Content changes (#660)

Must do:
- [x] LPJ update message
(US-GHG-Center/ghgc-architecture#412)
- [x] Remove tagline from homepage banner
- [x] Remove tagline from About page banner subtitle (leave subtitle
blank)
- [x] Change 'Global' to 'Contiguous United States' for GRA2PES layer
metadata in E&A

Nice to have:
- [ ] Update logo placement on banner images
(US-GHG-Center/ghgc-architecture#367)
- [ ] Use newly scaled GRA2PES data for home page carousel image
@rwyatt19
- [ ] Use newly scaled data for GRA2PES story banner image & dataset
overview page banner image @rwyatt19
- [ ] Improve resolution of NYC story banner image @rwyatt19 
- [x] Update 'Data Insight' > 'Story' on all overview pages
- [ ] Check site for 'Learn' > 'News & Announcements'
- [x] Remove period from end of EPA dataset short description

datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx

@@ -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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Data Insight</Link>
+    - 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>
     - Check out the [ECCO-Darwin Story Map](https://www.ecco-group.org/storymaps.htm?id=45)
 
     ## Acknowledgment

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
@@ -2655,7 +2655,7 @@ 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 <Link to="/stories/us-methane-sources">U.S. Gridded Anthropogenic Greenhouse Gas Emissions Data Insight</Link> 
+    - 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>
 

datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx

@@ -424,7 +424,7 @@ layers:
 
     ## 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 Data Insight</Link>
+    - 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>
 
     ## 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.

datasets/gra2pes-co2-monthgrid-v1.data.mdx

@@ -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:

datasets/lpjeosim-wetlandch4-grid-v1.data.mdx

@@ -323,6 +323,10 @@ layers:
 
 <Block>
   <Prose>
+    <div style={{ border: '2px solid black', padding: '10px', display: 'inline-block', color: 'black', backgroundColor: '#d4f1f9' }}>
+      <span style={{ color: 'red', fontWeight: 'bold' }}>Notice:</span>
+      Due to issues with the ERA5 driver, LPJ-EOSIM ERA5 and ensemble mean estimates of wetland methane have been revised as of November 14, 2024, effective from July 1, 2024. If data was obtained prior to November 14, 2024, we recommend re-downloading data from July 1, 2024 onward.
+    </div>
     **Temporal extent:** January 1, 1990 - ongoing<br /> 
     **Temporal resolution:** Daily and Monthly     
     **Spatial extent:** Global    
@@ -351,6 +355,9 @@ 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 issues with the ERA5 driver, LPJ-EOSIM ERA5 and ensemble mean estimates of wetland methane have been revised as of November 14, 2024, effective from July 1, 2024. If data was obtained prior to November 14, 2024, we recommend re-downloading data from July 1, 2024 onward.
+
+
     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. 

datasets/micasa-carbonflux-daygrid-v1.data.mdx

@@ -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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Data Insight.</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.   
+    - 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
     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/).

datasets/noaa-cpfp-ch4-point.data.mdx

@@ -185,7 +185,7 @@ 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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Data Insight</Link>
+    - 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)    
 
     ## Acknowledgment

datasets/oco2geos-co2-daygrid-v10r.data.mdx

@@ -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 <Link to={"/stories/tracking-greenhouse-gas-cycles"}>Tracking Greenhouse Gas Cycles Data Insight</Link>
+    - 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/)
 
     ## Acknowledgment

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: