diff --git a/.env b/.env
index 26af6ecc1..366f929c3 100644
--- a/.env
+++ b/.env
@@ -36,4 +36,4 @@ CUSTOM_SCRIPT_SRC=https://dap.digitalgov.gov/Universal-Federated-Analytics-Min.j
CUSTOM_SCRIPT_ID=_fed_an_ua_tag
FEATURE_NEW_EXPLORATION = 'TRUE'
-SHOW_CONFIGURABLE_COLOR_MAP = 'TRUE'
\ No newline at end of file
+SHOW_CONFIGURABLE_COLOR_MAP = 'TRUE'
diff --git a/.veda/ui b/.veda/ui
index 387401f80..743089f08 160000
--- a/.veda/ui
+++ b/.veda/ui
@@ -1 +1 @@
-Subproject commit 387401f80276314900c58c8546fae3570385a979
+Subproject commit 743089f08ef6bcb54d23c94414ed92183b6e26e9
diff --git a/common/constants.js b/common/constants.js
index d7a72b00f..196c3a736 100644
--- a/common/constants.js
+++ b/common/constants.js
@@ -88,7 +88,7 @@ export const dataEngagements = [
"desc": "Detailed dataset information for insight into greenhouse gas sources, sinks, emissions, and large events.",
"img": {
"src": new URL('./media/data_catalog.png', import.meta.url).href,
- "alt": "image of oil refinery"
+ "alt": "icon showing file drawers with an earth representing data card catalog."
},
"link": {
"url": "/data-catalog",
@@ -101,7 +101,7 @@ export const dataEngagements = [
"desc": "The exploration and analysis environment can be used to visually examine data on a customizable map and create a time series of basic statistics.",
"img": {
"src": new URL('./media/interactive_map.png', import.meta.url).href,
- "alt": "image of green wetlands"
+ "alt": "icon drawing showing map with a magnifying glass and indicating a clock for temporal data."
},
"link": {
"url": "/exploration",
@@ -114,35 +114,63 @@ export const dataEngagements = [
"desc": "With JupyterHub, users can analyze cloud archives of Earth science data using an interactive environment. Log in or request access here.",
"img": {
"src": new URL('./media/jupyter_hub.png', import.meta.url).href,
- "alt": "image of colorful polygon against satellite landscape surface in brown"
+ "alt": "icon drawing code, plots and figures made with data in the cloud."
},
"link": {
"url": "https://hub.ghg.center",
"text": "View more"
},
"footer": null
+ },
+ {
+ "title": "Documentation",
+ "desc": "Access technical documentation for US GHG Center data services, including a collection of code notebooks and instructions for accessing data via API.",
+ "img": {
+ "src": new URL('./media/documentation.png', import.meta.url).href,
+ "alt": "icon of an open laptop surrounded by icons of documents, and a chart."
+ },
+ "link": {
+ "url": "https://us-ghg-center.github.io/ghgc-docs/",
+ "text": "View more"
+ },
+ "footer": null
}
];
export const customInterfaces = [
+ {
+ "title": "GOES Large Plume Visualization",
+ "desc": "NOAA’s GOES is the Western Hemisphere’s most advanced weather-monitoring satellite system, capable of detecting very large methane plumes. A new tool using GOES-16 data allows users to visualize large methane emission events, select the region and plume of interest, and animate to see how the plume changes over five-minute intervals.",
+ "hideExternalLinkFlag": true,
+ "img": {
+ "src": new URL('./media/GOES_Methane_Plume_viewer_card.png', import.meta.url).href,
+ "alt": "map showing colorful methane gas plume from GOES over a green surface satellite image on June 15, 2020 in Indiana"
+ },
+ "link": {
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/goes-plume-viewer/",
+ "text": "See more"
+ },
+ "footer": null
+ },
{
"title": "EMIT Methane Plume Viewer",
- "desc": "Detailed information for methane plumes identified using EMIT.",
+ "desc": "NASA’s EMIT instrument measures mineral dust, carbon dioxide and methane from the International Space Station. This updated interactive plume viewer offers a global map of large, point source methane plumes. New functionalities include EMIT overpasses over time, geographic plume quantifications, and a point-and-click plume measurement tool.",
+ "hideExternalLinkFlag": true,
"img": {
- "src": new URL('./media/emit.jpg', import.meta.url).href,
+ "src": new URL('./media/EMIT_Plume_Viewer_card.png', import.meta.url).href,
"alt": "view of colored shape overlaid on satellite landscape image with boxes of information containing plume details"
},
"link": {
- "url": "/data-catalog/emit-ch4plume-v1",
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/emit-ch4plume-v1",
"text": "See more"
},
"footer": null
},
{
"title": "NOAA Concentration Viewer",
- "desc": "Measurements of carbon dioxide and methane concentrations from ground stations throughout the US and worldwide.",
+ "desc": "Get a bird’s-eye view of NOAA’s atmospheric measurements from ground stations around the globe, and explore how methane and carbon dioxide concentrations have changed over time. These data include tower, ground site and flask measurements as part of NOAA’s Global Greenhouse Gas Reference Network.",
"img": {
- "src": new URL('./media/co2.jpg', import.meta.url).href,
+ "src": new URL('./media/NOAA_Methane_Concentration_Viewer_card.png', import.meta.url).href,
"alt": "map showing Mauna Loa location of station with a time series of data below the map"
},
"link": {
@@ -153,20 +181,20 @@ export const customInterfaces = [
"links": [
{
"title": "Carbon Dioxide",
- "url": "/data-catalog/noaa-gggrn-co2-concentrations"
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/noaa-gggrn-ghg-concentrations/index.html?ghg=co2&frequency=all"
},
{
"title": "Methane",
- "url": "/data-catalog/noaa-gggrn-ch4-concentrations"
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/noaa-gggrn-ghg-concentrations/index.html?ghg=ch4&frequency=all"
}
]
}
},
{
"title": "NIST Tower Data Viewer",
- "desc": "Measurements of carbon dioxide and methane concentrations from urban tower instruments.",
+ "desc": "An interactive methane and carbon dioxide data tool for NIST’s Urban GHG Measurements Testbed System, using measurements from ground-based observing networks in three urban testbeds across the U.S.",
"img": {
- "src": new URL('./media/nist-co2-nwb.jpg', import.meta.url).href,
+ "src": new URL('./media/NIST_NEC_Methane_Viewer_card1.png', import.meta.url).href,
"alt": "map showing Northwest Baltimore, MD location of station with a time series of data below the map"
},
"link": {
@@ -177,15 +205,15 @@ export const customInterfaces = [
"links": [
{
"title": "Indianapolis Flux Experiment (INFLUX)",
- "url": "/data-catalog/influx-testbed-ghg-concentrations"
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/nist-interface/?agency=nist®ion=in&zoom-level=8"
},
{
"title": "Los Angeles Megacity Carbon Project",
- "url": "/data-catalog/lam-testbed-ghg-concentrations"
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/nist-interface/?agency=nist®ion=lam&zoom-level=7"
},
{
"title": "Northeast Corridor (NEC) Urban Test Bed",
- "url": "/data-catalog/nec-testbed-ghg-concentrations"
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/nist-interface/?agency=nist®ion=nec&zoom-level=5"
}
]
}
diff --git a/common/keypoints.tsx b/common/keypoints.tsx
index f618187c4..3a749e0c4 100644
--- a/common/keypoints.tsx
+++ b/common/keypoints.tsx
@@ -1,6 +1,8 @@
import React from "$veda-ui/react";
import SmartLink from '$veda-ui-scripts/components/common/smart-link';
+import { ExternalLinkFlag } from '$veda-ui-scripts/components/common/card/';
+
import {
Card,
CardHeader,
@@ -20,6 +22,7 @@ import "./styles.scss"
type Data = {
title: string;
desc: string;
+ hideExternalLinkFlag?: boolean;
img: {
src: string;
alt: string;
@@ -59,6 +62,12 @@ export default function Keypoints({
className: `border-0 position-relative card-shadow__hover margin-top-1 margin-right-2 ${cardType === 'cover' ? 'card__cover height-card-lg' : ''}`,
}}
>
+ {
+ ( !!datum.link.url.startsWith("http") && !datum.hideExternalLinkFlag ) &&
+
+
+
+ }
diff --git a/common/media/EMIT_Plume_Viewer_card.png b/common/media/EMIT_Plume_Viewer_card.png
new file mode 100644
index 000000000..41407d2f7
Binary files /dev/null and b/common/media/EMIT_Plume_Viewer_card.png differ
diff --git a/common/media/EPA_Gridded_Methane_card.png b/common/media/EPA_Gridded_Methane_card.png
new file mode 100644
index 000000000..982feae67
Binary files /dev/null and b/common/media/EPA_Gridded_Methane_card.png differ
diff --git a/common/media/GOES_Methane_Plume_viewer_card.png b/common/media/GOES_Methane_Plume_viewer_card.png
new file mode 100644
index 000000000..ebeb292f8
Binary files /dev/null and b/common/media/GOES_Methane_Plume_viewer_card.png differ
diff --git a/common/media/NIST_NEC_Methane_Viewer_card1.png b/common/media/NIST_NEC_Methane_Viewer_card1.png
new file mode 100644
index 000000000..c852b719b
Binary files /dev/null and b/common/media/NIST_NEC_Methane_Viewer_card1.png differ
diff --git a/common/media/NOAA_Methane_Concentration_Viewer_card.png b/common/media/NOAA_Methane_Concentration_Viewer_card.png
new file mode 100644
index 000000000..97125cd0d
Binary files /dev/null and b/common/media/NOAA_Methane_Concentration_Viewer_card.png differ
diff --git a/common/media/co2.jpg b/common/media/co2.jpg
deleted file mode 100644
index 9a6f2a2a3..000000000
Binary files a/common/media/co2.jpg and /dev/null differ
diff --git a/common/media/documentation.png b/common/media/documentation.png
new file mode 100644
index 000000000..8f8979848
Binary files /dev/null and b/common/media/documentation.png differ
diff --git a/common/media/emit.jpg b/common/media/emit.jpg
deleted file mode 100644
index 634cb361b..000000000
Binary files a/common/media/emit.jpg and /dev/null differ
diff --git a/common/media/nist-co2-nwb.jpg b/common/media/nist-co2-nwb.jpg
deleted file mode 100644
index 156f7078c..000000000
Binary files a/common/media/nist-co2-nwb.jpg and /dev/null differ
diff --git a/custom-pages/common/LearnMore.tsx b/custom-pages/common/LearnMore.tsx
new file mode 100644
index 000000000..c98e07f12
--- /dev/null
+++ b/custom-pages/common/LearnMore.tsx
@@ -0,0 +1,48 @@
+import React from "$veda-ui/react";
+import { Link } from '$veda-ui/react-router-dom';
+import {
+ Grid,
+} from '$veda-ui/@trussworks/react-uswds';
+
+import {
+ CollecticonTextBlock,
+ CollecticonEnvelope,
+ CollecticonSpeechBalloon,
+} from '$veda-ui/@devseed-ui/collecticons';
+
+import { Title } from "../../common/styled-components";
+import { SUBSCRIPTION_URL } from "../../constants";
+
+
+export default function LearnMore() {
+ return (
+
+ Learn More and Share Your Ideas
+
+
+
+
+
+
+ For the latest updates and information about the US GHG Center or to join a focus area group, subscribe to our email updates list.
+
+
+
+
+
+
+
+ Read more about the US GHG Center news, trainings, and workshop opportunities on the News and Events page.
+
+
+
+
+
+
+
+ Do you have a US GHG Center portal suggestion or question? Reach the team using the "Contact Us" button at the top or bottom of every page.
+
+
+
+ )
+}
diff --git a/custom-pages/data-toolkit/component.tsx b/custom-pages/data-toolkit/component.tsx
index 592f37ffb..37a5a7fa0 100644
--- a/custom-pages/data-toolkit/component.tsx
+++ b/custom-pages/data-toolkit/component.tsx
@@ -1,19 +1,13 @@
import React from "$veda-ui/react";
-import { Link } from "$veda-ui/react-router-dom";
import '$veda-ui/@trussworks/react-uswds/lib/index.css'
import {
- Grid,
GridContainer,
} from '$veda-ui/@trussworks/react-uswds';
-import {
- CollecticonTextBlock,
- CollecticonEnvelope,
- CollecticonSpeechBalloon,
-} from '$veda-ui/@devseed-ui/collecticons';
-
import Keypoints from "../../common/keypoints";
+import LearnMore from "../common/LearnMore";
+
import { dataEngagements, focusAreaDatasets, customInterfaces } from "../../common/constants";
import { SUBSCRIPTION_URL } from "../../constants";
@@ -48,33 +42,7 @@ export default function Component() {
-
- Learn More and Share Your Ideas
-
-
-
-
-
- For the latest updates and information about the US GHG Center or to join a focus area group, subscribe to our email updates list.
-
-
-
-
-
-
-
- Read more about the US GHG Center news, trainings, and workshop opportunities on the News and Events page.
-
-
-
-
-
-
-
- Do you have a US GHG Center portal suggestion or question? Reach the team using the "Contact Us" button at the top or bottom of every page.
-
-
-
+
)
diff --git a/custom-pages/news-and-events/news-page-content.js b/custom-pages/news-and-events/news-page-content.js
index 348ec11a2..a5fd693aa 100644
--- a/custom-pages/news-and-events/news-page-content.js
+++ b/custom-pages/news-and-events/news-page-content.js
@@ -163,15 +163,15 @@ export const EVENT_ITEMS = sortByDateCustom([
{
name: ' AGU Pre-conference Workshop',
asLink : {
- url: 'https://www.agu.org/annual-meeting/attend#register'
+ url: 'https://agu.confex.com/agu/agu24/meetingapp.cgi/Session/229081'
},
media: {
src: new URL('./media/events/agu_logo.png', import.meta.url).href,
alt: 'AGU Logo'
},
description: "On Sunday, December 8 (1:00 - 4:30PM EST), US GHG Center team members will host a workshop at the 2024 American Geophysical Union annual conference. Join us at Advancing Open Science: Greenhouse Gas Emission Data Analysis using the U.S. Greenhouse Gas Center’s JupyterHub. Early bird registration ends on November 6.",
- startDate: '2024-12-04',
- endDate: '2024-12-05'
+ startDate: '2024-12-08',
+ endDate: '2024-12-08'
},
{
name: 'Join the 2nd Annual Stakeholder Forum; Dec 4-5, 2024',
@@ -184,7 +184,7 @@ export const EVENT_ITEMS = sortByDateCustom([
},
description: "This 2-day forum will focus on gathering input from the stakeholder community to inform the Center's priorities and future directions. Join us on Dec 4-5, 2024 in College Park, Maryland!",
startDate: '2024-12-04',
- endDate: '2024-12-06'
+ endDate: '2024-12-05'
},
{
name: 'Policy Speaker Series: An Overview of the Global Greenhouse Gas Watch (G3W)',
diff --git a/custom-pages/topics/component.tsx b/custom-pages/topics/component.tsx
index 7bc7b948a..1fe70e538 100644
--- a/custom-pages/topics/component.tsx
+++ b/custom-pages/topics/component.tsx
@@ -1,27 +1,17 @@
import React from "$veda-ui/react";
-import { Link } from '$veda-ui/react-router-dom';
import {
- Card,
- CardHeader,
- CardBody,
- CardMedia,
- CardGroup,
- Grid,
GridContainer,
} from '$veda-ui/@trussworks/react-uswds';
-import {
- CollecticonTextBlock,
- CollecticonEnvelope,
- CollecticonSpeechBalloon,
-} from '$veda-ui/@devseed-ui/collecticons';
-
import { focusAreasStories } from "../../common/constants";
import { Title } from "../../common/styled-components";
import Keypoints from "../../common/keypoints";
+import Topic from "./components/Topic";
+import LearnMore from "../common/LearnMore";
import { SUBSCRIPTION_URL } from "../../constants";
+import topics from "./topics";
import '../../common/styles.scss';
import './topics.scss';
@@ -30,24 +20,19 @@ export default function HomeComponent() {
return (
- Content Collections by Topic
-
-
-
-
-
-
-
-
Urban Emissions
-
-
-
- Cities and metropolitan regions, where most of the world's population live, are responsible for approximately 70% of greenhouse gas emissions. Researchers are making rapid advances in urban emissions measurement and modeling to provide robust, accurate, and reliable emissions estimates at fine scales. The U.S. Greenhouse Gas Center offers an introduction to new urban-relevant datasets and highlights innovative emissions research in cities across the country.
-
-
-
-
-
+ Content Collections by Topic
+
+ {
+ !!topics.length && topics.map(topic => (
+
+ ))
+ }
Core Science Focus Areas
@@ -55,33 +40,7 @@ export default function HomeComponent() {
-
- Learn More and Share Your Ideas
-
-
-
-
-
- For the latest updates and information about the US GHG Center or to join a focus area group, subscribe to our email updates list.
-
-
-
-
-
-
-
- Read more about the US GHG Center news, trainings, and workshop opportunities on the News and Events page.
-
-
-
-
-
-
-
- Do you have a US GHG Center portal suggestion or question? Reach the team using the "Contact Us" button at the top or bottom of every page.
-
-
-
+
+
+
+
+
+ )
+}
diff --git a/custom-pages/topics/topics.js b/custom-pages/topics/topics.js
new file mode 100644
index 000000000..1d2099031
--- /dev/null
+++ b/custom-pages/topics/topics.js
@@ -0,0 +1,20 @@
+export default [
+ {
+ "title": "Methane Emissions",
+ "description": "Methane is a greenhouse gas emitted by a complex mix of natural sources and human activities. The structure of methane molecules makes the chemical compound particularly powerful at trapping heat: the comparative impact of methane is 28 times greater than carbon dioxide over a 100-year period. These attributes make methane an attractive target for both public and private efforts to research and reduce emissions, with near-term benefits for global temperatures, air quality, and industrial efficiency.",
+ "img": {
+ "src": new URL('../../overrides/media/Methane_Carousel_card.png', import.meta.url).href,
+ "alt": "globe with purple gas swirls and overlaid text showing the word methane and CH4."
+ },
+ "href": "/stories/methane",
+ },
+ {
+ "title": "Urban Emissions",
+ "description": "Cities and metropolitan regions, where most of the world's population live, are responsible for approximately 70% of greenhouse gas emissions. Researchers are making rapid advances in urban emissions measurement and modeling to provide robust, accurate, and reliable emissions estimates at fine scales. The U.S. Greenhouse Gas Center offers an introduction to new urban-relevant datasets and highlights innovative emissions research in cities across the country.",
+ "img": {
+ "src": new URL('./media/1-maia-los-angeles-1041.png', import.meta.url).href,
+ "alt": "distant view of hazy cityscape."
+ },
+ "href": "/stories/urban",
+ },
+]
diff --git a/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx b/datasets/ct-ch4-monthgrid-v2023.data.mdx
similarity index 61%
rename from datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx
rename to datasets/ct-ch4-monthgrid-v2023.data.mdx
index 9be4bc8c3..da43608e7 100644
--- a/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx
+++ b/datasets/ct-ch4-monthgrid-v2023.data.mdx
@@ -1,32 +1,33 @@
---
-id: tm54dvar-ch4flux-monthgrid-v1
-name: TM5-4DVar Isotopic Methane Inverse Fluxes
-description: Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 1
+id: ct-ch4-monthgrid-v2023
+name: CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes
+description: Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 2023
usage:
- - url: 'https://us-ghg-center.github.io/ghgc-docs/cog_transformation/tm54dvar-ch4flux-monthgrid-v1.html'
+ - url: 'https://us-ghg-center.github.io/ghgc-docs/cog_transformation/ct-ch4-monthgrid-v2023.html'
label: Notebook showing data transformation to COG for ingest to the US GHG Center
title: 'Data Transformation Notebook'
- url: 'https://us-ghg-center.github.io/ghgc-docs/datausage.html'
label: Notebooks to read, visualize, and explore data statistics
title: 'Data Usage Notebooks'
- - url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Ftm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb&branch=main'
+ - url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fct-ch4-monthgrid-v2023_User_Notebook.ipynb&branch=main'
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#tm54dvar-ch4flux-monthgrid-v1/
+ - url: https://data.ghg.center/browseui/index.html#ct-ch4-monthgrid-v2023/
label: Browse and download the data
title: Data Browser
media:
- src: ::file ./media/tm5--dataset-cover.jpg
+ src: ::file ./media/ct-ch4-monthgrid-v2023-cover.jpg
alt: Landfill
author:
- name: Katie Rodriguez
- url: https://unsplash.com/photos/qsVWEGNnIrM
+ name: Figure by Matt Ziminski and Youmi Oh
+ url: https://gml.noaa.gov/ccgg/carbontracker-ch4/
taxonomy:
- name: Topics
values:
- Anthropogenic Emissions
- Natural Emissions and Sinks
+ - Methane
- name: Source
values:
- NASA
@@ -40,16 +41,16 @@ taxonomy:
- Model Output
infoDescription: |
::markdown
- - Temporal Extent: January 1999 - December 2016
+ - Temporal Extent: January 1998 - December 2021
- Temporal Resolution: Monthly
- Spatial Extent: Global
- Spatial Resolution: 1° x 1°
- Data Units: Grams of methane per square meter per year (g CH₄/m²/year)
- Data Type: Research
- - Data Latency: Approximately 2 years
+ - Data Latency: Updated annually
layers:
- id: total-ch4
- stacCol: tm54dvar-ch4flux-mask-monthgrid-v1
+ stacCol: ct-ch4-monthgrid-v2023
name: Total CH₄ Emission
type: raster
description: Total methane emission from microbial, fossil and pyrogenic sources.
@@ -58,16 +59,16 @@ layers:
id: 'equirectangular'
zoomExtent:
- 0
- - 20
+ - 0
sourceParams:
assets: total
colormap_name: purd
rescale:
- - 0.48
- - 24
+ - 0
+ - 50
compare:
- datasetId: tm54dvar-ch4flux-monthgrid-v1
+ datasetId: ct-ch4-monthgrid-v2023
layerId: total-ch4
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
@@ -77,8 +78,8 @@ layers:
unit:
label: g CH₄/m²/year
type: gradient
- min: 0.48
- max: 24
+ min: 0
+ max: 50
stops:
- '#F7F4F9'
- '#E9E3F0'
@@ -105,10 +106,10 @@ layers:
src: ::file ./media/tm54dvar-ch4flux-monthgrid-v1.thumbnails.total.png
alt: TM5-4DVar Isotopic CH₄ Inverse Fluxes - Total CH₄ Emission
- id: microbial-ch4
- stacCol: tm54dvar-ch4flux-mask-monthgrid-v1
+ stacCol: ct-ch4-monthgrid-v2023
name: Microbial CH₄ Emission
type: raster
- description: Emission of methane from all microbial sources, such as wetlands, agriculture and termites.
+ description: Emission of methane from all microbial sources, such as wetlands, ruminants, agriculture and termites.
initialDatetime: newest
projection:
id: 'equirectangular'
@@ -119,11 +120,11 @@ layers:
assets: microbial
colormap_name: purd
rescale:
- - 0.3
- - 15
+ - 0
+ - 30
compare:
- datasetId: tm54dvar-ch4flux-monthgrid-v1
+ datasetId: ct-ch4-monthgrid-v2023
layerId: microbial-ch4
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
@@ -133,8 +134,8 @@ layers:
unit:
label: g CH₄/m²/year
type: gradient
- min: 0.3
- max: 15
+ min: 0
+ max: 30
stops:
- '#F7F4F9'
- '#E9E3F0'
@@ -161,7 +162,7 @@ layers:
src: ::file ./media/tm54dvar-ch4flux-monthgrid-v1.thumbnails.microbial.png
alt: TM5-4DVar Isotopic CH₄ Inverse Fluxes - Microbial CH₄ Emission
- id: fossil-ch4
- stacCol: tm54dvar-ch4flux-mask-monthgrid-v1
+ stacCol: ct-ch4-monthgrid-v2023
name: Fossil CH₄ Emission
type: raster
description: Emission of methane from all fossil sources, such as oil and gas activities and coal mining.
@@ -175,11 +176,11 @@ layers:
assets: fossil
colormap_name: purd
rescale:
- - 0.24
- - 12
+ - 0
+ - 50
compare:
- datasetId: tm54dvar-ch4flux-monthgrid-v1
+ datasetId: ct-ch4-monthgrid-v2023
layerId: fossil-ch4
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
@@ -189,8 +190,8 @@ layers:
unit:
label: g CH₄/m²/year
type: gradient
- min: 0.24
- max: 12
+ min: 0
+ max: 50
stops:
- '#F7F4F9'
- '#E9E3F0'
@@ -217,7 +218,7 @@ layers:
src: ::file ./media/tm54dvar-ch4flux-monthgrid-v1.thumbnails.fossil.png
alt: TM5-4DVar Isotopic CH₄ Inverse Fluxes - Fossil CH₄ Emission
- id: pyrogenic-ch4
- stacCol: tm54dvar-ch4flux-mask-monthgrid-v1
+ stacCol: ct-ch4-monthgrid-v2023
name: Pyrogenic CH₄ Emission
type: raster
description: Emission of methane from all sources of biomass burning, such as wildfires and crop residue burning.
@@ -231,11 +232,11 @@ layers:
assets: pyrogenic
colormap_name: purd
rescale:
- - 0.032
- - 1.60
+ - 0
+ - 8
compare:
- datasetId: tm54dvar-ch4flux-monthgrid-v1
+ datasetId: ct-ch4-monthgrid-v2023
layerId: pyrogenic-ch4
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
@@ -245,8 +246,8 @@ layers:
unit:
label: g CH₄/m²/year
type: gradient
- min: 0.032
- max: 1.60
+ min: 0
+ max: 8
stops:
- '#F7F4F9'
- '#E9E3F0'
@@ -277,68 +278,85 @@ layers:
- **Temporal Extent:** January 1999 - December 2016
+ **Temporal Extent:** January 1998 - December 2021
**Temporal Resolution:** Monthly
**Spatial Extent:** Global
**Spatial Resolution:** 1° x 1°
**Data Units:** Grams of methane per square meter per year (g CH₄/m²/year)
**Data Type:** Research
- **Data Latency:** Approximately 2 years
+ **Data Latency:** Updated annually
- Surface methane (CH₄) emissions are derived from atmospheric measurements of methane and its ¹³C carbon isotope content. Different sources of methane contain different ratios of the two stable isotopologues, ¹²CH₄ and ¹³CH₄. This makes normally indistinguishable collocated sources of methane, say from agriculture and oil and gas exploration, distinguishable. The National Oceanic and Atmospheric Administration (NOAA) collects whole air samples from its global cooperative network of flasks (https://gml.noaa.gov/ccgg/about.html), which are then analyzed for methane and other trace gases. A subset of those flasks are also analyzed for ¹³C of methane in collaboration with the Institute of Arctic and Alpine Research at the University of Colorado Boulder. Scientists at the National Aeronautics and Space Administration (NASA) and NOAA used those measurements of methane and ¹³C of methane in conjunction with a model of atmospheric circulation to estimate emissions of methane separated by three source types, microbial, fossil and pyrogenic. Microbial emissions are produced by microbial decomposition of present-day organic matter, such as in wetlands, agricultural fields, livestock and landfills. Fossil emissions come from the breakdown of ancient carbonaceous matter deep underground, such as natural gas, coal bed methane, and small amounts of naturally occurring geologic seeps. Finally, pyrogenic emissions come from the burning of present-day organic matter, such as from wildfires and biofuels. These three sources of methane come with slightly different ¹³C content, and therefore can be separated given enough atmospheric measurements. This dataset presents monthly methane emissions from microbial, fossil and pyrogenic sources, along with a layer of total methane emissions from all three sources combined, at 1° resolution from 1999 to 2016.
+ Surface methane (CH₄) emissions are derived from atmospheric measurements of methane and its ¹³C carbon isotope content. Different sources of methane contain different ratios of the two stable isotopologues, ¹²CH₄ and ¹³CH₄. This makes normally indistinguishable collocated sources of methane, say from agriculture and oil and gas exploration, distinguishable. The National Oceanic and Atmospheric Administration (NOAA) collects whole air samples from its global cooperative network of flasks (https://gml.noaa.gov/ccgg/about.html), which are then analyzed for methane and other trace gases. A subset of those flasks are also analyzed for ¹³C of methane in collaboration with the Institute of Arctic and Alpine Research at the University of Colorado Boulder. The ground and airborne CH₄ and ¹³CH₄ data used to optimize the methane emissions for CarbonTracker-CH₄ are publicly available by [Lan et al. 2023](https://gml.noaa.gov/ccgg/arc/?id=166).
+
+ Scientists at NOAA and the National Aeronautics and Space Administration (NASA) used those measurements of methane and ¹³C of methane in conjunction with a model of atmospheric circulation to estimate emissions of methane separated by three source types, microbial, fossil and pyrogenic. Microbial emissions are produced by microbial decomposition of present-day organic matter, such as in wetlands, agricultural fields, livestock and landfills. Fossil emissions come from the breakdown of ancient carbonaceous matter deep underground, such as natural gas, coal bed methane, and small amounts of naturally occurring geologic seeps. Finally, pyrogenic emissions come from the burning of present-day organic matter, such as from wildfires and biofuels. These three sources of methane come with slightly different ¹³C content, and therefore can be separated given enough atmospheric measurements. This dataset presents monthly methane emissions from microbial, fossil and pyrogenic sources, along with a layer of total methane emissions from all three sources combined, at 1° resolution from 1998 to 2021.
## Source Data Product Citation
- Basu, Sourish, Lan, Xin, Dlugokencky, Edward, Michel, Sylvia, Schwietzke, Stefan, Miller, John, Bruhwiler, Lori, Oh, Youmi, Tans, Pieter, Apadula, Francesco, Gatti, Luciana, Jordan, Armin, Necki, Jaroslaw, Sasakawa, Motoki, Morimoto, Shinji, Di Iorio, Tatiana, Lee, Haeyoung, Arduini, Jgor, & Manca, Giovanni. (2022). Gridded posterior methane emissions [Data set]. *Zenodo*. https://doi.org/10.5281/zenodo.8264109
-
+ CarbonTracker CT-CH4-2023 results provided by NOAA GML, Boulder, Colorado, USA from the website at [https://doi.org/10.25925/40jt-qd67](https://doi.org/10.25925/40jt-qd67)
+
+ ## Version History
+ The version was updated from v1 to v2023 in the US GHG Center in December 2024. Updates include:
+ - Expanded data availability from January 1998 - December 2021 (v1 data was only available for January 1999 - December 2016)
+ - Several adjustments were made to model inputs. For detailed version update information, please refer to: [https://gml.noaa.gov/ccgg/carbontracker-ch4/version.php](https://gml.noaa.gov/ccgg/carbontracker-ch4/version.php)
+ - The version of the data previously available in the US GHG Center (v1) remains accessible at [https://doi.org/10.5281/zenodo.8264108](https://doi.org/10.5281/zenodo.8264108)
+ - The STAC ID for the previous version in the [US GHG Center STAC Catalog](https://radiantearth.github.io/stac-browser/#/external/earth.gov/ghgcenter/api/stac/?.language=en) is tm54dvar-ch4flux-monthgrid-v1
+
## Dataset Accuracy
- Evaluating the accuracy and uncertainty of gridded emissions data is challenging because of the lack of direct physical measurements on grid scales. The emissions presented here were transported by an atmospheric model, and the resulting methane and ¹³C of methane fields were compared to atmospheric measurements of methane and ¹³C of methane globally over multiple decades. Under that transformation and within the bounds of model and observational uncertainty, these emissions satisfy the spatial patterns and time trends seen in the atmospheric measurements.
+ Evaluating the accuracy and uncertainty of gridded emissions data is challenging because of the lack of direct physical measurements on grid scales. The emissions presented here were transported by an atmospheric model, and the resulting methane and ¹³C of methane fields were compared to atmospheric measurements of methane and ¹³C of methane globally over multiple decades. Under that transformation and within the bounds of model and observational uncertainty, these emissions satisfy the spatial patterns and time trends seen in the atmospheric measurements. More information about the model-data comparison and evaluation of the model results can be found at: [https://doi.org/10.25925/40jt-qd67](https://doi.org/10.25925/40jt-qd67).
## Disclaimer
This dataset has been transformed from its original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) for display in the US GHG Center. Careful quality checks are used to ensure data transformation has been performed correctly.
- The emissions presented here are consistent with but not identical to the inversion result “CH₄+δ¹³CH₄” in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022). Annual continental and global totals of these emissions are identical to those reported in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022), while sub-continental and monthly patterns in these emissions are determined by the prior emissions used in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022).
+ ## Scientific Details
+ Surface emissions were derived using an atmospheric inverse model described in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022). The modeling framework – including the transport model (Tracer Model 5 – Four-Dimensional Variational model (TM5-4DVar)), the atmospheric chemistry setup, and the specification of spatiotemporally explicit source signatures – are described in [Lan et al. 2021](https://doi.org/10.1029/2021GB007000).
- ## Scientific Details
- Surface emissions were derived using an atmospheric inverse model described in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022). The modeling framework – including the transport model (Tracer Model 5 – Four-Dimensional Variational model (TM5-4DVar)), the atmospheric chemistry setup, and the specification of spatiotemporally explicit source signatures – are described in [Lan et al. 2021](https://doi.org/10.1029/2021GB007000). Several different inversions were performed by [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022), both as sensitivity tests (for example to test the impact of assumed sources signatures and atmospheric chemistry on the results) and to test specific hypotheses (for example to attribute the post-2007 growth in methane). The emissions shown here correspond to the “best case” simulation from [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022), labeled as “CH₄+δ¹³CH₄” in that publication.
-
- The atmospheric inverse model was run at 3° (longitude) x 2° (latitude) globally to estimate monthly surface emissions. The atmospheric inversion problem is under-constrained, and therefore inversely estimated emissions cannot be interpreted at the grid scale. Therefore, to present 1°x1° emission maps for the U.S. GHG Center, prior 1°x1° emissions were scaled to match the posterior continental and global totals for each source type and year.
+ The atmospheric inverse model was run at 3° (longitude) x 2° (latitude) globally to estimate monthly surface emissions. The atmospheric inversion problem is under-constrained, and therefore inversely estimated emissions cannot be interpreted at the grid scale. Therefore, to present 1°x1° emission maps for the US GHG Center, prior 1°x1° emissions were scaled to match the posterior gridded monthly totals for each source type.
## Key Publications
- Basu, S., Lan, X., Dlugokencky, E., Michel, S., Schwietzke, S., Miller, J. B., Bruhwiler, L., Oh, Y., Tans, P. P., Apadula, F., Gatti, L. V., Jordan, A., Necki, J., Sasakawa, M., Morimoto, S., Di Iorio, T., Lee, H., Arduini, J., & Manca, G. (2022). Estimating emissions of methane consistent with atmospheric measurements of methane and δ¹³C of methane. *Atmospheric Chemistry and Physics Discussions*, 1–38. [https://doi.org/10.5194/acp-22-15351-2022](https://doi.org/10.5194/acp-22-15351-2022)
+ Oh, Y., Bruhwiler, L., Lan, X., Basu, S., Schuldt, K., Thoning, K., Michel, S. E., Clark, R., Miller, J. B., Andrews, A., Sherwood, O., Etiope, G., Crippa, M., Liu, L., Zhuang, Q., Randerson, J., van der Werf, G., Aalto, T., Amendola, S., … Xueref-Remy, I. (2023). CarbonTracker-CH4 Documentation CT-CH4 2023 release. [https://gml.noaa.gov/ccgg/carbontracker-ch4/documentation.php](https://gml.noaa.gov/ccgg/carbontracker-ch4/documentation.php)
+
+ Lan, X., Schuldt, K., Michel, S. E., Mund, J., Bruhwiler, L., Oh, Y., Basu, S., Thoning, K., Clark, R., Miller, J. B., Andrews, A., Dlugokencky, E., Tans, P., Aalto, T., Amendola, S., Andra, S., C., Andrade, M., Nguyen, N. A., Aoki, S., … Xueref-Remy, I. "Database of Methane (CH4) Abundance and Its Stable Carbon Isotope (d13C-CH4) Composition from Atmospheric Measurements Used Infor CarbonTracker-CH4 2023." NOAA Global Monitoring Laboratory, 2023. [https://doi.org/10.15138/T4MZ-2Z29](https://doi.org/10.15138/T4MZ-2Z29)
+
+ Basu, S., Lan, X., Dlugokencky, E., Michel, S., Schwietzke, S., Miller, J. B., Bruhwiler, L., Oh, Y., Tans, P. P., Apadula, F., Gatti, L. V., Jordan, A., Necki, J., Sasakawa, M., Morimoto, S., Di Iorio, T., Lee, H., Arduini, J., and Manca, G. (2022). Estimating emissions of methane consistent with atmospheric measurements of methane and δ¹³C of methane. *Atmospheric Chemistry and Physics, 22*(23), 15351–15377. [https://doi.org/10.5194/acp-22-15351-2022](https://doi.org/10.5194/acp-22-15351-2022)
Lan, X., Basu, S., Schwietzke, S., Bruhwiler, L. M. P., Dlugokencky, E. J., Michel, S. E., Sherwood, O. A., Tans, P. P., Thoning, K., Etiope, G., Zhuang, Q., Liu, L., Oh, Y., Miller, J. B., Pétron, G., Vaughn, B. H., & Crippa, M. (2021). Improved Constraints on Global Methane Emissions and Sinks Using δ¹³C-CH₄. *Global Biogeochemical Cycles, 35*, e2021GB007000. [https://doi.org/10.1029/2021GB007000](https://doi.org/10.1029/2021GB007000)
+ Bruhwiler, L., Dlugokencky, E., Masarie, K., Ishizawa, M., Andrews, A., Miller, J., Sweeney, C., Tans, P. & Worthy, D. (2014). CarbonTracker-CH4: an assimilation system for estimating emissions of atmospheric methane. *Atmospheric Chemistry and Physics, 14*(16), 8269-8293. [https://doi.org/10.5194/acp-14-8269-2014](https://doi.org/10.5194/acp-14-8269-2014)
+
## Other Relevant Publications
+ Michel, S. E., Lan, X., Miller, J., Tans, P., Clark, J. R., Schaefer, H., Sperlich, P., Brailsford, G., Morimoto, S., Moossen, H. & Li, J. (2024). Rapid shift in methane carbon isotopes suggests microbial emissions drove record high atmospheric methane growth in 2020–2022. *Proceedings of the National Academy of Sciences, 121*(44), e2411212121. [https://doi.org/10.1073/pnas.2411212121](https://doi.org/10.1073/pnas.2411212121)
+
Lan, X., Nisbet, E. G., Dlugokencky, E. J., & Michel, S. E. (2021). What do we know about the global methane budget? Results from four decades of atmospheric CH₄ observations and the way forward. *Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379*, 20200440. [https://doi.org/10.1098/rsta.2020.0440](https://doi.org/10.1098/rsta.2020.0440)
- Nisbet, E. G., Dlugokencky, E. J., Manning, M. R., Lowry, D., Fisher, R. E., France, J. L., Michel, S. E., Miller, J. B., White, J. W. C., Vaughn, B., Bousquet, P., Pyle, J. A., Warwick, N. J., Cain, M., Brownlow, R., Zazzeri, G., Lanoisellé, M., Manning, A. C., Gloor, E., … Ganesan, A. L. (2016). Rising atmospheric methane: 2007–2014 growth and isotopic shift. *Global Biogeochemical Cycles, 30*, 1356–1370. [https://doi.org/10.1002/2016GB005406](https://doi.org/10.1002/2016GB005406)
+ Nisbet, E. G., Dlugokencky, E. J., Manning, M. R., Lowry, D., Fisher, R. E., France, J. L., Michel, S. E., Miller, J. B., White, J. W. C., Vaughn, B., Bousquet, P., Pyle, J. A., Warwick, N. J., Cain, M., Brownlow, R., Zazzeri, G., Lanoisellé, M., Manning, A. C., Gloor, E., … Ganesan, A. L. (2016). Rising atmospheric methane: 2007–2014 growth and isotopic shift. *Global Biogeochemical Cycles, 30*, 1356–1370. [https://doi.org/10.1002/2016GB005406](https://doi.org/10.1002/2016GB005406)
Saunois, M., Stavert, A. R., Poulter, B., Bousquet, P., Canadell, J. G., Jackson, R. B., Raymond, P. A., Dlugokencky, E. J., Houweling, S., Patra, P. K., Ciais, P., Arora, V. K., Bastviken, D., Bergamaschi, P., Blake, D. R., Brailsford, G., Bruhwiler, L., Carlson, K. M., Carrol, M., … Zhuang, Q. (2020). The Global Methane Budget 2000-2017. *Earth System Science Data, 12*, 1561–1623. [https://doi.org/10.5194/essd-12-1561-2020](https://doi.org/10.5194/essd-12-1561-2020)
Schaefer, H., Fletcher, S. E. M., Veidt, C., Lassey, K. R., Brailsford, G. W., Bromley, T. M., Dlugokencky, E. J., Michel, S. E., Miller, J. B., Levin, I., Lowe, D. C., Martin, R. J., Vaughn, B. H., & White, J. W. C. (2016). A 21st century shift from fossil-fuel to biogenic methane emissions indicated by 13CH₄. *Science, 352*(6281), 80-84. [https://doi.org/10.1126/science.aad2705](https://doi.org/10.1126/science.aad2705)
- Schwietzke, S., Sherwood, O. A., Bruhwiler, L. M. P., Miller, J. B., Etiope, G., Dlugokencky, E. J., Michel, S. E., Arling, V. A., Vaughn, B. H., White, J. W. C., & Tans, P. P. (2016). Upward revision of global fossil fuel methane emissions based on isotope database. *Nature, 538*, 88–91. [https://doi.org/10.1038/nature19797](https://doi.org/10.1038/nature19797)
+ Schwietzke, S., Sherwood, O. A., Bruhwiler, L. M. P., Miller, J. B., Etiope, G., Dlugokencky, E. J., Michel, S. E., Arling, V. A., Vaughn, B. H., White, J. W. C., & Tans, P. P. (2016). Upward revision of global fossil fuel methane emissions based on isotope database. *Nature, 538*, 88–91. [https://doi.org/10.1038/nature19797](https://doi.org/10.1038/nature19797)
Sherwood, O. A., Schwietzke, S., & Lan, X. (2021). Global Inventory of Fossil and Non-fossil δ13C-CH₄ Source Signature Measurements for Improved Atmospheric Modeling, Database DOI: [https://doi.org/10.15138/qn55-e011](https://doi.org/10.15138/qn55-e011)
## Learn More
+ - Learn more about [CarbonTracker-CH₄ at NOAA](https://gml.noaa.gov/ccgg/carbontracker-ch4/carbontracker-ch4-2023/)
- Learn more about methane isotopes on [NOAA’s website](https://research.noaa.gov/2021/06/17/new-analysis-shows-microbial-sources-fueling-rise-of-atmospheric-methane/)
- - Learn about how different methane isotopes can help identify methane sources in the Tracking Greenhouse Gas Cycles story
+ - Check out this dataset mentioned in the Models and Observations Combine to Uncover Drivers of Natural Methane Emissions story
+ - Discover how different methane isotopes can help identify methane sources in the Tracking Greenhouse Gas Cycles story
## Acknowledgment
- This work was supported by funding from the National Aeronautics and Space Administration (NASA) and the National Oceanic and Atmospheric Administration (NOAA). Measurements of atmospheric methane and ¹³C of methane were supported by several partner agencies and laboratories globally as described in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022).
+ This work was supported by funding from the National Aeronautics and Space Administration (NASA) and the National Oceanic and Atmospheric Administration (NOAA). Measurements of atmospheric methane and ¹³C of methane were supported by several partner agencies and laboratories globally as described in [Basu et al. 2022](https://doi.org/10.5194/acp-22-15351-2022) and [Lan et al. 2023](https://gml.noaa.gov/ccgg/arc/?id=166).
## License
[Creative Commons Zero v1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/legalcode) (CC0 1.0)
## Data Stewardship
- - [Data Workflow](https://us-ghg-center.github.io/ghgc-docs/data_workflow/tm54dvar-ch4flux-monthgrid-v1_Data_Flow.html)
- - [Data Transformation Code](https://us-ghg-center.github.io/ghgc-docs/cog_transformation/tm54dvar-ch4flux-monthgrid-v1.html)
- - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/tm54dvar-ch4flux-monthgrid-v1_Processing%20and%20Verification%20Report.html)
+ - [Data Workflow](https://us-ghg-center.github.io/ghgc-docs/data_workflow/ct-ch4-monthgrid-v2023_Data_Flow.html)
+ - [Data Transformation Code](https://us-ghg-center.github.io/ghgc-docs/cog_transformation/ct-ch4-monthgrid-v2023.html)
+ - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/ct-ch4-monthgrid-v2023_Processing%20and%20Verification%20Report.html)
diff --git a/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx b/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
index 87a4b99fc..2b8a3e44b 100644
--- a/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
+++ b/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: "https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Feccodarwin-co2flux-monthgrid-v5_User_Notebook.ipynb&branch=main"
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#eccodarwin-co2flux-monthgrid-v5/
+ - url: https://data.ghg.center/browseui/index.html#eccodarwin-co2flux-monthgrid-v5/
label: Browse and download the data
title: Data Browser
media:
@@ -141,7 +141,7 @@ layers:
Carroll, D., Menemenlis, D., Dutkiewicz, S., Lauderdale, J. M., Adkins, J. F., Bowman, K. W., et al. (2022). Attribution of space-time variability in global-ocean dissolved inorganic carbon. *Global Biogeochemical Cycles, 36*, e2021GB007162. https://doi.org/10.1029/2021GB007162
## Learn More
- - See a video animation of ECCO-Darwin CO₂ flux data in the Tracking Greenhouse Gas Cycles Data Insight
+ - See a video animation of ECCO-Darwin CO₂ flux data in the Tracking Greenhouse Gas Cycles Story
- Check out the [ECCO-Darwin Story Map](https://www.ecco-group.org/storymaps.htm?id=45)
## Acknowledgment
diff --git a/datasets/emit-ch4plume-v1.data.mdx b/datasets/emit-ch4plume-v1.data.mdx
index d3e50893c..3ff19519e 100644
--- a/datasets/emit-ch4plume-v1.data.mdx
+++ b/datasets/emit-ch4plume-v1.data.mdx
@@ -24,6 +24,7 @@ taxonomy:
- name: Topics
values:
- Large Emission Events
+ - Methane
- name: Source
values:
- NASA
@@ -155,7 +156,8 @@ layers:
- EMIT data are available through the NASA LP DAAC and [additional information is available](https://lpdaac.usgs.gov/data/get-started-data/collection-overview/missions/emit-overview/#emit-metadata)
- The Jet Propulsion Lab (JPL) contains [VISIONS - The EMIT open data portal](https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/)
- See how EMIT contributes to new technologies to detect and quantify large methane release events in the Discovering Large Methane Emission Events with Remote Measurement story
- - Learn how EMIT and data collected by aircraft can be used together to better understand methane super emitter events in the [Tracking Methane Plumes from Space and Sky story](https://earth.gov/ghgcenter/stories/emit-and-aviris-3)
+ - Learn how EMIT and data collected by aircraft can be used together to better understand methane super emitter events in the Tracking Methane Plumes from Space and Sky story
+ - Get the latest update on EMIT and AVIRIS in the NASA Expands Capabilities in Methane Detection from Air and Space story
## Acknowledgment
Thanks to contributions of the entire EMIT engineering and science teams and the ISS team for enabling the EMIT mission. Thanks to NASA’s Earth Science Division with special thanks to Dr. Jack Kaye for continued support of the EMIT greenhouse gas application. Thanks to NASA LP DAAC for working with the US GHG Center to coordinate expedited data access.
diff --git a/datasets/epa-ch4emission-yeargrid-v2express.data.mdx b/datasets/epa-ch4emission-yeargrid-v2express.data.mdx
index d96a1f90c..8f4f813e8 100644
--- a/datasets/epa-ch4emission-yeargrid-v2express.data.mdx
+++ b/datasets/epa-ch4emission-yeargrid-v2express.data.mdx
@@ -1,7 +1,7 @@
---
id: epa-ch4emission-yeargrid-v2express
name: U.S. Gridded Anthropogenic Methane Emissions Inventory
-description: Spatially disaggregated 0.1°x 0.1° maps of annual U.S. anthropogenic methane emissions from over 25 emission sources, consistent with the U.S. Inventory of Greenhouse Gas Emissions and Sinks.
+description: Spatially disaggregated 0.1°x 0.1° maps of annual U.S. anthropogenic methane emissions from over 25 emission sources, consistent with the U.S. Inventory of Greenhouse Gas Emissions and Sinks
usage:
- url: "https://us-ghg-center.github.io/ghgc-docs/cog_transformation/epa-ch4emission-grid-v2express.html"
label: Notebook showing data transformation to COG for ingest to the US GHG Center
@@ -12,7 +12,7 @@ usage:
- url: "https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fepa-ch4emission-grid-v2express_User_Notebook.ipynb&branch=main"
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#epa-ch4emission-yeargrid-v2express/
+ - url: https://data.ghg.center/browseui/index.html#epa-ch4emission-yeargrid-v2express/
label: Browse and download the data
title: Data Browser
media:
@@ -24,6 +24,7 @@ taxonomy:
- name: Topics
values:
- Anthropogenic Emissions
+ - Methane
- name: Source
values:
- EPA
@@ -2655,7 +2656,7 @@ layers:
Maasakkers, J., Jacob, D., Sulprizio, M., Turner, A., Weitz, M., Wirth, T., Hight, C., DeFigueiredo, M., Desai, M., Schmeltz, R., Hockstad, L., Bloom, A., Bowman, K., Jeong, S., Fischer, M. (2016). Gridded National Inventory of U.S. Methane Emissions. *Environmental Science & Technology*, 50(23), 13123-13133. https://doi.org/10.1021/acs.est.6b02878
## Learn More
- - Learn more about how this data helps identify trends in U.S. methane emissions in the U.S. Gridded Anthropogenic Greenhouse Gas Emissions Data Insight
+ - Learn more about how this data helps identify trends in U.S. methane emissions in the U.S. Gridded Anthropogenic Greenhouse Gas Emissions Story
- Check out other GHG data [from the EPA](https://www.epa.gov/ghgemissions)
- Check out the [data interpretation notes](https://drive.google.com/file/d/1_c6SrKr4z2SNs4fCy3QQMlX92G09Yf6R/view?usp=drive_link) for more information when viewing this dataset in the US GHG Center Exploration environment
diff --git a/datasets/goes-ch4plume-v1.data.mdx b/datasets/goes-ch4plume-v1.data.mdx
new file mode 100644
index 000000000..17a1a5477
--- /dev/null
+++ b/datasets/goes-ch4plume-v1.data.mdx
@@ -0,0 +1,165 @@
+---
+id: goes-ch4plume-v1
+name: Geostationary Satellite Observations of Extreme and Transient Methane Emissions from Oil and Gas Infrastructure
+description: A sample of methane plumes from point sources observed since 2019 by the U.S. Geostationary Operational Environmental Satellites (GOES) over North and South America
+usage:
+ - url: 'https://us-ghg-center.github.io/ghgc-docs/cog_transformation/goes-ch4plume-v1.html'
+ label: Notebook showing data transformation to COG for ingest to the US GHG Center
+ title: 'Data Transformation Notebook'
+ - url: 'https://us-ghg-center.github.io/ghgc-docs/user_data_notebooks/goes-ch4plume-v1_User_Notebook.html'
+ label: Notebooks to read, visualize, and explore data statistics
+ title: 'Data Usage Notebooks'
+ - url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fgoes-ch4plume-v1_User_Notebook.ipynb&branch=main'
+ label: Run example notebook
+ title: Interactive Session in the US GHG Center JupyterHub (requires account)
+ - url: https://data.ghg.center/browseui/#goes-ch4plume-v1/
+ label: Browse and download the data
+ title: Data Browser
+media:
+ src: ::file ./media/goes-ch4plume--cover.png
+ alt: colorful area expands over time showing increase in size of methane plume
+ author:
+ name: Daniel J. Varon
+ url: https://www.star.nesdis.noaa.gov/star/news_20240207_methane.php
+taxonomy:
+ - name: Topics
+ values:
+ - Large Emission Events
+ - Methane
+ - name: Source
+ values:
+ - NOAA
+ - Harvard University
+ - name: Gas
+ values:
+ - CH₄
+ - name: Product Type
+ values:
+ - Satellite Observations
+disableExplore: true
+layers:
+ - id: ch4-plume-emissions
+ stacCol: goes-ch4plume-v1
+ name: CH₄ Point Source Plume Complexes
+ type: raster
+ description: Methane point source plume complex extents with methane enhancements
+ initialDatetime: newest
+ analysis:
+ exclude: true
+ zoomExtent:
+ - 8
+ - 20
+ sourceParams:
+ resampling: bilinear
+ bidx: 1
+ assets: ch4-plume-emissions
+ colormap_name: plasma
+ rescale:
+ - 0
+ - 0.4
+ nodata: -9999
+ compare:
+ datasetId: goes-ch4plume-v1
+ layerId: ch4-plume-emissions
+ mapLabel: |
+ ::js ({ dateFns, datetime, compareDatetime }) => {
+ if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+ }
+ legend:
+ unit:
+ label: ppm-m
+ type: gradient
+ min: 0
+ max: 0.4
+ stops:
+ - '#310597'
+ - '#4c02a1'
+ - '#6600a7'
+ - '#7e03a8'
+ - '#9511a1'
+ - '#aa2395'
+ - '#bc3587'
+ - '#cc4778'
+ - '#da5a6a'
+ - '#e66c5c'
+ - '#f0804e'
+ - '#f89540'
+ - '#fdac33'
+ - '#fdc527'
+ - '#f8df25'
+---
+
+
+
+ **Temporal Extent:** April 7, 2019 - July 26, 2023
+ **Temporal Resolution:** 5 minutes
+ **Spatial Extent:** North and South America
+ **Spatial Resolution:** 1 km x 1 km (nadir)
+ **Data Units:** Total column methane enhancement above background, moles of methane per square meter (mol CH₄/m²)
+ **Data Type:** Research
+ **Data Latency:** Updated annually
+
+ Methane is a relatively short-lived greenhouse gas responsible for about one third of greenhouse gas radiative forcing since pre-industrial times ([IPCC AR6, 2021](https://doi.org/10.1017/9781009157896)), making the reduction of atmospheric methane emissions an opportunity to slow near-term temperature rise. Satellites with instruments sensitive to methane have unique capabilities to pinpoint methane sources and potentially inform mitigation efforts. However, almost all of the instruments are in low Earth orbit and can only image an area of interest as frequently as once per day, at best. This dataset, in contrast, is from a geostationary satellite, which is able to capture imagery for the same location as often as every 5 minutes. Since geostationary satellites are positioned farther away from the Earth’s surface, they are only able to detect very large methane emission events, but provide the unique opportunity to track the full evolution of a methane release.
+
+ Presented in the GHG Center is a collection of large methane release events detected by the U.S. Geostationary Operational Environmental Satellite 16 (GOES-16), starting in April 2019. Included are the methane plumes highlighted in [Watine-Guiu et al. 2023](https://doi.org/10.1073/pnas.2310797120), including releases originating from three different block valve stations during April-May 2019 along the El Encino La Laguna natural gas pipeline in Durango, Mexico, as well as several other detections across North America. Additional plumes will continue to be added as data becomes available. This data demonstrates the unique value of geostationary satellite instruments for detecting extreme and short-lived methane emission events, quantifying emissions from variable point sources, and precisely determining source locations.
+
+
+
+
+
+
+
+
+
+
+ ## Source Data Product Citation
+ Watine-Guiu, M., Varon, D. J., Irakulis-Loitxate, I., Balausus, N. & Jacob, D. J. (2023). Replication Data for: Geostationary satellite observations of extreme and transient methane emissions from oil and gas infrastructure, V2, Harvard Dataverse. [https://doi.org/10.7910/DVN/EQWHCG](https://doi.org/10.7910/DVN/EQWHCG)
+
+ ## Version History
+ This data product (v1) was added to the US GHG Center data catalog in December 2024.
+
+ ## Dataset Accuracy
+ Precision of the retrieved methane column enhancements is approximately 10%; the GOES-ABI detection limit is estimated at 10-100 t/h [Watine-Guiu et al., 2023](https://doi.org/10.1073/pnas.2310797120).
+
+ ## Disclaimer
+ This dataset has been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) for display in the US GHG Center. Careful quality checks are used to ensure data transformation has been performed correctly.
+
+ This dataset is experimental and subject to change. An operational GOES-ABI methane capability is under development.
+
+ ## Scientific Details
+ Methane plumes are derived from top of atmosphere [Level 1B GOES radiance data](https://noaa-goes16.s3.amazonaws.com/index.html#ABI-L1b-RadC/). GOES provides continuous 5–10-minute coverage of the Americas at 0.5–2 km nadir pixel resolution in 16 spectral bands. Shortwave infrared bands, SWIR band 5 (~1590-1630 nm) and 6 (~2220-2270 nm), which have respective nadir pixel resolutions of 1 km and 2 km, are used to track the full evolution of an extreme methane release. The multi band multi pass (MBMP) methane retrieval of [Varon et al. (2021)](https://doi.org/10.5194/amt-14-2771-2021) was adapted to infer methane column enhancements (mol/m²) from normalized reflectance differences between GOES bands 5 and 6 on different 5 minute scans.
+
+ ## Key Publications
+ Watine-Guiu, M., Varon, D. J., Irakulis-Loitxate, I., Balasus, N., & Jacob, D. J. Geostationary satellite observations of extreme and transient methane emissions from oil and gas infrastructure (2023). *Proceedings of the National Academy of Sciences, 120*(52), e2310797120. [https://doi.org/10.1073/pnas.2310797120](https://doi.org/10.1073/pnas.2310797120)
+
+ ## Other Relevant Publications
+ Varon, D. J., Jervis, D., McKeever, J., Spence, I., Gains, D., & Jacob, D. J. (2021). High-frequency monitoring of anomalous methane point sources with multispectral sentinel-2 satellite observations. *Atmospheric Measurement Techniques, 14*(4), 2771–2785. [https://doi.org/10.5194/amt-14-2771-2021](https://doi.org/10.5194/amt-14-2771-2021)
+
+ Varon, D. J., Jacob, D. J., McKeever, J., Jervis, D., Durak, B. O. A., Xia, Y., & Huang, Y. (2018). Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes. *Atmospheric Measurement Techniques, 11*(10), 5673–5686. [https://doi.org/10.5194/amt-11-5673-2018](https://doi.org/10.5194/amt-11-5673-2018)
+
+ Schmit, T. J., Griffith, P., Gunshor, M. M., Daniels, J. M., Goodman, S. J., & Lebair, W. J. (2017). A Closer Look at the ABI on the GOES-R Series. *Bulletin of the American Meteorological Society, 98*(4), 681–698. [https://doi.org/10.1175/BAMS-D-15-00230.1](https://doi.org/10.1175/BAMS-D-15-00230.1)
+
+ Jacob, D. J., Varon, D. J., Cusworth, D. H., Dennison, P. E., Frankenberg, C., Gautam, R., Guanter, L., Kelley, J., McKeever, J., Ott, L. E., Poulter, B., Qu, Z., Thorpe, A. K., Worden, J. R., & Duren, R. M. (2022). Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane. *Atmospheric Chemistry and Physics, 22*(14), 9617–9646. [https://doi.org/10.5194/acp-22-9617-2022](https://doi.org/10.5194/acp-22-9617-2022)
+
+ Jacob, D. J., Turner, A. J., Maasakkers, J. D., Sheng, J., Sun, K., Liu, X., Chance, K., Aben, I., McKeever, J., & Frankenberg, C. (2016). Satellite observations of atmospheric methane and their value for quantifying methane emissions. *Atmospheric Chemistry and Physics, 16*(22), 14371–14396. [https://doi.org/10.5194/acp-16-14371-2016](https://doi.org/10.5194/acp-16-14371-2016)
+
+ ## Learn More
+ - Learn more about how NOAA’s GOES Satellites Can Provide Quicker Detection of Large Methane Emissions
+ - See the news announcement for this dataset from the [NOAA NESDIS STAR](https://www.star.nesdis.noaa.gov/star/news_20240207_methane.php)
+
+ ## Acknowledgment
+ This work was funded by the NASA Carbon Monitoring System and supported by the International Methane Emissions Observatory of the United Nations Environment Programme.
+
+ ## License
+ [Creative Commons Attribution 1.0 International](https://creativecommons.org/licenses/by/1.0/legalcode) (CC BY 1.0)
+
+ ## Data Stewardship
+ - [Data Workflow](https://us-ghg-center.github.io/ghgc-docs/data_workflow/goes-ch4plume-v1_Data_Flow.html)
+ - [Data Transformation Code](https://us-ghg-center.github.io/ghgc-docs/cog_transformation/goes-ch4plume-v1.html)
+ - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/goes-ch4plume-v1_Processing%20and%20Verification%20Report.html)
+
+
+
diff --git a/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx b/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
index fda768b50..6bd1a6d9a 100644
--- a/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
+++ b/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
@@ -1,7 +1,7 @@
---
id: gosat-based-ch4budget-yeargrid-v1
name: GOSAT-based Top-down Total and Natural Methane Emissions
-description: Total and natural methane emissions derived using the GEOS-Chem global chemistry transport model with inclusion of GOSAT data. Methane emission values for both before and after adding GOSAT to the model are mapped to a 1° resolution grid. Version 1.0 contains data only for 2019
+description: Total and wetland yearly methane emissions derived using the GEOS-Chem global chemistry transport model with inclusion of GOSAT data for 2010 to 2022 on a 4 x 5 degree (lat/lon) grid
usage:
- url: 'https://us-ghg-center.github.io/ghgc-docs/cog_transformation/gosat-based-ch4budget-yeargrid-v1.html'
label: Notebook showing data transformation to COG for ingest to the US GHG Center
@@ -12,9 +12,10 @@ usage:
- url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fgosat-based-ch4budget-yeargrid-v1_User_Notebook.ipynb&branch=main'
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#gosat-based-ch4budget-yeargrid-v1/
+ - url: https://data.ghg.center/browseui/index.html#gosat-based-ch4budget-yeargrid-v1/
label: Browse and download the data
title: Data Browser
+
media:
src: ::file ./media/oco2-mip-ch4budget-yeargrid-v1--cover.jpg
alt: Dried/Burned trees
@@ -25,6 +26,7 @@ taxonomy:
- name: Topics
values:
- Natural Emissions and Sinks
+ - Methane
- name: Source
values:
- NASA
@@ -36,74 +38,19 @@ taxonomy:
- Model Output
infoDescription: |
::markdown
- - Temporal Extent: 2019
+ - Temporal Extent: 2010 - 2022
- Temporal Resolution: Annual
- Spatial Extent: Global
- - Spatial Resolution: 1° x 1°
- - Data Units: Teragrams of methane per year (Tg CH₄/yr)
+ - Spatial Resolution: 4°(latitude) x 5°(longitude)
+ - Data Units: Teragrams of methane per year (Tg CH₄/year)
- Data Type: Research
- Data Latency: Updated yearly
layers:
- - id: prior-total-id
+ - id: post-total
stacCol: gosat-based-ch4budget-yeargrid-v1
- name: Priori Total
+ name: Satellite-Corrected Total Methane Emissions
type: raster
- description: Total methane emissions per grid cell derived from the GEOS-Chem global chemistry transport model
- initialDatetime: newest
- projection:
- id: 'equirectangular'
- basemapId: 'light'
- zoomExtent:
- - 0
- - 20
- sourceParams:
- assets: prior-total
- colormap_name: spectral_r
- rescale:
- - 0
- - 0.3
- compare:
- datasetId: gosat-based-ch4budget-yeargrid-v1
- layerId: prior-total-id
- mapLabel: |
- ::js ({ dateFns, datetime, compareDatetime }) => {
- if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
- }
- legend:
- unit:
- label: Tg CH₄/yr
- type: gradient
- min: 0
- max: 0.3
- stops:
- - '#5e4fa2'
- - '#388eba'
- - '#75c8a5'
- - '#bfe5a0'
- - '#f1f9a9'
- - '#feeea2'
- - '#fdbf6f'
- - '#f67b4a'
- - '#d8434e'
- - '#9e0142'
- analysis:
- metrics:
- - mean
- sourceParams:
- dst_crs: "+proj=cea"
- info:
- source: NASA
- spatialExtent: Global
- temporalResolution: Annual
- unit: Tg CH₄/yr
- media:
- src: ::file ./media/gosat-based-ch4budget-yeargrid-v1.thumbnails.priori.total.png
- alt: GOSAT-based Top-down Total and Natural Methane Emissions - Priori Total
- - id: post-total-id
- stacCol: gosat-based-ch4budget-yeargrid-v1
- name: Posterior Total
- type: raster
- description: Total methane emissions per grid cell derived using GOSAT data in the GEOS-Chem global chemistry transport model
+ description: Total methane emissions per grid cell derived using GOSAT data in the GEOS-Chem global chemistry transport model (posterior).
initialDatetime: newest
projection:
id: 'equirectangular'
@@ -116,20 +63,20 @@ layers:
colormap_name: spectral_r
rescale:
- 0
- - 0.3
+ - 3
compare:
datasetId: gosat-based-ch4budget-yeargrid-v1
- layerId: post-total-id
+ layerId: post-total
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
}
legend:
unit:
- label: Tg CH₄/yr
+ label: Tg CH₄/year
type: gradient
min: 0
- max: 0.3
+ max: 3
stops:
- '#5e4fa2'
- '#388eba'
@@ -154,66 +101,11 @@ layers:
media:
src: ::file ./media/gosat-based-ch4budget-yeargrid-v1.thumbnails.posterior.total.png
alt: GOSAT-based Top-down Total and Natural Methane Emissions - Posterior Total
- - id: prior-wetland-id
- stacCol: gosat-based-ch4budget-yeargrid-v1
- name: Priori Wetlands
- type: raster
- description: Total wetland methane emissions per grid cell derived from the GEOS-Chem global chemistry transport model
- initialDatetime: newest
- projection:
- id: 'equirectangular'
- basemapId: 'light'
- zoomExtent:
- - 0
- - 20
- sourceParams:
- assets: prior-wetland
- colormap_name: spectral_r
- rescale:
- - 0
- - 0.10
- compare:
- datasetId: gosat-based-ch4budget-yeargrid-v1
- layerId: post-total-id
- mapLabel: |
- ::js ({ dateFns, datetime, compareDatetime }) => {
- if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
- }
- legend:
- unit:
- label: Tg CH₄/yr
- type: gradient
- min: 0
- max: 0.10
- stops:
- - '#5e4fa2'
- - '#388eba'
- - '#75c8a5'
- - '#bfe5a0'
- - '#f1f9a9'
- - '#feeea2'
- - '#fdbf6f'
- - '#f67b4a'
- - '#d8434e'
- - '#9e0142'
- analysis:
- metrics:
- - mean
- sourceParams:
- dst_crs: "+proj=cea"
- info:
- source: NASA
- spatialExtent: Global
- temporalResolution: Annual
- unit: Tg CH₄/yr
- media:
- src: ::file ./media/gosat-based-ch4budget-yeargrid-v1.thumbnails.priori.wetlands.png
- alt: GOSAT-based Top-down Total and Natural Methane Emissions - Priori Wetlands
- - id: post-wetland-id
+ - id: post-wetland
stacCol: gosat-based-ch4budget-yeargrid-v1
- name: Posterior Wetlands
+ name: Satellite-Corrected Wetland Methane Emissions
type: raster
- description: Total wetland methane emissions per grid cell derived using GOSAT data in the GEOS-Chem global chemistry transport model
+ description: Total wetland methane emissions per grid cell derived using GOSAT data in the GEOS-Chem global chemistry transport model (posterior).
initialDatetime: newest
projection:
id: 'equirectangular'
@@ -226,20 +118,20 @@ layers:
colormap_name: spectral_r
rescale:
- 0
- - 0.10
+ - 1
compare:
datasetId: gosat-based-ch4budget-yeargrid-v1
- layerId: post-total-id
+ layerId: post-wetland
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
}
legend:
unit:
- label: Tg CH₄/yr
+ label: Tg CH₄/year
type: gradient
min: 0
- max: 0.10
+ max: 1
stops:
- '#5e4fa2'
- '#388eba'
@@ -263,157 +155,55 @@ layers:
unit: Tg CH₄/yr
media:
src: ::file ./media/gosat-based-ch4budget-yeargrid-v1.thumbnails.posterior.wetlands.png
- alt: GOSAT-based Top-down Total and Natural Methane Emissions - Posterior Wetlands
- - id: prior-wetland-uncertainty-id
- stacCol: gosat-based-ch4budget-yeargrid-v1
- name: Priori Wetlands Uncertainty
- type: raster
- description: Model uncertainty for wetland emissions
- initialDatetime: newest
- projection:
- id: 'equirectangular'
- basemapId: 'light'
- zoomExtent:
- - 0
- - 20
- sourceParams:
- assets: prior-wetland-uncertainty
- colormap_name: purd
- rescale:
- - 0
- - 0.05
- compare:
- datasetId: gosat-based-ch4budget-yeargrid-v1
- layerId: prior-wetland-uncertainty-id
- mapLabel: |
- ::js ({ dateFns, datetime, compareDatetime }) => {
- if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
- }
- legend:
- unit:
- label: Tg CH₄/yr
- type: gradient
- min: 0
- max: 0.05
- stops:
- - '#F7F4F9'
- - '#E9E3F0'
- - '#D9C3DF'
- - '#CDA0CD'
- - '#D57ABA'
- - '#E34A9F'
- - '#DF2179'
- - '#C10E51'
- - '#92003F'
- - '#67001F'
- analysis:
- metrics:
- - mean
- sourceParams:
- dst_crs: "+proj=cea"
- info:
- source: NASA
- spatialExtent: Global
- temporalResolution: Annual
- unit: Tg CH₄/yr
- media:
- src: ::file ./media/gosat-based-ch4budget-yeargrid-v1.thumbnails.priori.wetlands.uncertainty.png
- alt: GOSAT-based Top-down Total and Natural Methane Emissions - Priori Wetlands Uncertainty
- - id: post-wetland-uncertainty-id
- stacCol: gosat-based-ch4budget-yeargrid-v1
- name: Posterior Wetlands Uncertainty
- type: raster
- description: Model uncertainty for wetland emissions when GOSAT data included in model
- initialDatetime: newest
- projection:
- id: 'equirectangular'
- basemapId: 'light'
- zoomExtent:
- - 0
- - 20
- sourceParams:
- assets: post-wetland-uncertainty
- colormap_name: purd
- rescale:
- - 0
- - 0.05
- compare:
- datasetId: gosat-based-ch4budget-yeargrid-v1
- layerId: post-wetland-uncertainty-id
- mapLabel: |
- ::js ({ dateFns, datetime, compareDatetime }) => {
- if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
- }
- legend:
- unit:
- label: Tg CH₄/yr
- type: gradient
- min: 0
- max: 0.05
- stops:
- - '#F7F4F9'
- - '#E9E3F0'
- - '#D9C3DF'
- - '#CDA0CD'
- - '#D57ABA'
- - '#E34A9F'
- - '#DF2179'
- - '#C10E51'
- - '#92003F'
- - '#67001F'
- analysis:
- metrics:
- - mean
- sourceParams:
- dst_crs: "+proj=cea"
- info:
- source: NASA
- spatialExtent: Global
- temporalResolution: Annual
- unit: Tg CH₄/yr
- media:
- src: ::file ./media/gosat-based-ch4budget-yeargrid-v1.thumbnails.posterior.wetlands.uncertainty.png
- alt: GOSAT-based Top-down Total and Natural Methane Emissions - Posterior Wetlands Uncertainty
-
+ alt: GOSAT-based Top-down Total and Natural Methane Emissions - Posterior Wetlands
---
- **Temporal Extent:** 2019
+ **Temporal Extent:** 2010 - 2022
**Temporal Resolution:** Annual
**Spatial Extent:** Global
- **Spatial Resolution:** 1° x 1°
- **Data Units:** Teragrams of methane per year (Tg CH₄/yr)
+ **Spatial Resolution:** 4°(latitude) x 5°(longitude)
+ **Data Units:** Teragrams of methane per year (Tg CH₄/year)
**Data Type:** Research
**Data Latency:** Updated yearly
- As part of the global stock take (GST), countries are asked to provide a record of their greenhouse gas emissions to inform decisions on how to reduce GHG emissions. The NASA Carbon Monitoring System Flux (CMS-Flux) team has used remote sensing observations from Japan’s Greenhouse gases Observing SATellite (GOSAT) to produce modeled total methane (CH₄) emissions and uncertainties on a 1 degree by 1 degree resolution grid for the year 2019. The GOSAT data is used in the model to inform total emission estimates, as well as wetland (the primary natural source of methane), and various human-related sources such as fossil fuel extraction, transport, agriculture, waste, and fires. An advanced mathematical approach is used with a global chemistry transport model to quantify annual CH₄ emissions and uncertainties. These estimates are expressed in teragrams of CH₄ per year (Tg/yr). Only the total and wetlands model-derived emissions are included in the US GHG Center. The source dataset contains emissions data for all other anthropogenic sources.
+ As part of the global stock take (GST), countries are asked to provide a record of their greenhouse gas emissions to inform decisions on how to reduce GHG emissions. The NASA Carbon Monitoring System Flux (CMS-Flux) team has used remote sensing observations from Japan’s Greenhouse gases Observing SATellite (GOSAT) to produce modeled total methane (CH₄) emissions and uncertainties on a 4 degree (latitude) by 5 degree (longitude) resolution grid for the years 2010 - 2022. The GOSAT data is used in the model to inform total emission estimates, as well as wetland (the primary natural source of methane). These estimates are expressed in teragrams of CH₄ per year (Tg/year). Only the total and wetlands model-derived emissions are included in the US GHG Center. The source dataset contains emissions data for all other anthropogenic sources.
## Source Data Product Citation
- Worden, J. (2022). The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration of GOSAT total column methane data and a priori inventory estimates. [https://doi.org/10.5281/zenodo.8306874](https://doi.org/10.5281/zenodo.8306874)
+ Qu, Z. Jacob, D. J., Bloom, A. A., Worden, J., Parker, R. J. & Boesch, H. (2024). Global (4°x5°) top-down methane emissions and OH fields constrained by GOSAT methane observations, Harvard Dataverse, V1. [https://doi.org/10.7910/DVN/GQ02CC](https://doi.org/10.7910/DVN/GQ02CC)
+
+ ## Version History
+ This data product (v1) was updated in the US GHG Center in December 2024. Updates include:
+ - Data added for 2010 - 2022 (previously, data was only provided for 2019)
+ - Change in spatial resolution from 1° x 1° to 4° (latitude) x 5°(longitude)
+ - Removal of uncertainty and priori data layers (priori model-estimated methane emissions for wetlands remains accessible via the [US GHG Center STAC Catalog](https://radiantearth.github.io/stac-browser/#/external/earth.gov/ghgcenter/api/stac/?.language=en))
+ - Updated layer names and descriptions
## Dataset Accuracy
- Data accuracy is determined by understanding the uncertainties in the model emissions. Bottom-up uncertainties are generally calculated by comparing how emissions attributions to each sector differ across studies, by comparing emission models and remote sensing data, and using expert opinion when uncertainties are especially challenging to estimate. Recent studies show that there could be larger than expected emissions from aquatic and fossil fuel sources. This means that current methane budgets estimated from both bottom-up and top-down models are either inaccurate in their allocations to existing sectors or that the atmospheric methane removal mechanisms (sinks) are not fully understood. For top-down uncertainties, recent studies also show that there can be considerable errors in the models used by remote sensing instruments to relate measurements to concentrations. Model transport errors can add additional uncertainty when inverting concentrations to fluxes. The flux inversion used for this top-down dataset reduces the impact of variability in the hydroxyl radical (OH), the main driver of methane removal, on methane emissions by jointly estimating OH and CH₄ emissions. A latitudinal correction is used to reduce the impacts of stratospheric chemistry and transport errors. Other systematic errors in model transport and chemistry were not characterized but it is not expected that these errors are significant. Additionally, the Bayesian approach used for this dataset enables the quantification of smoothing error, which can be a significant contributor to emission uncertainty, and reduces the potential for introducing additional uncertainty and biases when fluxes are projected back to emissions. Note that uncertainties are only appropriate at the 1-degree grid cell resolution.
+ Data accuracy is determined by understanding the uncertainties in the model emissions. Bottom-up uncertainties are generally calculated by comparing how emissions attributions to each sector differ across studies, by comparing emission models and remote sensing data, and using expert opinion when uncertainties are especially challenging to estimate. Recent studies show that there could be larger than expected emissions from aquatic and fossil fuel sources. This means that current methane budgets estimated from both bottom-up and top-down models are either inaccurate in their allocations to existing sectors or that the atmospheric methane removal mechanisms (sinks) are not fully understood.
+
+ For top-down uncertainties, recent studies also show that there can be considerable errors in the models used by remote sensing instruments to relate measurements to concentrations. Model transport errors can add additional uncertainty when inverting concentrations to fluxes. The flux inversion used for this top-down dataset reduces the impact of variability in the hydroxyl radical (OH), the main driver of methane removal, on methane emissions by jointly estimating OH and CH₄ emissions. A latitudinal correction is used to reduce the impacts of stratospheric chemistry and transport errors. Other systematic errors in model transport and chemistry were not characterized but it is not expected that these errors are significant. Additionally, the Bayesian approach used for this dataset enables the quantification of smoothing error, which can be a significant contributor to emission uncertainty, and reduces the potential for introducing additional uncertainty and biases when fluxes are projected back to emissions.
## Disclaimer
This dataset has been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) for display in the US GHG Center. Careful quality checks are used to ensure data transformation has been performed correctly.
- The [source dataset](https://ceos.org/gst/methane.html) contains CH₄ emissions layers for various anthropogenic sources that are not presented in the US GHG Center. The [original source data](https://ceos.org/gst/methane.html) also contains a .csv text format file with CH₄ emissions listed by country. Note that uncertainties are only appropriate for use at the grid cell (i.e. 1 degree) resolution. Care must be taken when using or interpreting this data.
+ The [original source dataset](https://ceos.org/gst/methane.html) contains CH₄ emissions layers for various anthropogenic sources that are not presented in the US GHG Center. The [original source data](https://ceos.org/gst/methane.html) also contains a .csv text format file with CH₄ emissions listed by country. Note that uncertainties are only appropriate for use at the grid cell (i.e. 1 degree) resolution. Care must be taken when using or interpreting this data.
## Scientific Details
- A study was conducted to show how satellite methane observations could be used to evaluate reported methane emissions. In a bottom-up approach, methane emissions from activity reports were projected through the GEOS-Chem global chemistry transport model to obtain the expected atmospheric concentrations. In a top-down approach, observed atmospheric methane concentrations from the GOSAT satellite are compared with those modeled from reports. An analytic Bayesian inversion approach is used to determine the methane flux on a 2 x 2.5 degree grid based on the differences between the two concentrations (bottom-up vs top-down). Analytic Jacobian matrices relating emissions to concentrations are derived from the GEOS-Chem model and used to calculate the prior and posterior flux error covariance. Methane fluxes are then linearly projected to emissions by sector at 1 degree resolution. The derivation used to project top-down fluxes back to emissions by region is described in [Cusworth et al. (2021)](https://doi.org/10.1038/s43247-021-00312-6). This GOSAT-based Top-down CH₄ Emissions dataset includes the total prior and posterior CH₄ emissions, wetland prior and posterior CH₄ emissions and associated uncertainties. More information is located in the [source dataset document](https://zenodo.org/record/8306874).
+ These wetland and anthropogenic fluxes, derived using atmospheric concentration data from the GOSAT model, demonstrate that wetlands are a primary driver of atmospheric methane increases from 2010 through 2022. In particular, substantial growth of both (wetland emissions and atmospheric methane) during 2019 and 2020, occurred as a result of increased inundation of African wetlands. Anthropogenic emissions also play a role in increasing atmospheric methane with these data pointing towards livestock emissions a likely driver. These results are published in [Qu et al. 2024](https://doi.org/10.1073/pnas.2402730121).
## Key Publications
+ Qu, Z., Jacob, D. J., Bloom, A. A., Worden, J. R., Parker, R. J., & Boesch, H. (2024). Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge. *Proceedings of the National Academy of Sciences, 121*(40), e2402730121. [https://doi.org/10.1073/pnas.2402730121](https://doi.org/10.1073/pnas.2402730121)
+
Worden, J. R., Cusworth, D. H., Qu, Z., Yin, Y., Zhang, Y., Bloom, A. A., Ma, S., Byrne, B. K., Scarpelli, T., Maasakkers, J. D., Crisp, D., Duren, R., and Jacob, D. J. (2022). The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates. *Atmos. Chem. Phys*., 22, 6811–6841. [https://doi.org/10.5194/acp-22-6811-2022](https://doi.org/10.5194/acp-22-6811-2022)
## Other Relevant Publications
Cusworth, D. H., Bloom, A. A., Ma, S., Miller, C. E., Bowman, K., Yin, Y., Maasakkers, J. D., Zhang, Y., Scarpelli, T. R., Qu, Z., Jacob, D. J., & Worden, J. R. (2021). A Bayesian framework for deriving sector-based methane emissions from top-down fluxes. *Communications Earth & Environment, 2*, 242. [https://doi.org/10.1038/s43247-021-00312-6](https://doi.org/10.1038/s43247-021-00312-6)
- Jet Propulsion Laboratory California Institute of Technology (n.d.). *2019 Methane Budget and Uncertainties Data ReadMe. CMS-Flux*. [https://cmsflux.jpl.nasa.gov/data/ReadMe.pdf](https://cmsflux.jpl.nasa.gov/data/ReadMe.pdf)
-
Maasakkers, J. D., Jacob, D. J., Sulprizio, M. P., Scarpelli, T. R., Nesser, H., Sheng, J., Zhang, Y., Lu, X., Bloom, A. A., Bowman, K. W., Worden, J. R., & Parker, R. J. (2021). 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane. *Atmos. Chem. Phys., 21*, 4339–4356. [https://doi.org/10.5194/acp-21-4339-2021](https://doi.org/10.5194/acp-21-4339-2021)
Qu, Z., Jacob, D. J., Shen, L., Lu, X., Zhang, Y., Scarpelli, T. R., Nesser, H., Sulprizio, M. P., Maasakkers, J. D., Bloom, A. A., Worden, J. R., Parker, R. J., & Delgado, A. L. (2021). Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments. *Atmos. Chem. Phys., 21*, 14159–14175. [https://doi.org/10.5194/acp-21-14159-2021](https://doi.org/10.5194/acp-21-14159-2021)
@@ -423,8 +213,8 @@ layers:
Zhang, Y., Jacob, D. J., Lu, X., Maasakkers, J. D., Scarpelli, T. R., Sheng, J.-X., Shen, L., Qu, Z., Sulprizio, M. P., Chang, J., Bloom, A. A., Ma, S., Worden, J., Parker, R. J., and Boesch, H. (2021). Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations. *Atmos. Chem. Phys., 21*, 3643–3666. [https://doi.org/10.5194/acp-21-3643-2021](https://doi.org/10.5194/acp-21-3643-2021)
## Learn More
- - Learn more about this dataset on the [CEOS website](https://ceos.org/gst/methane.html)
- - Learn more about how ground based measurements, satellite measurements and models are used to estimate methane emissions from human-caused and natural sources such as wetlands in the Tracking Greenhouse Gas Cycles Data Insight
+ - Check out this dataset mentioned in the Models and Observations Combine to Uncover Drivers of Natural Methane Emissions story
+ - Learn more about how ground based measurements, satellite measurements and models are used to estimate methane emissions from human-caused and natural sources such as wetlands in the Tracking Greenhouse Gas Cycles story
## Acknowledgment
Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. This research was motivated by Committee on Earth Observation Satellites (CEOS) activities related to quantifying greenhouse gas emissions. This research was supported by funding from NASA's Carbon Monitoring System (CMS) and National Institute of Advanced Industrial Science and Technology (AIST) programs. Additional funding from the National Natural Science Foundation of China (NSFC) was also provided.
diff --git a/datasets/gra2pes-co2-monthgrid-v1.data.mdx b/datasets/gra2pes-co2-monthgrid-v1.data.mdx
index cae14dc3f..93bf90d1e 100644
--- a/datasets/gra2pes-co2-monthgrid-v1.data.mdx
+++ b/datasets/gra2pes-co2-monthgrid-v1.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: "https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fgra2pes-ghg-monthgrid-v1_User_Notebook.ipynb&branch=main"
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#gra2pes-ghg-monthgrid-v1/
+ - url: https://data.ghg.center/browseui/index.html#gra2pes-ghg-monthgrid-v1/
label: Browse and download the data
title: Data Browser
media:
@@ -100,7 +100,7 @@ layers:
dst_crs: "+proj=cea"
info:
source: NASA
- spatialExtent: Global
+ spatialExtent: Contiguous United States
temporalResolution: Monthly
unit: tonne CO₂/km²/month
media:
@@ -155,7 +155,7 @@ layers:
dst_crs: "+proj=cea"
info:
source: NASA
- spatialExtent: Global
+ spatialExtent: Contiguous United States
temporalResolution: Monthly
unit: tonne CO/km²/month
media:
@@ -206,7 +206,7 @@ layers:
dst_crs: "+proj=cea"
info:
source: NASA
- spatialExtent: Global
+ spatialExtent: Contiguous United States
temporalResolution: Monthly
unit: tonne NOₓ/km²/month
media:
@@ -257,7 +257,7 @@ layers:
dst_crs: "+proj=cea"
info:
source: NASA
- spatialExtent: Global
+ spatialExtent: Contiguous United States
temporalResolution: Monthly
unit: tonne SO₂/km²/month
media:
@@ -308,7 +308,7 @@ layers:
dst_crs: "+proj=cea"
info:
source: NASA
- spatialExtent: Global
+ spatialExtent: Contiguous United States
temporalResolution: Monthly
unit: PM2.5/km²/month
media:
diff --git a/datasets/influx-testbed-co2-and-ch4-concentrations.data.mdx b/datasets/influx-testbed-co2-and-ch4-concentrations.data.mdx
index 9b6951d9e..e86510b90 100644
--- a/datasets/influx-testbed-co2-and-ch4-concentrations.data.mdx
+++ b/datasets/influx-testbed-co2-and-ch4-concentrations.data.mdx
@@ -25,6 +25,7 @@ taxonomy:
- name: Topics
values:
- GHG Concentrations
+ - Methane
- Urban
- name: Source
values:
diff --git a/datasets/lam-testbed-co2-and-ch4-concentrations.data.mdx b/datasets/lam-testbed-co2-and-ch4-concentrations.data.mdx
index 458c82966..5332ccdcd 100644
--- a/datasets/lam-testbed-co2-and-ch4-concentrations.data.mdx
+++ b/datasets/lam-testbed-co2-and-ch4-concentrations.data.mdx
@@ -25,6 +25,7 @@ taxonomy:
- name: Topics
values:
- GHG Concentrations
+ - Methane
- Urban
- name: Source
values:
diff --git a/datasets/lpjeosim-wetlandch4-grid-v1.data.mdx b/datasets/lpjeosim-wetlandch4-grid-v1.data.mdx
index 9e2feba14..39c435955 100644
--- a/datasets/lpjeosim-wetlandch4-grid-v1.data.mdx
+++ b/datasets/lpjeosim-wetlandch4-grid-v1.data.mdx
@@ -22,6 +22,7 @@ taxonomy:
- name: Topics
values:
- Natural Emissions and Sinks
+ - Methane
- name: Source
values:
- NASA
@@ -323,6 +324,10 @@ layers:
+
+ Notice:
+ See Version History below for major update affecting data between July 1, 2024 and November 14, 2024. If data within this range was previously used, re-accessing the data is advised.
+
**Temporal extent:** January 1, 1990 - ongoing
**Temporal resolution:** Daily and Monthly
**Spatial extent:** Global
@@ -351,6 +356,9 @@ layers:
Colligan, T., Poulter, B., Quinn, C. (2024). LPJ-EOSIM L2 Global Simulated Monthly Wetland Methane Flux Low Latency V001 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed from [https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001)
## Version History
+ Notice: Due to ERA5 driver issues, the LPJ-EOSIM ERA5 and ensemble mean estimates of wetland methane were updated on November 14, 2024. Affected data covered July 1, 2024 to November 14, 2024. If data in this range were previously used, we recommend re-downloading /re-accessing the data.
+
+
The current dataset version is LPJ-EOSIM v1, which replaced LPJ-wsl v1 in the US GHG Center in April 2024. Summary of version update changes:
- Model updates and improvements, including improved data latency with more regular updates and driver-specific model recalibration
- Addition of two new data layers: LPJ-EOSIM model estimated wetland methane emissions using ERA5 climate input forcing data, and using the mean of both MERRA-2 and ERA5 climate input forcing data (mean ensemble). The LPJ-wsl dataset only provided estimates using MERRA-2 climate input forcing data until the end of 2021.
@@ -387,6 +395,7 @@ layers:
## Learn More
- See a video of methane emissions from wetlands around the globe in the Intro to the US GHG Center story
- See how wetlands in the tropics and in higher latitude areas differ in their contribution to global wetland methane emissions in the Tracking Greenhouse Gas Cycles story
+ - Check out this dataset mentioned in the Models and Observations Combine to Uncover Drivers of Natural Methane Emissions story
## Acknowledgment
The LPJ-EOSIM model is based on the development of the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM) [by researchers at institutions in Germany and Sweden](https://doi.org/10.1046/j.1365-2486.2003.00569.x) (Potsdam and Jena, Germany & Lund, Sweden).
diff --git a/datasets/media/CarbonTracker_Image1_FINAL.png b/datasets/media/CarbonTracker_Image1_FINAL.png
new file mode 100644
index 000000000..e05dc1745
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diff --git a/datasets/media/ct-ch4-monthgrid-v2023-cover.jpg b/datasets/media/ct-ch4-monthgrid-v2023-cover.jpg
new file mode 100644
index 000000000..170fe2c4e
Binary files /dev/null and b/datasets/media/ct-ch4-monthgrid-v2023-cover.jpg differ
diff --git a/datasets/media/goes-ch4plume--cover.png b/datasets/media/goes-ch4plume--cover.png
new file mode 100644
index 000000000..8ff752829
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diff --git a/datasets/media/tm5--dataset-cover.jpg b/datasets/media/tm5--dataset-cover.jpg
deleted file mode 100644
index 3b80bcbbc..000000000
Binary files a/datasets/media/tm5--dataset-cover.jpg and /dev/null differ
diff --git a/datasets/micasa-carbonflux-daygrid-v1.data.mdx b/datasets/micasa-carbonflux-daygrid-v1.data.mdx
index bf90047cd..23502aa32 100644
--- a/datasets/micasa-carbonflux-daygrid-v1.data.mdx
+++ b/datasets/micasa-carbonflux-daygrid-v1.data.mdx
@@ -9,7 +9,7 @@ usage:
- url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fmicasa-carbonflux-daygrid-v1_User_Notebook.ipynb&branch=main'
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#micasa-carbonflux-daygrid-v1/
+ - url: https://data.ghg.center/browseui/index.html#micasa-carbonflux-daygrid-v1/
label: Browse and download the data
title: Data Browser
media:
@@ -823,7 +823,7 @@ layers:
van der Werf, G. R., Randerson, J. T., Giglio, L., van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M., van Marle, M. J. E., Morton, D. C., Collatz, G. J., Yokelson, R. J., & Kasibhatla, P. S. (2017). Global fire emissions estimates during 1997–2016. *Earth System Science Data*, 9, 697–720. [https://doi.org/10.5194/essd-9-697-2017](https://doi.org/10.5194/essd-9-697-2017)
## Learn More
- - Compare the difference in Net Ecosystem Exchange (NEE) between January and July 2011 in the Tracking Greenhouse Gas Cycles Data Insight. The NEE variable in the MiCASA dataset represents the balance in absorption of carbon by plants via photosynthesis against the release of carbon by plants during respiration. The comparison of NEE in January and July illustrates the difference between the winter and summer seasons.
+ - Compare the difference in Net Ecosystem Exchange (NEE) between January and July 2011 in the Tracking Greenhouse Gas Cycles Story. The NEE variable in the MiCASA dataset represents the balance in absorption of carbon by plants via photosynthesis against the release of carbon by plants during respiration. The comparison of NEE in January and July illustrates the difference between the winter and summer seasons.
## Acknowledgment
This dataset was produced as part of the [GEOS-Carb project](https://cce-datasharing.gsfc.nasa.gov/cmsprojects/list/h/0/) supported by NASA’s [Carbon Monitoring System (CMS) Program](https://carbon.nasa.gov/cms/).
diff --git a/datasets/nec-testbed-co2-and-ch4-concentrations.data.mdx b/datasets/nec-testbed-co2-and-ch4-concentrations.data.mdx
index c17bbe5cf..f02739eef 100644
--- a/datasets/nec-testbed-co2-and-ch4-concentrations.data.mdx
+++ b/datasets/nec-testbed-co2-and-ch4-concentrations.data.mdx
@@ -25,6 +25,7 @@ taxonomy:
- name: Topics
values:
- GHG Concentrations
+ - Methane
- Urban
- name: Source
values:
diff --git a/datasets/noaa-cpfp-ch4-point.data.mdx b/datasets/noaa-cpfp-ch4-point.data.mdx
index fc342b0fb..d0c1038d5 100644
--- a/datasets/noaa-cpfp-ch4-point.data.mdx
+++ b/datasets/noaa-cpfp-ch4-point.data.mdx
@@ -21,6 +21,7 @@ taxonomy:
- name: Topics
values:
- GHG Concentrations
+ - Methane
- name: Source
values:
- NOAA
@@ -185,7 +186,7 @@ layers:
## Learn More
- [View current trends in CH4](https://gml.noaa.gov/ccgg/trends_ch4/) powered by NOAA data
- - See how NOAA’s GHG observations have contributed to the understanding of GHG fluxes from human-caused and natural sources in the Tracking Greenhouse Gas Cycles Data Insight
+ - See how NOAA’s GHG observations have contributed to the understanding of GHG fluxes from human-caused and natural sources in the Tracking Greenhouse Gas Cycles Story
- [Learn more about the Global Greenhouse Gas Reference Network (GGGRN)](https://gml.noaa.gov/ccgg/about.html)
## Acknowledgment
diff --git a/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx b/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx
index f0b10d06c..48bef03cf 100644
--- a/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx
+++ b/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Foco2-mip-co2budget-yeargrid-v1_User_Notebook.ipynb&branch=main'
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#oco2-mip-co2budget-yeargrid-v1/
+ - url: https://data.ghg.center/browseui/index.html#oco2-mip-co2budget-yeargrid-v1/
label: Browse and download the data
title: Data Browser
media:
diff --git a/datasets/oco2geos-co2-daygrid-v10r.data.mdx b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
index bfea4c86c..b12ca76c4 100644
--- a/datasets/oco2geos-co2-daygrid-v10r.data.mdx
+++ b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Foco2geos-co2-daygrid-v10r_User_Notebook.ipynb&branch=main'
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#oco2geos-co2-daygrid-v10r/
+ - url: https://data.ghg.center/browseui/index.html#oco2geos-co2-daygrid-v10r/
label: Browse and download the data
title: Data Browser
@@ -149,7 +149,7 @@ layers:
Yuen, K. (n.d.). *Home*. Orbiting Carbon Observatory-2. [https://ocov2.jpl.nasa.gov/](https://ocov2.jpl.nasa.gov/)
## Learn More
- - Learn more about how OCO-2 observations and measurements from other satellites contribute to GHG monitoring and models in the Tracking Greenhouse Gas Cycles Data Insight
+ - Learn more about how OCO-2 observations and measurements from other satellites contribute to GHG monitoring and models in the Tracking Greenhouse Gas Cycles Story
- Learn more about the [OCO-2 mission](https://ocov2.jpl.nasa.gov/)
## Acknowledgment
diff --git a/datasets/odiac-ffco2-monthgrid-v2023.data.mdx b/datasets/odiac-ffco2-monthgrid-v2023.data.mdx
index 803d17271..7bfea3fa8 100644
--- a/datasets/odiac-ffco2-monthgrid-v2023.data.mdx
+++ b/datasets/odiac-ffco2-monthgrid-v2023.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: 'https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fodiac-ffco2-monthgrid-v2023_User_Notebook.ipynb&branch=main'
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#odiac-ffco2-monthgrid-v2023/
+ - url: https://data.ghg.center/browseui/index.html#odiac-ffco2-monthgrid-v2023/
label: Browse and download the data
title: Data Browser
media:
diff --git a/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx b/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
index f21e567ee..bfd1758eb 100644
--- a/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
+++ b/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: "https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fsedac-popdensity-yeargrid5yr-v4.11_User_Notebook.ipynb&branch=main"
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#sedac-popdensity-yeargrid5yr-v4.11/
+ - url: https://data.ghg.center/browseui/index.html#sedac-popdensity-yeargrid5yr-v4.11/
label: Browse and download the data
title: Data Browser
media:
diff --git a/datasets/vulcan-co2-yeargrid-v4.data.mdx b/datasets/vulcan-co2-yeargrid-v4.data.mdx
index 1496fb005..1716f6c2e 100644
--- a/datasets/vulcan-co2-yeargrid-v4.data.mdx
+++ b/datasets/vulcan-co2-yeargrid-v4.data.mdx
@@ -12,7 +12,7 @@ usage:
- url: "https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fvulcan-ffco2-yeargrid-v4_User_Notebook.ipynb&branch=main"
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#vulcan-ffco2-yeargrid-v4/
+ - url: https://data.ghg.center/browseui/index.html#vulcan-ffco2-yeargrid-v4/
label: Browse and download the data
title: Data Browser
media:
diff --git a/datasets/vulcan-ffco2-elc-res-yeargrid-v4.data.mdx b/datasets/vulcan-ffco2-elc-res-yeargrid-v4.data.mdx
index 5d545f944..5de462d4a 100644
--- a/datasets/vulcan-ffco2-elc-res-yeargrid-v4.data.mdx
+++ b/datasets/vulcan-ffco2-elc-res-yeargrid-v4.data.mdx
@@ -13,11 +13,11 @@ usage:
- url: "https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Fvulcan-ffco2-yeargrid-v4_User_Notebook.ipynb&branch=main"
label: Run example notebook
title: Interactive Session in the US GHG Center JupyterHub (requires account)
- - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#vulcan-ffco2-yeargrid-v4/
+ - url: https://data.ghg.center/browseui/index.html#vulcan-ffco2-yeargrid-v4/
label: Browse and download the data
title: Data Browser
media:
- src: ::file ./media/tm5--dataset-cover.jpg
+ src: ::file ./media/ct-ch4-monthgrid-v2023-cover.jpg
alt: Static rendering of oceanic currents with arrow indicators for cycle direction and strength
author:
name: NASA's Science Visualization Studio (SVS)
diff --git a/e2e/pages/homePage.ts b/e2e/pages/homePage.ts
index 662515f3f..b921d39bd 100644
--- a/e2e/pages/homePage.ts
+++ b/e2e/pages/homePage.ts
@@ -9,6 +9,6 @@ export default class HomePage {
constructor(page: Page) {
this.page = page;
this.mainContent = this.page.getByRole('main');
- this.headingContainer = this.mainContent.locator('div').filter({ hasText: 'U.S. Greenhouse Gas CenterUniting Data and Technology to Empower Tomorrow\'s' }).nth(2)
+ this.headingContainer = this.mainContent.locator('div').filter({ hasText: 'U.S. Greenhouse Gas Center\'s' }).nth(2)
}
}
diff --git a/e2e/tests/about.spec.ts b/e2e/tests/about.spec.ts
index 3f902e771..ab8d7af08 100644
--- a/e2e/tests/about.spec.ts
+++ b/e2e/tests/about.spec.ts
@@ -19,7 +19,7 @@ test('about page should have no javascript errors', async ({
expect(pageErrorCalled, 'no javascript exceptions thrown on page').toBe(false)
});
-test('partner links should have url and image', async ({
+test.skip('partner links should have url and image', async ({
page,
aboutPage,
footerComponent
diff --git a/e2e/tests/catalogRouting.spec.ts b/e2e/tests/catalogRouting.spec.ts
index c0940b6d1..7b7b521b4 100644
--- a/e2e/tests/catalogRouting.spec.ts
+++ b/e2e/tests/catalogRouting.spec.ts
@@ -5,38 +5,39 @@ const visibleCatalogs = JSON.parse(fs.readFileSync('e2e/playwrightTestData.json'
test.describe('catalog card routing', () => {
for (const item of visibleCatalogs) {
- test(`${item} routes from catalog to details page`, async({
- page,
- catalogPage,
- datasetPage,
- notebookConnectModal,
- }) => {
- let pageErrorCalled = false;
- // Log all uncaught errors to the terminal
- page.on('pageerror', exception => {
- console.log(`Uncaught exception: "${exception}"`);
- pageErrorCalled = true;
- });
- await page.goto('/data-catalog');
- await expect(catalogPage.header, `catalog page should load`).toBeVisible();
- await catalogPage.clickCatalogCard(item);
-
- await expect(datasetPage.header.filter({ hasText: item}), `${item} page should load`).toBeVisible();
-
- // scroll page to bottom
- await test.step('scroll to bottom of page', async() => {
- await page.evaluate(() => window.scrollTo(0, document.body.scrollHeight));
- });
-
- expect(pageErrorCalled, 'no javascript exceptions thrown on page').toBe(false)
-
- await test.step('click access data button', async() => {
- await catalogPage.accessDataButton.click();
+ test(`${item} routes from catalog to details page`, async({
+ page,
+ catalogPage,
+ datasetPage,
+ notebookConnectModal,
+ }) => {
+ let pageErrorCalled = false;
+ // Log all uncaught errors to the terminal
+ page.on('pageerror', exception => {
+ console.log(`Uncaught exception: "${exception}"`);
+ pageErrorCalled = true;
+ });
+
+ await page.goto('/data-catalog');
+ await expect(catalogPage.header, `catalog page should load`).toBeVisible();
+ await catalogPage.clickCatalogCard(item);
+
+ await expect(datasetPage.header.filter({ hasText: item}), `${item} page should load`).toBeVisible();
+
+ // scroll page to bottom
+ await test.step('scroll to bottom of page', async() => {
+ await page.evaluate(() => window.scrollTo(0, document.body.scrollHeight));
+ });
+
+ expect(pageErrorCalled, 'no javascript exceptions thrown on page').toBe(false)
+
+ await test.step('click access data button', async() => {
+ await catalogPage.accessDataButton.click();
+ })
+
+ await expect(notebookConnectModal.heading, 'modal should be visisble').toBeVisible();
})
-
- await expect(notebookConnectModal.heading, 'modal should be visisble').toBeVisible();
- })
}
});
diff --git a/e2e/tests/storiesRouting.spec.ts b/e2e/tests/storiesRouting.spec.ts
index e1d419919..532e2be9d 100644
--- a/e2e/tests/storiesRouting.spec.ts
+++ b/e2e/tests/storiesRouting.spec.ts
@@ -4,30 +4,32 @@ const visibleStories = JSON.parse(require('fs').readFileSync('e2e/playwrightTest
test.describe('stories card routing', () => {
for (const item of visibleStories) {
+ // skip external link
+ if (item !== "NOAA's GOES Satellites Can Provide Quicker Detection of Methane Gas Leaks") {
+ test(`${item} routes from stories to details page`, async({
+ page,
+ storyPage,
+ datasetPage,
+ }) => {
+ let pageErrorCalled = false;
+ // Log all uncaught errors to the terminal
+ page.on('pageerror', exception => {
+ console.log(`Uncaught exception: "${exception}"`);
+ pageErrorCalled = true;
+ });
- test(`${item} routes from stories to details page`, async({
- page,
- storyPage,
- datasetPage,
- }) => {
- let pageErrorCalled = false;
- // Log all uncaught errors to the terminal
- page.on('pageerror', exception => {
- console.log(`Uncaught exception: "${exception}"`);
- pageErrorCalled = true;
- });
+ await page.goto('/stories');
+ await expect(storyPage.header, `stories page should load`).toBeVisible();
- await page.goto('/stories');
- await expect(storyPage.header, `stories page should load`).toBeVisible();
-
- await test.step(`click on ${item} article card`, async() => {
- const storyCard = storyPage.mainContent.getByRole('article').getByRole('heading', { level: 3, name: item, exact: true}).last();
- await storyCard.scrollIntoViewIfNeeded();
- await storyCard.click({force: true});
- })
- await expect(datasetPage.header.filter({ hasText: item}), `${item} page should load`).toBeVisible();
- expect(pageErrorCalled, 'no javascript exceptions thrown on page').toBe(false)
- })
+ await test.step(`click on ${item} article card`, async() => {
+ const storyCard = storyPage.mainContent.getByRole('article').getByRole('heading', { level: 3, name: item, exact: true}).last();
+ await storyCard.scrollIntoViewIfNeeded();
+ await storyCard.click({force: true});
+ })
+ await expect(datasetPage.header.filter({ hasText: item}), `${item} page should load`).toBeVisible();
+ expect(pageErrorCalled, 'no javascript exceptions thrown on page').toBe(false)
+ })
+ }
}
});
diff --git a/overrides/about.mdx b/overrides/about.mdx
index 8a720de1e..9dc270708 100644
--- a/overrides/about.mdx
+++ b/overrides/about.mdx
@@ -1,6 +1,6 @@
---
title: The U.S. Greenhouse Gas Center
-description: Uniting Data and Technology to Empower Tomorrow's Climate Solutions
+description: " "
---
import { PartnerHeader } from "./common/styles";
diff --git a/overrides/components/home-hero/component.tsx b/overrides/components/home-hero/component.tsx
index a0d62bb3a..92f6a8f02 100644
--- a/overrides/components/home-hero/component.tsx
+++ b/overrides/components/home-hero/component.tsx
@@ -77,10 +77,6 @@ export default function HomeHero(props) {
U.S. Greenhouse Gas Center
-
- Uniting Data and Technology to Empower Tomorrow's Climate
- Solutions
-
- The current U.S. Greenhouse Gas Center portal reflects a final beta release (v{process.env.APP_VERSION}) available September 19, 2024. While in beta mode, the portal will undergo additional design changes and content additions. The currently available greenhouse gas information is accurate and ready to be used for research and decision making.
