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US-GHG-Center · Nov 18, 2024 · 2753931 · 2753931
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diff --git a/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx b/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
@@ -140,8 +140,8 @@ 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
 
-    ## News & Announcements
-    - See a video animation of ECCO-Darwin CO₂ flux data in the <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Story</Link>
+    ## Learn More
+    - See a video animation of ECCO-Darwin CO₂ flux data in the <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Data Insight</Link>
     - 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
@@ -113,7 +113,7 @@ layers:
   <Figure>
     <Embed
       height="800"
-      src="https://earth.gov/ghgcenter/custom-interfaces/emit-ch4plume-v1"
+      src="https://staging.earth.gov/ghgcenter/custom-interfaces/emit-ch4plume-v1"
     />
   </Figure>
 </Block>
@@ -151,7 +151,7 @@ layers:
 
     D. H. Cusworth, A. K. Thorpe, A. K. Ayasse, D. Stepp, J. Heckler, G. P. Asner, C. E. Miller, V. Yadav, J. W. Chapman, M. L. Eastwood, R. O. Green, B. Hmiel, D. R. Lyon, R. M. Duren, Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States. *Proceedings of the National Academy of Sciences. 119*, e2202338119 (2022).
 
-    ## News & Announcements
+    ## Learn More
     - 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 <Link to={"/stories/discovering-large-methane-emissions"}>Discovering Large Methane Emission Events with Remote Measurement story</Link>

diff --git a/datasets/epa-ch4emission-yeargrid-v2express.data.mdx b/datasets/epa-ch4emission-yeargrid-v2express.data.mdx
@@ -2606,7 +2606,7 @@ layers:
 
     The gridded EPA U.S. anthropogenic methane greenhouse gas inventory (gridded GHGI) includes spatially disaggregated (0.1 deg x 0.1 deg or approximately 10 x 10 km resolution) maps of annual anthropogenic methane emissions for the contiguous United States (CONUS), consistent with national annual U.S. anthropogenic methane emissions reported in the U.S. EPA [Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks) (U.S. GHGI). This dataset contains methane emissions provided as fluxes, in units of molecules of methane per square cm per second, for over 25 individual emission source categories, including those from agriculture, petroleum and natural gas systems, coal mining, and waste. The data have been converted from their original NetCDF format to Cloud-Optimized GeoTIFF (COG) and scaled to Megagrams of CH₄ per km² per year (Mg/km²/yr) for use in the US GHG Center, thereby enabling user exploration of spatial anthropogenic methane emissions and their trends.
 
-    The gridded dataset, as included in the <Link to="/exploration?search=epa-ch4emission-yeargrid-v2express&datasets=%5B%5D">U.S. GHG Center Exploration Environment,</Link> currently includes 34 data layers. The first data layer includes annual 2012-2020 gridded methane emissions fluxes from all anthropogenic sources of methane in the U.S. GHGI (excluding Land Use, Land-Use Change and Forestry (LULUCF) sources, which are not included in the gridded GHGI). The next six data layers include annual 2012-2020 gridded methane fluxes from sources within the aggregate Agriculture, Natural Gas, Petroleum, Waste, Industry, and ‘Other’ source categories. The remaining 27 data layers include annual 2012-2020 gridded methane emissions fluxes from individual emission sectors within each of the aggregate categories. For more information, see the ‘information’ icon on each data layer or refer to the data interpretation notes available under “News & Announcements” below.
+    The gridded dataset, as included in the <Link to="/exploration?search=epa-ch4emission-yeargrid-v2express&datasets=%5B%5D">U.S. GHG Center Exploration Environment,</Link> currently includes 34 data layers. The first data layer includes annual 2012-2020 gridded methane emissions fluxes from all anthropogenic sources of methane in the U.S. GHGI (excluding Land Use, Land-Use Change and Forestry (LULUCF) sources, which are not included in the gridded GHGI). The next six data layers include annual 2012-2020 gridded methane fluxes from sources within the aggregate Agriculture, Natural Gas, Petroleum, Waste, Industry, and ‘Other’ source categories. The remaining 27 data layers include annual 2012-2020 gridded methane emissions fluxes from individual emission sectors within each of the aggregate categories. For more information, see the ‘information’ icon on each data layer or refer to the data interpretation notes available under “Learn More” below.
 
     ## Source Data Product Citation
     Gridded GHGI Version 2 & Express Extension **(this dataset in US GHG Center)**: 
@@ -2654,7 +2654,7 @@ layers:
     ## Other Relevant Publications
     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
 
-    ## News & Announcements
+    ## Learn More
     - Learn more about how this data helps identify trends in U.S. methane emissions in the <Link to="/stories/us-methane-sources">U.S. Gridded Anthropogenic Greenhouse Gas Emissions Story</Link> 
     - 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 <Link to="/exploration?search=epa-ch4emission-yeargrid-v2express&datasets=%5B%5D">Exploration environment</Link>

diff --git a/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx b/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
@@ -422,7 +422,7 @@ 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)
 
-    ## News & Announcements
+    ## 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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Story</Link>
 

diff --git a/datasets/gra2pes-co2-monthgrid-v1.data.mdx b/datasets/gra2pes-co2-monthgrid-v1.data.mdx
@@ -430,7 +430,7 @@ layers:
 
     Zhu, Q., Schwantes, R. H., Coggon, M., Harkins, C., Schnell, J., He, J., Pye, H. O. T., Li, M., Baker, B., Moon, Z., Ahmadov, R., Pfannerstill, E. Y., Place, B., Wooldridge, P., Schulze, B. C., Arata, C., Bucholtz, A., Seinfeld, J. H., Warneke, C., Stockwell, C. E., Xu, L., Zuraski, K., Robinson, M. A., Neuman, J. A., Veres, P. R., Peischl, J., Brown, S. S., Goldstein, A. H., Cohen, R. C., & McDonald, B. C. (2024). A better representation of volatile organic compound chemistry in WRF-Chem and its impact on ozone over Los Angeles. *Atmos. Chem. Phys., 24*(9), 5265-5286. [https://doi.org/10.5194/acp-24-5265-2024](https://doi.org/10.5194/acp-24-5265-2024)
 
-    ## News & Announcements
+    ## Learn More
     - <Link to="/stories/gra2pes">Learn more </Link>about how GRA²PES combines GHG and air quality pollution sources into a single useful research database
 
     ## Acknowledgment

diff --git a/datasets/influx-testbed-co2-and-ch4-concentrations.data.mdx b/datasets/influx-testbed-co2-and-ch4-concentrations.data.mdx
@@ -152,7 +152,7 @@ layers:
 
     For a complete listing of related publications, please visit: [https://sites.psu.edu/influx/publications/](https://sites.psu.edu/influx/publications/)
 
-    ## News & Announcements
+    ## Learn More
     - Check out the <Link to="/stories/urban-testbed">US GHG Center feature story </Link>on the NIST Urban GHG Measurements Test Bed System
     - Learn more about INFLUX at the [Penn State website](https://sites.psu.edu/influx/)
     - Learn more about the [Urban Test Bed System at NIST’s website](https://www.nist.gov/greenhouse-gas-measurements/urban-test-beds) 

diff --git a/datasets/lam-testbed-co2-and-ch4-concentrations.data.mdx b/datasets/lam-testbed-co2-and-ch4-concentrations.data.mdx
@@ -156,7 +156,7 @@ layers:
 
     Ware, J., Kort, E. A., Duren, R., Mueller, K. L., Verhulst, K., & Yadav, V. (2019). Detecting Urban Emissions Changes and Events With a Near-Real-Time-Capable Inversion System. *JGR Atmospheres, 124*(9), 5117-5130. [https://doi.org/10.1029/2018JD029224](https://doi.org/10.1029/2018JD029224)
 
-    ## News & Announcements
+    ## Learn More
     - Check out the <Link to="/stories/urban-testbed">US GHG Center feature story </Link>on the NIST Urban GHG Measurements Test Bed System
     - Learn more about the [Urban Test Bed System at NIST’s website](https://www.nist.gov/greenhouse-gas-measurements/urban-test-beds)
 

diff --git a/datasets/lpjeosim-wetlandch4-grid-v1.data.mdx b/datasets/lpjeosim-wetlandch4-grid-v1.data.mdx
@@ -391,7 +391,7 @@ layers:
 