+ The current U.S. Greenhouse Gas Center portal reflects a beta release (v{process.env.APP_VERSION}) available December 5, 2024. While in beta mode, the portal will undergo additional design changes and content additions. The currently available greenhouse gas information is accurate and ready to be used for research and decision making.
We welcome your feedback to improve the US GHG Center. To share your thoughts, please click the Contact Us
@@ -47,6 +47,7 @@ export default function Component() {
forwardedAs="a"
href="https://github.com/NASA-IMPACT/veda-config-ghg/releases"
variation="primary-fill"
+ target="_blank"
>
Releases
diff --git a/overrides/home/carousel/items.js b/overrides/home/carousel/items.js
index bfe07ebf9..63e76ed47 100644
--- a/overrides/home/carousel/items.js
+++ b/overrides/home/carousel/items.js
@@ -1,7 +1,14 @@
export default [
+ {
+ link: '/stories/methane',
+ title: 'Spotlight on Methane Emissions',
+ description: 'The U.S. Greenhouse Gas Center offers a collection of tools, stories, training, and datasets to support greater understanding of methane emissions around the world.',
+ image: new URL('../../media/Methane_Carousel_card.png', import.meta.url).href,
+ imageAlt: 'Earth shown with purple gas indicating atmospheric methane.'
+ },
{
link: 'https://us-ghg-center.github.io/agu-2024-workshop/ghg-center-at-agu-2024.html',
- title: 'Schedule: US GHG Center at AGU 2024',
+ title: 'US GHG Center at AGU 2024',
description: 'Join us at the annual American Geophysical Union (AGU) meeting, held December 9-13 in Washington, D.C.',
image: new URL('../../media/AGU2024_carousel_2.png', import.meta.url).href,
imageAlt: 'US GHG Center at AGU 2024.'
@@ -10,14 +17,8 @@ export default [
link: 'https://appliedsciences.nasa.gov/get-involved/training/english/arset-methane-observations-large-emission-event-detection-and',
title: 'New Training on Methane Observations',
- description: "Registration is open now on ARSET, NASA's remote sensing training program, for large emission event detection and monitoring.",
+ description: "View training and materials from ARSET, NASA’s remote sensing training program, for large emission event detection and monitoring.",
image: new URL('../../media/Methane_Website_Header.png', import.meta.url).href,
imageAlt: 'Register: Stakeholder Engagement Forum.'
},
- {
- link: '/stories/urban',
- title: 'Spotlight on Urban Emissions',
- description: 'The U.S. Greenhouse Gas Center offers an introduction to the latest national and city scale datasets and highlights innovative emissions research in cities across the country.',
- image: 'https://www.nasa.gov/wp-content/uploads/2023/03/1-maia-los-angeles-1041.jpg',
- imageAlt: 'Los Angeles skyline shown with visible haze of air pollution.'
-}]
+]
diff --git a/overrides/home/index.mdx b/overrides/home/index.mdx
index 2331ce745..6b4f240d6 100644
--- a/overrides/home/index.mdx
+++ b/overrides/home/index.mdx
@@ -1,6 +1,6 @@
---
title: U.S. Greenhouse Gas Center
-description: Uniting Data and Technology to Empower Tomorrow's Climate Solutions
+description: " "
---
import Cmp from './component';
diff --git a/overrides/media/Methane_Carousel_card.png b/overrides/media/Methane_Carousel_card.png
new file mode 100644
index 000000000..447ef1a11
Binary files /dev/null and b/overrides/media/Methane_Carousel_card.png differ
diff --git a/overrides/media/Methane_Website_Header.png b/overrides/media/Methane_Website_Header.png
index 881a8960c..5a94c9602 100644
Binary files a/overrides/media/Methane_Website_Header.png and b/overrides/media/Methane_Website_Header.png differ
diff --git a/package.json b/package.json
index 02ab6566c..8b6dc14c3 100644
--- a/package.json
+++ b/package.json
@@ -1,7 +1,7 @@
{
"name": "veda-config",
"description": "Configuration for Veda",
- "version": "3.0.3",
+ "version": "3.1.0",
"source": "./.veda/ui/app/index.html",
"license": "Apache-2.0",
"scripts": {
diff --git a/stories/baltimore.stories.mdx b/stories/baltimore.stories.mdx
index ce8a49399..1776821e7 100644
--- a/stories/baltimore.stories.mdx
+++ b/stories/baltimore.stories.mdx
@@ -13,11 +13,12 @@ pubDate: 2024-09-20
taxonomy:
- name: Topics
values:
+ - Methane
- Urban
- name: Gas
values:
- - CO₂
- CH₄
+ - CO₂
---
diff --git a/stories/discovering-large-methane-emissions.stories.mdx b/stories/discovering-large-methane-emissions.stories.mdx
index 416431a5d..9c5ad9b69 100644
--- a/stories/discovering-large-methane-emissions.stories.mdx
+++ b/stories/discovering-large-methane-emissions.stories.mdx
@@ -12,6 +12,7 @@ taxonomy:
- name: Topics
values:
- Large Emission Events
+ - Methane
- name: Gas
values:
- CH₄
diff --git a/stories/emit-and-aviris-3.stories.mdx b/stories/emit-and-aviris-3.stories.mdx
index 856d96414..b3e73c82f 100644
--- a/stories/emit-and-aviris-3.stories.mdx
+++ b/stories/emit-and-aviris-3.stories.mdx
@@ -15,6 +15,7 @@ taxonomy:
- name: Topics
values:
- Large Emission Events
+ - Methane
- name: Gas
values:
- CH₄
diff --git a/stories/emit-extension-aviris-flights.stories.mdx b/stories/emit-extension-aviris-flights.stories.mdx
new file mode 100644
index 000000000..0f6c24522
--- /dev/null
+++ b/stories/emit-extension-aviris-flights.stories.mdx
@@ -0,0 +1,115 @@
+---
+id: 'emit-extension-aviris-flights'
+name: NASA Expands Capabilities in Methane Detection from Air and Space
+description: 'To meet needs for methane measurement, two key NASA technologies have made recent steps. The Earth Surface Mineral Dust Source Investigation (EMIT) project is expanding its methane detection from space, and Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) test flights are helping to improve scientific understanding of sources of methane. '
+media:
+ src: ::file ./methane/media/EMIT_story_card.png
+ alt: instrument in space on a satellite with earth view in the background
+ author:
+ name: NASA
+pubDate: 2024-12-05
+taxonomy:
+ - name: Topics
+ values:
+ - Large Emission Events
+ - Methane
+ - name: Gas
+ values:
+ - CH₄
+---
+
+
+
+ Methane is a powerful greenhouse gas, and is the second-largest contributor to rising global temperatures after carbon dioxide (CO₂). Yet the sources of methane are not as well understood as CO₂, and NASA scientists are responding to that challenge by expanding missions and putting instruments to work in new ways.
+
+ Two key technologies have made recent steps to meet the need for methane measurements. The Earth Surface Mineral Dust Source Investigation (EMIT) project is expanding its methane detection from space, and Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) test flights are helping to improve scientific understanding of sources of methane.
+
+
+
+
+
+ ## EMIT Expands Operations with a Renewed Focus on Methane
+ EMIT is a NASA instrument aboard the International Space Station. It was initially designed to measure the effects of mineral dust on the climate, but this versatile instrument has many capabilities, including detection of methane plumes from large emission events. Now [the EMIT mission will be extended for an additional three years](https://www.nasa.gov/missions/emit/nasas-emit-will-explore-diverse-science-questions-on-extended-mission/), with methane observations as one of its primary focus areas.
+
+
+
+
+ The Earth Surface Mineral Dust Source Investigation, or EMIT, instrument was installed on the port side of the International Space Station's truss structure in July 2022. EMIT began as a mineral dust source observation experiment, though the mission has recently been extended for three years, enabling it to focus on detecting methane emissions.
+
+
+
+ “The extended mission is particularly exciting,” said Dr. Andrew Thorpe, a Research Technologist at NASA’s Jet Propulsion Laboratory. Initially, EMIT only took measurements over parts of the world that produced large amounts of dust, like deserts. Coincidentally, some of these desert regions also contained large methane plumes, such as emissions from oil and gas operations in the Middle East. EMIT also detected large methane plumes coming from landfills within arid regions. “But we want to see beyond that,” said Thorpe. “EMIT will soon have near global coverage, and that’s tremendous.”
+
+ This work is particularly beneficial because in some cases methane leaks can be repaired. Rapid detection of leaks can help facility operators, stakeholders, and decision-makers respond to large methane emissions events, thereby preventing further pollution, protecting nearby workers and communities, and supporting more efficient facility operation.
+
+ Collecting data is an important step in understanding methane emissions, but to enable usability of the data, it must then be shared in ways that are easy to access and understand.
+
+ To that end, an updated data viewer developed by the U.S. Greenhouse Gas Center (US GHG Center) allows users to interact with a global map of large, point-source methane plumes. Users can now trace EMIT observation passes over time, quantify plumes within a selected geographic region, and use a new point-and-click tool to measure plume size in miles or kilometers.
+
+
+
+
+
+
+
+
+
+
+ ## AVIRIS-3 Takes Flight to Spot Methane Sources
+ Aircraft-based measurements are another tool in methane detection, using a similar technology as EMIT, but on a more localized scale. “They can see smaller emissions,” said Thorpe, and because aircraft-based instruments cover a smaller area, they can produce higher resolution measurements and fill gaps in satellite data where overpasses are less frequent.
+
+ The [AVIRIS-3](https://airbornescience.jpl.nasa.gov/instruments/aviris-3) instrument is the third generation of Airborne Visible/Infrared Imaging Spectrometers, and it can be flown on a variety of aircraft. Two recent collaborative airborne projects examined methane emissions from different geographic regions and sources.
+
+ The first of these collaborations was a [two-week research effort](https://csl.noaa.gov/groups/csl3/measurements/2024ammbec/), joined by NASA, marking the launch of NOAA’s four-year [AiRMAPS](https://csl.noaa.gov/projects/airmaps/) (Airborne and Remote sensing Methane and Air Pollutant Surveys) initiative. Aboard research aircraft, NOAA scientists used direct air sampling to measure the total amount of methane in the air, while NASA’s AVIRIS-3 mapped methane concentrations across the study area to pinpoint the sources of methane. The flights, which were supported by the Colorado Department of Public Health and Environment, identified a number of large methane plumes which may be connected to sources like agriculture and landfills.
+
+ "The state of Colorado has been a leader in managing methane emissions," said Steven Brown, Tropospheric Chemistry Program Leader with NOAA’s Chemical Sciences Laboratory. "The tiered observing system deployed this summer, including satellite remote sensing, AVIRIS flights, airborne in-situ measurements and ground based observations, will provide powerful new data to assess current methane emissions inventories for Colorado and other NOAA and NASA partners at the state level."
+
+ Another AVIRIS-3 demonstration project measured methane plumes over the Gulf of Mexico. During a 12-day campaign, methane emissions from drilling platforms were measured by three different methods: by ship, by satellite, and from an AVIRIS-equipped aircraft. Detection of emissions over open water has historically been more challenging for satellite-based observations alone, so by leveraging different observation technologies and new methods, researchers are able to collect and validate data over wider geographic ranges.
+
+ Dr. Ryan Stauffer, a research scientist from NASA’s Goddard Space Flight Center, was one of the scientists who took part in the field research. “What we did out there was very cool,” he said. “The newest instruments are getting better and better data. We’re learning more and more.”
+
+ The AVIRIS-3 instrument was flown aboard a series of NASA [SCOAPE](https://www-air.larc.nasa.gov/missions/scoape/index.html) (Satellite Coastal and Oceanic Atmospheric Pollution Experiment) flights, in coordination with the U.S. Bureau of Ocean Energy Management. The goal of the project was “to understand all we can about oil and gas operations in the Gulf of Mexico,” said Stauffer.
+
+
+
+
+ The Petronius deepwater oil platform flaring during a May 2019 SCOAPE cruise. The helicopter in the foreground is used as a means of transporting personnel to and from the platform.
+
+
+
+ The science teams observed around 60 offshore platforms and identified “dozens of plumes,” according to Stauffer. “Finding and sharing information on methane leaks is low-hanging fruit in terms of supporting solutions, and in terms of reducing emissions,” he explained.
+
+ Localized measurements are particularly useful for facility managers and stakeholders, in part because methane plumes can be spotted in real time during flyovers, allowing for swift action to remedy leaks or repair malfunctioning equipment. The spectral data is “clear as day,” said Thorpe. “It makes the invisible visible.”
+
+ Most importantly, Stauffer explained how this work will support both public and private decision-makers. “We provide this data to help people make decisions; to help people solve problems,” he said. “This is going to be a huge benefit.”
+
+ AVIRIS data is planned to be made available on the US GHG Center portal in 2025.
+
+
+
+
+
+
+ **Author:**
+ *Karin Kirk, NASA’s Jet Propulsion Laboratory*
+
+
+
+
+
+ ## Resources for Data Users
+ - Detailed dataset information: EMIT Methane Point Source Plume Complexes
+ - Detailed dataset information: AVIRIS-3 Data Portal
+
+
diff --git a/stories/epa-super-emitter.stories.mdx b/stories/epa-super-emitter.stories.mdx
new file mode 100644
index 000000000..f05904a7c
--- /dev/null
+++ b/stories/epa-super-emitter.stories.mdx
@@ -0,0 +1,84 @@
+---
+id: 'epa-super-emitter'
+name: Advanced Technology to Detect Methane “Super Emitters” from Oil and Natural Gas Operations
+description: 'Under the U.S. EPA’s recent rule for oil and natural gas operations, EPA-certified third parties may use EPA-approved remote-sensing technology to identify large methane releases known as “super emitters.” The third parties will share data with the EPA. If the data are credible, the EPA will notify owners/operators, who must investigate.'
+media:
+ src: ::file ./media/EPA_Super_Emitters_card.png
+ alt: a cluster of white oil tanks
+isHidden: false
+pubDate: 2024-12-05
+taxonomy:
+ - name: Topics
+ values:
+ - Large Emission Events
+ - Methane
+ - name: Gas
+ values:
+ - CH₄
+---
+
+
+
+ In three overpasses during the winter of 2015-16, the Hyperion imaging instrument on NASA’s Earth Observing-1 (EO-1) satellite detected methane emissions from a months-long accidental release at the Aliso Canyon natural gas storage facility just north of Los Angeles. The satellite observations were consistent with aircraft-based methane observations from NASA’s Airborne/Infrared Imaging Spectrometer (AVIRIS) instrument. It was the first time that methane emissions from an individual facility had been observed from space – and it marked the beginning of a wave of innovation in remote-sensing methane detection technologies that can provide actionable data.
+
+ Now, the Environmental Protection Agency is leveraging those innovations through a new program designed to identify abnormally large methane emissions from oil and natural gas facilities for prompt investigation.
+
+
+
+
+
+
+
+
+ This image pair shows a comparison of detected methane plumes over Aliso Canyon, California, acquired 11 days apart in Jan. 2016 by: (left) NASA's AVIRIS instrument on a NASA ER-2 aircraft at 4.1 miles (6.6 kilometers) altitude and (right) by the Hyperion instrument on NASA's Earth Observing-1 satellite in low-Earth orbit. The additional red streaks visible in the EO-1 Hyperion image result from measurement noise -- Hyperion was not specifically designed for methane sensing and is not as sensitive as AVIRIS-NG.
+
+
+
+
+
+
+
+ These large methane emissions events are commonly called “super emitters.” They can result from planned maintenance or other routine operations but are frequently caused by improperly operating control devices or malfunctions. Leaking equipment, hatches left open on storage tanks, and malfunctioning flares and other devices all can cause super emitters.
+
+ Recent studies have found that as much as 50% of the methane emissions from oil and natural gas operations in the U.S. come from a small number of high-emitting sources. These events can be intermittent and can occur at any site, which makes it difficult both to predict them – and to detect them through regular monitoring surveys using traditional leak detection equipment such as optical gas imaging or hand-held flame ion detectors known as “sniffers.”
+
+ Advanced remote-sensing technologies are making super-emitters easier to find. So, as part of its recent [rule to reduce methane emissions from oil and natural gas operations](https://www.federalregister.gov/documents/2024/03/08/2024-00366/standards-of-performance-for-new-reconstructed-and-modified-sources-and-emissions-guidelines-for), the EPA established a program specifically designed to help identify these events and quickly notify owners and operators. Under the new Super Emitter Program, technology providers may apply to the EPA to have their remote methane detection technologies approved for use in the program. These include technologies that can be carried on satellites and mobile platforms, such as drones, aircraft, and other vehicles.
+
+ Separately, independent third parties may seek EPA certification to use the approved technologies to identify potential super emitters, which the agency has defined as methane leaks or releases with an emissions rate of 100 kilograms per hour or higher, and report those to the EPA, along with required information related to the event.
+
+ Certified third parties will have a maximum of 15 days after detecting a super-emitter event to report it to the EPA. After reviewing the report for completeness and accuracy, the EPA will notify the owner/operator, who must begin required investigations within five days. These investigations would normally include reviewing maintenance activities, reviewing control device monitoring data, and screening the entire site with traditional leak detection methods. Owners/operators must report the result of their investigations to the EPA within 15 days of receiving the notification. If the source of the emissions is covered by emissions control requirements under the EPA’s “methane rule,” owners/operators must take steps to mitigate the emissions. The EPA will post super-emitter reports on its [Super Emitter website](https://www.epa.gov/compliance/methane-super-emitter-program-owners-operators).
+
+
+
+ Under the EPA’s recent rules for oil and natural gas operations, EPA-certified third parties may use EPA-approved technology to help find large methane releases known as super emitters.
+
+
+
+
+
+
+
+ ## Resources for Data Users
+ - Reports will be posted on EPA’s Super Emitter website
+
+
+
+
+
+ ## References
+ Environmental Science & Technology (2022), [Quantifying Regional Methane Emissions in the New Mexico Permian Basin with a Comprehensive Aerial Survey](https://pubs.acs.org/doi/10.1021/acs.est.1c06458)
+
+
diff --git a/stories/goes-validation.stories.mdx b/stories/goes-validation.stories.mdx
new file mode 100644
index 000000000..02a9e5fe9
--- /dev/null
+++ b/stories/goes-validation.stories.mdx
@@ -0,0 +1,23 @@
+---
+id: "goes-validation"
+name: "NOAA's GOES Satellites Can Provide Quicker Detection of Methane Gas Leaks"
+description: "Results of a new experiment show technology aboard NOAA’s GOES satellites can help scientists better detect emissions of methane – a potent greenhouse gas – as often as every seven seconds. This will provide faster, more complete data on the location and amount of methane emissions to enable more rapid and successful mitigation efforts."
+isHidden: false
+asLink:
+ url: https://www.nesdis.noaa.gov/news/noaas-goes-satellites-can-provide-quicker-detection-of-large-methane-emissions
+media:
+ src: ::file ./methane/media/GOES_story_card_image.png
+ alt: colorful regions representing methane plumes over brown surface as observed by GOES satellite
+ author:
+ name: Environmental Protection Agency
+ url: "https://www.epa.gov"
+pubDate: 2024-12-05
+taxonomy:
+ - name: Topics
+ values:
+ - Large Emission Events
+ - Methane
+ - name: Gas
+ values:
+ - CH₄
+---
diff --git a/stories/gra2pes.stories.mdx b/stories/gra2pes.stories.mdx
index 89cfcb26b..6c6ccdb36 100644
--- a/stories/gra2pes.stories.mdx
+++ b/stories/gra2pes.stories.mdx
@@ -8,21 +8,21 @@ media:
author:
name: US GHG Center
url: "https://earth.gov/ghgcenter"
-featured: true
pubDate: 2024-09-20
taxonomy:
- name: Topics
values:
- - Urban
- Anthropogenic Emissions
+ - Methane
+ - Urban
- name: Gas
values:
- - CO₂
- CO
+ - CO₂
- CH₄
- NOₓ
- - SO₂
- PM2.5
+ - SO₂
---
import Quote from "./components/quote";
diff --git a/stories/media/EMIT_extension_story_body_image1.png b/stories/media/EMIT_extension_story_body_image1.png
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diff --git a/stories/media/carbon_mapper_leaking_oil_and_gas_pipeline.jpg b/stories/media/carbon_mapper_leaking_oil_and_gas_pipeline.jpg
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diff --git a/stories/methane.stories.mdx b/stories/methane.stories.mdx
new file mode 100644
index 000000000..842a0887b
--- /dev/null
+++ b/stories/methane.stories.mdx
@@ -0,0 +1,9 @@
+---
+id: "methane"
+name: "Topic: Methane Emissions"
+isHidden: true
+---
+
+import Cmp from "./methane/component"
+
+
\ No newline at end of file
diff --git a/stories/methane/component.tsx b/stories/methane/component.tsx
new file mode 100644
index 000000000..b442ce39b
--- /dev/null
+++ b/stories/methane/component.tsx
@@ -0,0 +1,99 @@
+import React from "$veda-ui/react";
+import { Link } from "$veda-ui/react-router-dom";
+import {
+ Grid,
+ GridContainer,
+} from '$veda-ui/@trussworks/react-uswds';
+
+import Block from "$veda-ui-scripts/components/common/blocks/";
+import Figure from '$veda-ui-scripts/components/common/blocks/figure';
+import { ContentBlockProse as Prose } from '$veda-ui-scripts/styles/content-block';
+import { Caption } from '$veda-ui-scripts/components/common/blocks/images';
+
+
+import Keypoints from "../../common/keypoints";
+import { Title } from "../../common/styled-components";
+
+import {
+ tools,
+ stories,
+ trainings,
+ datasets,
+} from './content';
+
+
+export default function Urban() {
+ return (
+ <>
+
+
+
About Methane
+
+ Methane is a greenhouse gas emitted by a complex mix of natural sources and human activities. Although it is shorter-lived than carbon dioxide in the atmosphere, the structure of methane molecules makes the chemical compound particularly powerful at trapping heat: the comparative impact of methane is 28 times greater than carbon dioxide over a 100-year period. These attributes make methane an attractive focus for efforts to research and reduce emissions, which can help to limit rising temperatures, improve air quality, and support operational efficiency within some industrial sectors.
+
+
+
+
+ To meet the growing need for information, innovative new observations and coordination across public and private data providers are enhancing trust and transparency in methane data. Explore below to learn how researchers and data providers are working to understand emissions around the world and support local scale views of methane sources.
+
+
+
+
Volumetric visualization of the total Methane (CH₄) on a global scale added on Earth's atmosphere over the course of the year 2021.
+
Video credit: NASA Scientific Visualization Studio
+
+
+
+
+
+
+
+ Methane Visualization Tools
+
+ View and explore methane emissions data with customized, interactive visualization tools from the U.S. Greenhouse Gas Center.
+
+
+
+
+
+ Stories: Innovations in Methane Research & Monitoring
+
+ A look into the innovative technologies, observations, Earth system models, and public-private collaborations that are driving deeper understanding and informing responses to methane emissions. For more, explore the full listing of methane stories.
+
+
+
+
+ {/* */}
+
+ Training: Using Methane Data
+
+ Participate in the latest training opportunity to learn how to use methane observations available on the U.S. Greenhouse Gas Center portal.
+
+
+
+
+
+ Resources for Data Users
+
+ Would you like to engage directly with the data? To discover detailed dataset information and download the data, explore the full listing of methane datasets.
+
+
+
+ Users can also access the full data catalog, interactive maps, data visualizations, and open source tools by clicking “Data Toolkit” at the top or bottom of any page.
+
+
+
+
+
+ )
+}
diff --git a/stories/methane/content.js b/stories/methane/content.js
new file mode 100644
index 000000000..2f3718bf7
--- /dev/null
+++ b/stories/methane/content.js
@@ -0,0 +1,238 @@
+export const tools = [
+ {
+ "title": "EMIT Methane Plume Viewer",
+ "desc": "NASA’s EMIT instrument measures mineral dust, carbon dioxide and methane from the International Space Station. This updated interactive plume viewer offers a global map of large, point source methane plumes. New functionalities include EMIT overpasses over time, geographic plume quantifications, and a point-and-click plume measurement tool.",
+ "hideExternalLinkFlag": true,
+ "img": {
+ "src": new URL('../../common/media/EMIT_Plume_Viewer_card.png', import.meta.url).href,
+ "alt": "view of colored shape overlaid on satellite landscape image with boxes of information containing plume details"
+ },
+ "link": {
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/emit-ch4plume-v1",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "GOES Large Plume Visualization",
+ "desc": "NOAA’s GOES is the Western Hemisphere’s most advanced weather-monitoring satellite system, capable of detecting very large methane plumes. A new tool using GOES-16 data allows users to visualize large methane emission events, select the region and plume of interest, and animate to see how the plume changes over five-minute intervals.",
+ "hideExternalLinkFlag": true,
+ "img": {
+ "src": new URL('../../common/media/GOES_Methane_Plume_viewer_card.png', import.meta.url).href,
+ "alt": "map showing colorful methane gas plume from GOES over a green surface satellite image on June 15, 2020 in Indiana"
+ },
+ "link": {
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/goes-plume-viewer/",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "U.S. Gridded Anthropogenic Methane Emissions Inventory",
+ "desc": "Use the exploration and analysis environment to display custom maps and time series of high-resolution methane emission estimates from the EPA based on their Gridded Anthropogenic Methane Emissions Inventory. The Gridded inventory translates national and state level information to detailed maps that help researchers compare the inventory to atmospheric observations.",
+ "img": {
+ "src": new URL('../../common/media/EPA_Gridded_Methane_card.png', import.meta.url).href,
+ "alt": "satellite map of western US region with areas of color indicating annual methane emissions for 2018"
+ },
+ "link": {
+ "url": '/exploration?datasets=[{"id":"total-methane","settings":{"isVisible":true,"opacity":100,"analysisMetrics":[{"id":"mean","label":"Average","chartLabel":"Average","themeColor":"infographicB"}],"colorMap":"epa-ghgi-ch4","scale":{"min":0,"max":20}}}]&taxonomy={}&search=epa&date=2020-01-01T06:00:00.000Z',
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "NOAA Methane Concentration Viewer",
+ "desc": "Get a bird’s-eye view of NOAA’s atmospheric methane measurements from ground stations around the globe, and explore how methane concentrations have changed over time. These data include tower, ground site and flask measurements as part of NOAA’s Global Greenhouse Gas Reference Network.",
+ "hideExternalLinkFlag": true,
+ "img": {
+ "src": new URL('../../common/media/NOAA_Methane_Concentration_Viewer_card.png', import.meta.url).href,
+ "alt": "map showing Mauna Loa location of station with a time series of data below the map"
+ },
+ "link": {
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/noaa-gggrn-ghg-concentrations/index.html?ghg=ch4&frequency=all",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "NIST Tower Data Viewer",
+ "desc": "An interactive methane and carbon dioxide data tool for NIST’s Urban GHG Measurements Testbed System, using measurements from ground-based observing networks in three urban testbeds across the U.S.",
+ "img": {
+ "src": new URL('../../common/media/NIST_NEC_Methane_Viewer_card1.png', import.meta.url).href,
+ "alt": "map showing Northwest Baltimore, MD location of station with a time series of data below the map"
+ },
+ "link": {
+ "url": "/data-catalog/influx-testbed-ghg-concentrations",
+ "text": "See more"
+ },
+ "footer": {
+ "links": [
+ {
+ "title": "Indianapolis Flux Experiment (INFLUX)",
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/nist-interface/?agency=nist®ion=in&zoom-level=8&ghg=ch4"
+ },
+ {
+ "title": "Los Angeles Megacity Carbon Project",
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/nist-interface/?agency=nist®ion=lam&zoom-level=7&ghg=ch4"
+ },
+ {
+ "title": "Northeast Corridor (NEC) Urban Test Bed",
+ "url": "https://earth.gov/ghgcenter/custom-interfaces/nist-interface/?agency=nist®ion=nec&zoom-level=5&ghg=ch4"
+ }
+ ]
+ }
+ },
+ ]
+
+export const stories = [
+ {
+ "title": "NASA Expands Capabilities in Methane Detection from Air and Space",
+ "desc": "To meet needs for methane measurement, two key NASA technologies have made recent steps. The Earth Surface Mineral Dust Source Investigation (EMIT) project is expanding its methane detection from space, and Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) test flights are helping to improve scientific understanding of sources of methane. ",
+ "img": {
+ "src": new URL('./media/EMIT_story_card.png', import.meta.url).href,
+ "alt": "the international space station in orbit over the earth with a zoomed in view of the EMIt instrument on the station"
+ },
+ "link": {
+ "url": "/stories/emit-extension-aviris-flights",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "NIST Developing Consensus Standards for Growing Volume of Methane Plume Satellite Data",
+ "desc": "Methane measurements have seen a boom in data volume within the last decade as remote sensing technologies have advanced and new space-based instruments have taken flight. To support greater transparency and interoperability, NIST is leading an effort to standardize protocols for methane plume data reporting, processing, and comparison.",
+ "img": {
+ "src": new URL('./media/NIST_Methane_Intercomparisons_card.png', import.meta.url).href,
+ "alt": "industrial smokestack background overlaid with connected points of light and human in foreground looking at the scene"
+ },
+ "link": {
+ "url": "/stories/nist-methane-intercomparisons",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "Models and Observations Combine to Uncover Drivers of Natural Methane Emissions",
+ "desc": "Major natural sources of methane, like wetlands, create complications in identifying types and quantities of emissions. Researchers from NASA and NOAA are using advanced technology and models to deepen understanding of the role of natural sources and sinks in global atmospheric concentrations and support improved estimates in the global methane budget.",
+ "img": {
+ "src": new URL('./media/Wetlands_image_v2_rs.png', import.meta.url).href,
+ "alt": "view of wetland and brush/forest area from above"
+ },
+ "link": {
+ "url": "/stories/modeling-natural-methane-emissions",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "Advanced Technology to Detect Methane “Super Emitters” from Oil and Natural Gas Operations",
+ "desc": "Under the U.S. EPA’s recent rule for oil and natural gas operations, EPA-certified third parties may use EPA-approved remote-sensing technology to identify large methane releases known as “super emitters.” The third parties will share data with the EPA. If the data are credible, the EPA will notify owners/operators, who must investigate.",
+ "img": {
+ "src": new URL('../media/EPA_Super_Emitters_card.png', import.meta.url).href,
+ "alt": "a cluster of white oil tanks"
+ },
+ "link": {
+ "url": "/stories/epa-super-emitter",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "NOAA’s GOES Satellites Can Provide Quicker Detection of Methane Gas Leaks",
+ "desc": "Results of a new experiment show technology aboard NOAA’s GOES satellites can help scientists better detect emissions of methane – a potent greenhouse gas – as often as every seven seconds. This will provide faster, more complete data on the location and amount of methane emissions to enable more rapid and successful mitigation efforts.",
+ "img": {
+ "src": new URL('./media/GOES_story_card_image.png', import.meta.url).href,
+ "alt": "colorful regions representing methane plumes over brown surface as observed by GOES satellite"
+ },
+ "link": {
+ "url": "https://www.nesdis.noaa.gov/news/noaas-goes-satellites-can-provide-quicker-detection-of-large-methane-emissions",
+ "text": "See more"
+ },
+ "footer": null
+ }
+]
+
+export const trainings = [
+ {
+ "title": "ARSET Training on Large Emission Event Detection and Monitoring",
+ "desc": "This introductory two-part training introduces the U.S. Greenhouse Gas Center and provides an overview of how methane observations from the Earth surface Mineral dust Source Investigation (EMIT) mission can be used to identify and monitor areas of high methane enhancement.",
+ "img": {
+ "src": new URL('../../overrides/media/Methane_Website_Header.png', import.meta.url).href,
+ "alt": "the ARSET logo overlaid on an image of a colorful area representing an EMIT methane plume "
+ },
+ "link": {
+ "url": "https://appliedsciences.nasa.gov/get-involved/training/english/arset-methane-observations-large-emission-event-detection-and",
+ "text": "See more"
+ },
+ "footer": null
+ }
+]
+
+
+export const datasets = [
+ {
+ "title": "U.S. Gridded Anthropogenic Methane Emissions Inventory",
+ "desc": "Spatially disaggregated 0.1°x 0.1° maps of annual U.S. anthropogenic methane emissions from over 25 emission sources, consistent with the U.S. Inventory of Greenhouse Gas Emissions and Sinks",
+ "img": {
+ "src": new URL('../../datasets/media/epa-annual--cover.jpg', import.meta.url).href,
+ "alt": "Total Gridded Methane Emissions from the U.S. Inventory of Greenhouse Gas Emissions and Sinks"
+ },
+ "link": {
+ "url": "/data-catalog/epa-ch4emission-yeargrid-v2express",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "Geostationary Satellite Observations of Extreme and Transient Methane Emissions from Oil and Gas Infrastructure",
+ "desc": "A sample of methane plumes from point sources observed since 2019 by the U.S. Geostationary Operational Environmental Satellites (GOES) over North and South America",
+ "img": {
+ "src": new URL('../../datasets/media/goes-ch4plume--cover.png', import.meta.url).href,
+ "alt": "emission from industry"
+ },
+ "link": {
+ "url": "/data-catalog/goes-ch4plume-v1",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "Wetland Methane Emissions, LPJ-EOSIM Model ",
+ "desc": "Global monthly and daily 0.5 degree resolution estimates of wetland methane emissions from the LPJ-EOSIM model, version 1",
+ "img": {
+ "src": new URL('../../datasets/media/ch4-wetland--cover.jpeg', import.meta.url).href,
+ "alt": "svs visualiztion"
+ },
+ "link": {
+ "url": "/data-catalog/lpjeosim-wetlandch4-grid-v1",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes",
+ "desc": "Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 2023",
+ "img": {
+ "src": new URL('../../datasets/media/ct-ch4-monthgrid-v2023-cover.jpg', import.meta.url).href,
+ "alt": "three dimensional plot of methane in the atmosphere"
+ },
+ "link": {
+ "url": "/data-catalog/ct-ch4-monthgrid-v2023",
+ "text": "See more"
+ },
+ "footer": null
+ },
+ {
+ "title": "GOSAT-based Top-down Total and Natural Methane Emissions ",
+ "desc": "Total and wetland yearly methane emissions derived using the GEOS-Chem global chemistry transport model with inclusion of GOSAT data for 2010 to 2022 on a 4 x 5 degree (lat/lon) grid",
+ "img": {
+ "src": new URL('../../datasets/media/oco2-mip-ch4budget-yeargrid-v1--cover.jpg', import.meta.url).href,
+ "alt": "Dried/Burned trees"
+ },
+ "link": {
+ "url": "/data-catalog/gosat-based-ch4budget-yeargrid-v1",
+ "text": "See more"
+ },
+ "footer": null
+ }
+]
diff --git a/stories/methane/media/EMIT_story_card.png b/stories/methane/media/EMIT_story_card.png
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diff --git a/stories/methane/media/Wetlands_image_v2_rs.png b/stories/methane/media/Wetlands_image_v2_rs.png
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diff --git a/stories/modeling-natural-methane-emissions.stories.mdx b/stories/modeling-natural-methane-emissions.stories.mdx
new file mode 100644
index 000000000..d7a68d4b9
--- /dev/null
+++ b/stories/modeling-natural-methane-emissions.stories.mdx
@@ -0,0 +1,113 @@
+---
+id: 'modeling-natural-methane-emissions'
+name: Models and Observations Combine to Uncover Drivers of Natural Methane Emissions
+description: 'Major natural sources of methane, like wetlands, create complications in identifying types and quantities of emissions. Researchers from NASA and NOAA are using advanced technology and models to deepen understanding of the role of natural sources and sinks in global atmospheric concentrations and support improved estimates in the global methane budget.'