     Zhang, Z., Zimmermann, N. E., Kaplan, J. O., & Poulter, B. (2016). Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties. *Biogeosciences, 13*(5), 1387–1408. [https://doi.org/10.5194/bg-13-1387-2016](https://doi.org/10.5194/bg-13-1387-2016)
 
-    ## News & Announcements
+    ## Learn More
     - See a video of methane emissions from wetlands around the globe in the <Link to={"/stories/intro-us-ghg-center"}>Intro to the US GHG Center story</Link>
     - See how wetlands in the tropics and in higher latitude areas differ in their contribution to global wetland methane emissions in the <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles story</Link>
 

diff --git a/datasets/micasa-carbonflux-daygrid-v1.data.mdx b/datasets/micasa-carbonflux-daygrid-v1.data.mdx
@@ -822,7 +822,7 @@ 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)
 
-    ## News & Announcements
+    ## Learn More
     - Compare the difference in Net Ecosystem Exchange (NEE) between January and July 2011 in the <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Story.</Link> 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

diff --git a/datasets/nec-testbed-co2-and-ch4-concentrations.data.mdx b/datasets/nec-testbed-co2-and-ch4-concentrations.data.mdx
@@ -148,7 +148,7 @@ layers:
 
     Gourdji, S. M., Karion, A., Lopez-Coto, I., Ghosh, S., Mueller, K. L., Zhou, Y., Williams, C. A., Baker, I. T., Haynes, K. D., & Whetstone, J. R. (2021). A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models. *JGR Biogeosciences, 127*(1), e2021JG006290. [https://doi.org/10.1029/2021JG006290](https://doi.org/10.1029/2021JG006290)  
 
-    ## News & Announcements
+    ## Learn More
     - Check out the <Link to="/stories/urban-testbed">US GHG Center feature story </Link>on the NIST Urban GHG Measurements Test Bed System
     - Learn more about the [Urban Test Bed System at NIST’s website](https://www.nist.gov/greenhouse-gas-measurements/urban-test-beds)
 

diff --git a/datasets/noaa-cpfp-ch4-point.data.mdx b/datasets/noaa-cpfp-ch4-point.data.mdx
@@ -183,7 +183,7 @@ layers:
 
     Thoning, K.W., Tans, P.P., & Komhyr, W.D. (1989). Atmospheric carbon dioxide at Mauna Loa Observatory 2.  Analysis of the NOAA GMCC Data, 1974-1985, *J. Geophys. Res., 94*, 8549-8565. [https://doi.org/10.1029/JD094iD06p08549](https://doi.org/10.1029/JD094iD06p08549)
 
-    ## News & Announcements
+    ## 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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Story</Link>
     - [Learn more about the Global Greenhouse Gas Reference Network (GGGRN)](https://gml.noaa.gov/ccgg/about.html)    

diff --git a/datasets/noaa-cpfp-co2-point.data.mdx b/datasets/noaa-cpfp-co2-point.data.mdx
@@ -185,7 +185,7 @@ layers:
 
     Zhao, C., & Tans,P. P. (2006). Estimating uncertainty of the WMO Mole Fraction Scale for carbon dioxide in air. *J. Geophys. Res. 111*, D08S09. [https://doi.org/10.1029/2005JD006003](https://doi.org/10.1029/2005JD006003)
 
-    ## News & Announcements
+    ## Learn More
     - [View current trends in CO₂](https://gml.noaa.gov/ccgg/trends/) powered by NOAA data 
     - See NOAA’s observations of CO₂ at the Mauna Loa Observatory featured in the <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles story</Link>
     - [Learn more about the Global Greenhouse Gas Reference Network (GGGRN)](https://gml.noaa.gov/ccgg/about.html)

diff --git a/datasets/oco2geos-co2-daygrid-v10r.data.mdx b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
@@ -148,7 +148,7 @@ layers:
 
     Yuen, K. (n.d.). *Home*. Orbiting Carbon Observatory-2. [https://ocov2.jpl.nasa.gov/](https://ocov2.jpl.nasa.gov/)    
 
-    ## News & Announcements
+    ## Learn More
     - Learn more about how OCO-2 observations and measurements from other satellites contribute to GHG monitoring and models in the <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Story</Link>
     - Learn more about the [OCO-2 mission](https://ocov2.jpl.nasa.gov/)
 

diff --git a/datasets/odiac-ffco2-monthgrid-v2023.data.mdx b/datasets/odiac-ffco2-monthgrid-v2023.data.mdx
@@ -158,7 +158,7 @@ layers:
 
     Hefner, M., Marland, G., Boden, T. and Andres, R. (2022). *Global, Regional, and National Fossil-Fuel CO₂ Emissions: 1751-2019*. CDIAC-FF, Research Institute for Environment, Energy, and Economics, Appalachian State University. [https://energy.appstate.edu/cdiac-appstate/data-products](https://energy.appstate.edu/cdiac-appstate/data-products)
 
-    ## News & Announcements
+    ## Learn More
     - See ODIAC data visualized by [NASA’s Scientific Visualization Studio](https://svs.gsfc.nasa.gov/5121/)
 
     ## Acknowledgment

diff --git a/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx b/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
@@ -134,7 +134,7 @@ layers:
 
     Center for International Earth Science Information Network (CIESIN), Columbia University. (2018). Gridded population of the world, version 4 (GPWv4): Log of changes to the data sets by version [text file]. SEDAC. [https://sedac.ciesin.columbia.edu/binaries/web/sedac/collections/gpw-v4/gpw-v4-change-log-rev11.txt](https://sedac.ciesin.columbia.edu/binaries/web/sedac/collections/gpw-v4/gpw-v4-change-log-rev11.txt)
 
-    ## News & Announcements
+    ## Learn More
     - Learn about the [latest release of the Gridded Population of the World (GPW)](https://www.earthdata.nasa.gov/news/new-gpw-release) data collection
     - Learn about the role of socioeconomic data in [NASA’s Greenhouse Gases Data Pathfinder](https://www.earthdata.nasa.gov/learn/pathfinders/greenhouse-gases-data-pathfinder/find-data#socioeconomic)
 

diff --git a/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx b/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx
@@ -325,7 +325,7 @@ layers:
 
     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)
 
-    ## News & Announcements
+    ## Learn More
     - 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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles story</Link>
 

diff --git a/datasets/vulcan-co2-yeargrid-v4.data.mdx b/datasets/vulcan-co2-yeargrid-v4.data.mdx
@@ -711,7 +711,7 @@ layers:
     ## Other Relevant Publications
     Gurney, K. R., Mendoza, D. L., Zhou, Y., Fischer, M. L., Miller, C. C., Geethakumar, S., de la Rue du Can, S. (2009). High Resolution Fossil Fuel Combustion CO₂ Emission Fluxes for the United States. *Environmental Science & Technology, 43*(14), 5535-5541. [https://doi.org/10.1021/es900806c](https://doi.org/10.1021/es900806c)
 
-    ## News & Announcements
+    ## Learn More
     - Learn more about how decision-makers and researchers <Link to="/stories/vulcan">can leverage Vulcan data</Link>
     - Learn more about the Vulcan project at the [Vulcan website](https://vulcan.rc.nau.edu/About.html)
 

diff --git a/datasets/vulcan-ffco2-elc-res-yeargrid-v4.data.mdx b/datasets/vulcan-ffco2-elc-res-yeargrid-v4.data.mdx
@@ -149,7 +149,7 @@ layers:
     ## Other Relevant Publications
     Gurney, K. R., Mendoza, D. L., Zhou, Y., Fischer, M. L., Miller, C. C., Geethakumar, S., de la Rue du Can, S. (2009). High Resolution Fossil Fuel Combustion CO₂ Emission Fluxes for the United States. Environmental Science & Technology, 43(14), 5535-5541. [https://doi.org/10.1021/es900806c](https://doi.org/10.1021/es900806c)
 
-    ## News & Announcements
+    ## Learn More
     - Link to Vulcan story (once available)
     - Learn more about the Vulcan project at the [Vulcan website](https://vulcan.rc.nau.edu/About.html)