+media:
+ src: ::file ./media/Wetlands_image_v2_rs.png
+ alt: view of wetland and brush/forest area from above
+ author:
+ name: Piotr Krzeslak
+ url: https://stock.adobe.com/images/aerial-landscape/169488788
+featured: true
+pubDate: 2024-12-05
+taxonomy:
+ - name: Topics
+ values:
+ - Methane
+ - Natural Emissions and Sinks
+ - name: Gas
+ values:
+ - CH₄
+---
+
+
+
+ Increasing methane in the atmosphere, whether from fossil fuels, landfills, grazing animals, wetlands, or wildfires, has the same effect no matter the source: The potent greenhouse gas is a major contributor to rising global temperatures.
+
+ As stakeholders – from facility operators to land managers to governments – work to reduce these methane emissions, however, knowing their source becomes key to tracking success. The U.S. Greenhouse Gas Center portal houses several complementary resources to identify sources and estimated levels of atmospheric methane.
+
+ About a third of methane emissions are from wetlands, generated naturally as a byproduct of microbes in oxygen-depleted soils. That microscopic level is where researcher Ben Poulter, of NASA’s Goddard Space Flight Center in Greenbelt, Maryland, started building the NASA Wetlands Methane Emissions Model, which incorporates satellite observations, measurements from field campaigns such as [BlueFlux](https://science.nasa.gov/science-research/earth-science/nasas-blueflux-campaign-supports-blue-carbon-management-in-south-florida/), and information about weather patterns.
+
+ “We rely on understanding the mechanics of how microbes produce methane, and how that’s related to temperature, moisture, soil type, etc.,” Poulter said. “The goal is to help us understand how much methane is coming from global wetlands, and then use that information to look at whether changes in temperature are influencing that trend.”
+
+
+
+
+ Wetlands, like this mangrove forest in south Florida that was one of the sites of NASA’s Blue Flux field campaign, are a major natural source of methane emissions, generated by microbes in the water-logged and oxygen depleted soils. Scientists use a variety of tools to measure how these sources contribute to the global methane budget, including the NASA Wetland Methane Emissions Model available in the U.S. Greenhouse Gas Center.
+
+
+
+ In the tropics, microbes become more active when temperatures are higher, and wetter conditions lead to more flooding and therefore more oxygen-depleted soils. In the Arctic, thawing permafrost frees up buried carbon that had previously been frozen in place and inaccessible to microbes.
+
+ If wetlands are producing more methane as temperatures rise, that increase in emissions could dampen some of the progress made by reducing emissions from sources related to human activities.
+
+ “I think it emphasizes the need to take an Earth system perspective on the global methane budget,” Poulter said. “There are immediate opportunities to address anthropogenic sources, but at the same time, now that we’re seeing farther-reaching temperature impacts on Earth systems, we need to keep track of the more natural sources of greenhouse gasses as well.”
+
+
+
+
+ This animation produced by NASA’s Wetland Methane Emissions Model shows concentrated methane sources from tropical and high latitude ecosystems. The model is regularly used to simulate the impact of wetlands and other method sources on atmospheric methane concentrations, compare against satellite and airborne data, and to improve understanding and prediction of wetland emissions.
+
+
+
+ While the wetlands methane model starts, literally, from the ground up, other models – such as NOAA’s Carbon Tracker Methane Emissions – take the opposite approach. This methane tracker ingests atmospheric greenhouse gas concentration data along with other conditions like winds and weather and then estimates emissions, said Lori Bruhwiler, a physical scientist with NOAA’s Global Monitoring Laboratory in Boulder, Colorado.
+
+ “We’re not trying to forecast the future concentrations of methane, instead these numerical techniques go back in time to find the distribution and fluxes of methane sources over the past several decades,” Bruhwiler said.
+
+ NOAA also has a tool to track carbon dioxide (CO₂) emissions, but methane is such a different compound that it needs its own specific model, she said. Once in the atmosphere, CO2 is very stable and can last for 300 to 1,000 years. Methane, on the other hand, reacts with other gasses in the atmosphere and is removed by atmospheric chemistry, resulting in an atmospheric half-life of about 10 years.
+
+ “That’s why there’s so much attention on methane,” Bruhwiler said. “If emissions decrease, and what’s already there is removed within 10 years, there can be a near term benefit of avoided temperature increases.”
+
+ This effort, however, is complicated by the numerous sources of methane. Emissions are the result of unintentional oil and gas pipeline or coal mine leaks, agricultural sources (livestock and rice), landfills, sewage waste, reservoirs, wildfires, wetlands and permafrost thawing – it’s a challenge to determine the budget of what is from natural sources, and what is human-caused, she said.
+
+
+
+
+ Wildfires just northwest of California's Eagle Lake and Honey Lake (far left) are pictured from the International Space Station as it orbited 260 miles above The Golden State (Aug. 7, 2024). Wildfires are a natural source of pyrogenic methane emissions which contribute to global atmospheric concentrations of the gas.
+
+
+
+ While NOAA’s model uses information from a global network of surface sampling sites, other models take a space-based vantage point and utilize satellite observations to fill in gaps in data. NASA's Carbon Monitoring System Flux team in partnership with Harvard University uses measurements from Japan’s Greenhouse Gases Observing Satellite, or GOSAT, to derive spatially-resolved estimates of total global methane emissions, as well as source-specific estimates for wetlands and various human-related emissions.
+
+ Quantifying different forms of methane to help decipher their source is critically important to understand global trends in methane. As researchers develop innovative and complementary models and methods of observation, they gain new insights into the complex balance of natural and human-caused sources of methane.
+
+ Findings also contribute to cooperative international research efforts like the Global Carbon Project’s [Global Methane Budget](https://www.globalcarbonproject.org/methanebudget/), and allow decision-makers to track progress of initiatives including the [Global Methane Pledge](https://www.globalmethanepledge.org/), in which more than 150 countries committed to reducing methane emissions by 30 percent of 2020 levels by the end of the decade.
+
+
+
+
+
+
+
+ **Author:**
+ *Kate Ramsayer, NASA Goddard Space Flight Center*
+
+
+
+
+
+
+
+ ## Resources for Data Users
+ - Detailed information for NASA’s Wetland Methane Emissions dataset: Wetland Methane Emissions, LPJ-EOSIM Model
+ - Detailed information for NOAA’s Carbon Tracker Methane Emissions dataset: CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes
+ - Detailed information for the GOSAT dataset: GOSAT-based Top-down Total and Natural Methane Emissions
+
+
+
diff --git a/stories/newyork.stories.mdx b/stories/newyork.stories.mdx
index 3cb86d63e..b6d9a403e 100644
--- a/stories/newyork.stories.mdx
+++ b/stories/newyork.stories.mdx
@@ -3,7 +3,6 @@ id: "newyork"
name: "New York City Researchers Take to the Street to Investigate Emissions"
description: "Researchers are working with the New York State Energy Research & Development Authority to improve emissions estimates by combining measurements from a network of sensors across NYC with data collected by satellites and aircraft, pinpoint unidentified or incorrectly cataloged sources of GHGs and study interactions with other air pollutants."
isHidden: false
-featured: true
media:
src: ::file ./media/newyork_banner.png
alt: New York City
@@ -14,14 +13,15 @@ pubDate: 2024-09-20
taxonomy:
- name: Topics
values:
+ - Methane
- Urban
- name: Gas
values:
- CO₂
- CH₄
- NOₓ
- - SO₂
- PM2.5
+ - SO₂
---
diff --git a/stories/nist-methane-intercomparisons.stories.mdx b/stories/nist-methane-intercomparisons.stories.mdx
new file mode 100644
index 000000000..cbbff37f3
--- /dev/null
+++ b/stories/nist-methane-intercomparisons.stories.mdx
@@ -0,0 +1,163 @@
+---
+id: 'nist-methane-intercomparisons'
+name: NIST Developing Consensus Standards for Growing Volume of Methane Plume Satellite Data
+description: 'Methane measurements have seen a boom in data volume within the last decade as remote sensing technologies have advanced and new space-based instruments have taken flight. To support greater transparency and interoperability, NIST is leading an effort to standardize protocols for methane plume data reporting, processing, and comparison.'
+media:
+ src: ::file ./methane/media/NIST_Methane_Intercomparisons_card.png
+ alt: Image of plume from EMIT and AVIRIS-3 showing image swath width for each.
+ author:
+ name: NASA/JPL-Caltech. Example methane plumes as observed with EMIT and AVIRIS-3.
+ EMIT perched on the International Space Station provides an 80 km wide image swath at 60 m spatial resolution,
+ and AVIRIS-3 provides a narrower 3 km swath at 2 m spatial resolution when flying at 13,000 ft (figure is not to scale).
+isHidden: false
+pubDate: 2024-12-05
+featured: true
+taxonomy:
+ - name: Topics
+ values:
+ - Large Emission Events
+ - Methane
+ - name: Gas
+ values:
+ - CH₄
+---
+
+import Quote from "./components/quote";
+
+
+
+ Innovations in remote sensing technology and growing interest from the private sector in more efficient management of emissions have spawned a new generation of space-based observation technologies and data providers.
+
+ With an ever-growing volume of methane data from remote sensing technologies comes new challenges in consistent and transparent use of these measurements. In response to this, a team at the National Institute for Standards and Technology (NIST) is working closely with data providers on a project to standardize protocols for methane point source data reporting, processing, and comparison.
+
+ These efforts could serve as the foundation for greater transparency and interoperability of data, sparking new insights into the complex emissions and rising atmospheric concentrations of methane.
+
+
+
+
+
+ ## The Rapid Growth of Methane Remote Sensing
+ Methane measurements have seen a boom in data volume within the last decade as remote sensing technologies have advanced and new space-based instruments – from civil space agencies, nonprofits, and commercial companies – have taken flight to provide global views of methane emissions.
+
+ NASA’s Earth Surface Mineral Dust Source Investigation ([EMIT](https://earth.jpl.nasa.gov/emit/)) instrument, for example, was installed on the International Space Station in 2022. EMIT began as a mineral dust source observation experiment, though it was announced in November 2024 that the mission had been extended for three years and expanded its scope to include global detection of highly-concentrated methane plumes from point sources.
+
+ Non-governmental satellites are also bringing innovative monitoring technologies to the table. Methane data from [GHGSat](https://www.ghgsat.com/en/), a commercial data provider specializing in high-resolution remote sensing of greenhouse gasses, was evaluated and verified by NASA’s Commercial Small Dataset Acquisition program, receiving approval in July 2024. Selected data is now available via the agency’s Earthdata portal.
+
+ The [Carbon Mapper](https://carbonmapper.org/) Coalition’s first satellite, Tanager-1, was launched in August 2024 as part of a philanthropically-backed, public-private partnership to develop and deploy methane and carbon dioxide detecting satellites. Built and operated by Planet Labs PBC with technology from NASA Jet Propulsion Laboratory (JPL), Tanager-1 offers granularity on sources of super-emitters around the world, driving direct actions to cut methane emissions.
+
+ To scale these local mitigation successes globally, the nonprofit Carbon Mapper is making methane and CO2 emissions data from Tanager-1 publicly available on its data portal for non-commercial use 30 days after collection. An initial set of detections using Tanager-1 were released on Carbon Mapper’s data portal in November 2024, adding to their public emissions data from airborne surveys as well as NASA’s EMIT instrument.
+
+
+
+
+
+
+
+ Left: A large methane plume from a leaking oil and gas pipeline was detected by Tanager-1 in the Texas Permian Basin on October 9, 2024. The plume was reported and the leak was voluntarily fixed by the operator. Right: A subsequent Tanager-1 observation on October 24, 2024 detected no methane.
+
+
+
+
+
+
+ The NIST-led effort to establish consensus standards for remote sensing of point sources contributes to the broader ecosystem of methane observations, including efforts to improve emissions quantification across multiple scales.
+
+ Earlier this year, a new satellite dedicated to tracking methane emissions took to orbit. Launched in March 2024, the [MethaneSAT](https://www.methanesat.org/) project is led by the nonprofit Environmental Defense Fund and supported by experts from private organizations including Harvard and Google.
+
+ Whereas a global mapper can see images of a broad area to learn about large scale emissions, and “point source” detectors focus on a much smaller field of view for high-resolution plume observations, MethaneSAT looks at an intermediate spatial scale level that includes point source contributions to wider area emissions.
+
+ The combination of these new observations from space-based instruments offers a more complete view of methane emissions than ever before.
+
+ {/* Professor Steve Wofsy is a Harvard scientist working on the MethaneSAT project. Of the surge of new space-based instruments, he said, “With a global mapper, you can see images of a broad area that can be used to learn about large scale emissions. Other missions are what we call ‘point source’ detectors; they have a much smaller field of view and can see plumes. MethaneSAT bridges the gap by looking at the region, not the whole globe.” */}
+
+
+
+
+
+
+
+
+ MethaneSAT is measuring emissions over a wide view path, assessing point sources of methane to demonstrate trends in methane concentration over time.
+
+
+
+
+
+{/*
+
+ The combination of these new observations offers a more complete view of methane emissions than ever before, explained Wofsy. “Any one of these independent approaches can work really well. All taken together, they have the capability of providing a comprehensive global dataset to understand methane emissions.”
+
+ */}
+
+
+
+ ## Setting the Stage for Operational Data and Services
+ New measurements offer increased opportunities for monitoring and reporting methane emissions. In a general sense, more data is better; however, proper context is required to optimize use of all of these datasets.
+
+ Observations from different platforms are characterized by subtle differences in spatial resolution and sensitivity to atmospheric factors like clouds and particles that can influence measurement quality. Interpreting the data also involves assumptions about wind direction and speed which transport the methane from its point source. Annmarie Eldering, an environmental engineer at NIST, said this is where the challenge lies.
+
+
+
+
+
+
+
+
+
+
+
+
+ This is the focus of a methane intercomparison project led by Eldering. NIST is working with scientists across a range of government, nonprofit, and commercial data providers, including EMIT, GHGSat, Carbon Mapper, and MethaneSAT, to understand and foster alignment in how methane plume detection and quantification with remote sensing is performed.
+
+ This effort includes defining common language used to describe data, establishing consensus for data formatting and validation, and collaboratively developing and documenting intercomparison techniques.
+
+ “As the volume of available methane data grows at exponential rates, this standardization is critical to enable trustworthiness and usability,” said Eldering.
+
+ As the methane intercomparison project progresses, Eldering hopes it will lead to a transparency portal for data providers, where science teams can prepare and share material to show steps in their analysis process and a wider working group can then analyze a benchmark set of measurement data to try to replicate the analysis. This type of analysis and complete documentation is key to achieving consensus standards.
+
+ The transparency of established standards allows users to work with data with the knowledge that providers have followed consensus protocols, a particular challenge when using private space observations whose algorithms are often proprietary and not publicly disclosed.
+
+ Common language, formatting and validation of methane measurements will make data products more accessible and useful to the broader community, and may support interoperable use of multiple satellite datasets to provide more comprehensive observations. These efforts benefit both users of GHG information by helping them understand the benefits of different products and private data and service providers by enabling them to serve customers more efficiently.
+
+
+
+
+
+ **Author:**
+ *Emily Bell, NASA Goddard Space Flight Center*
+
+
+
+
+
+ ## Resources for Data Users
+ - Detailed dataset information: EMIT Methane Point Source Plume Complexes
+ - Information on GHGSat data available through NASA: CSDA Vendor - GHGSat
+ - Visit the Carbon Mapper data portal
+ - Visit the MethaneSAT data portal
+
+
+
+
+
+ ## References
+ Atmospheric Chemistry and Physics (2022), [Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane](https://acp.copernicus.org/articles/22/9617/2022/acp-22-9617-2022.pdf)
+
+
diff --git a/stories/nist-urban-testbeds.stories.mdx b/stories/nist-urban-testbeds.stories.mdx
index e6f64d280..22e843345 100644
--- a/stories/nist-urban-testbeds.stories.mdx
+++ b/stories/nist-urban-testbeds.stories.mdx
@@ -13,13 +13,14 @@ pubDate: 2024-09-20
taxonomy:
- name: Topics
values:
- - Urban
- Anthropogenic Emissions
+ - Methane
+ - Urban
- name: Gas
values:
+ - CO
- CO₂
- CH₄
- - CO
---
import Quote from "./components/quote";
diff --git a/stories/tracking-greenhouse-gas-cycles.stories.mdx b/stories/tracking-greenhouse-gas-cycles.stories.mdx
index a995b429e..52597e326 100644
--- a/stories/tracking-greenhouse-gas-cycles.stories.mdx
+++ b/stories/tracking-greenhouse-gas-cycles.stories.mdx
@@ -12,11 +12,12 @@ pubDate: 2023-08-30
taxonomy:
- name: Topics
values:
+ - Methane
- Natural Emissions and Sinks
- name: Gas
values:
- - CO₂
- CH₄
+ - CO₂
---
diff --git a/stories/urban.stories.mdx b/stories/urban.stories.mdx
index fe737d17f..37250c876 100644
--- a/stories/urban.stories.mdx
+++ b/stories/urban.stories.mdx
@@ -2,20 +2,6 @@
id: "urban"
name: "Topic: Urban Emissions"
isHidden: true
-# media:
-# src: ::file ./media/total-methane-2020.png
-# alt: Map of total U.S. gridded methane emissions in the year 2020
-# author:
-# name: Environmental Protection Agency
-# url: "https://www.epa.gov"
-# pubDate: 2024-09-20
-# taxonomy:
-# - name: Topics
-# values:
-# - Anthropogenic Emissions
-# - name: Gas
-# values:
-# - CH₄
---
import Cmp from "./urban/component"
diff --git a/stories/us-methane-sources.stories.mdx b/stories/us-methane-sources.stories.mdx
index e10c70050..02b539cab 100644
--- a/stories/us-methane-sources.stories.mdx
+++ b/stories/us-methane-sources.stories.mdx
@@ -13,6 +13,7 @@ taxonomy:
- name: Topics
values:
- Anthropogenic Emissions
+ - Methane
- name: Gas
values:
- CH₄
diff --git a/stories/vulcan.stories.mdx b/stories/vulcan.stories.mdx
index 8b24b8308..ea9efc1a1 100644
--- a/stories/vulcan.stories.mdx
+++ b/stories/vulcan.stories.mdx
@@ -14,8 +14,8 @@ isHidden: false
taxonomy:
- name: Topics
values:
- - Urban
- Anthropogenic Emissions
+ - Urban
- name: Gas
values:
- CO₂
diff --git a/veda.config.js b/veda.config.js
index 9a54d3286..e751b0eeb 100644
--- a/veda.config.js
+++ b/veda.config.js
@@ -90,7 +90,7 @@ module.exports = {
"This dashboard is for exploring key datasets that provide insight into greenhouse gas sources, sinks, emissions, fluxes, and events.",
// Temporary Banner Text/URL/expiry
tempBanner:
- "Read the new data insight on using EMIT and AVIRIS-3 for monitoring large methane emission events.",
+ "Read the new story on using EMIT and AVIRIS-3 for monitoring large methane emission events.",
tempBannerUrl:
"stories/emit-and-aviris-3",
tempBannerExpires:
