Content changes for Oct 22

custom-pages/news-and-events/news-page-content.js

@@ -37,6 +37,18 @@ function sortByDateCustom(items) {
 
 
 export const NEWSLETTER_ITEMS = sortByDateDesc([
+  {
+    name: 'October 2024 - US GHG Center Newsletter',
+    asLink : {
+      url: 'https://conta.cc/48jqdkT'
+    },
+    media: {
+      src: new URL('./media/news/newsletter-v1.4.jpg', import.meta.url).href,
+      alt: 'October 2024'
+    },
+    description: 'Volume 1.4, October 2024',
+    date: '2024-10'
+  },
   {
     name: 'May 2024 - US GHG Center Newsletter',
     asLink : {
@@ -164,7 +176,7 @@ export const EVENT_ITEMS = sortByDateCustom([
   {
     name: 'Join the 2nd Annual Stakeholder Forum; Dec 4-5, 2024',
     asLink : {
-      url: 'https://drive.google.com/file/d/1Mkz43d3iP4CfTuBeZXsoO1-fxBRGmmVq/view?usp=sharing'
+      url: 'https://emg-wd.wixsite.com/us-ghg-2024'
     },
     media: {
       src: new URL('./media/events/GHGC_Stakeholder_Forum_Announcement_Image.png', import.meta.url).href,

datasets/emit-ch4plume-v1.data.mdx

@@ -105,7 +105,7 @@ layers:
   <Prose>
     <div style={{ border: '2px solid red', padding: '10px', display: 'inline-block', color: '#1b2631' }}>
       <span style={{ color: 'red', fontWeight: 'bold' }}>Attention!</span>
-      A marker location in the visualization environment below represents the area of maximum enhancement within the plume. The marker does not indicate the plume source.
+      A marker location in the visualization environment below represents the area of maximum enhancement within the plume. The marker does <strong>not</strong> indicate the plume source.
     </div>
   </Prose>
 </Block>

datasets/lpjwsl-wetlandch4-grid-v2.data.mdx → datasets/lpjeosim-wetlandch4-grid-v1.data.mdx

@@ -1,12 +1,12 @@
 ---
-id: lpjeosim-wetlandch4-grid-v2
+id: lpjeosim-wetlandch4-grid-v1
 name: Wetland Methane Emissions, LPJ-EOSIM Model
-description: Global monthly and daily 0.5 degree resolution estimates of wetland methane emissions from the LPJ-EOSIM model, version 2
+description: Global monthly and daily 0.5 degree resolution estimates of wetland methane emissions from the LPJ-EOSIM model, version 1
 usage:
   - 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%2Flpjeosim-wetlandch4-grid-v2_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%2Flpjeosim-wetlandch4-grid-v1_User_Notebook.ipynb&branch=main'
     label: Run example notebook
     title: Interactive Session in the US GHG Center JupyterHub (requires account)
   - url: https://search.earthdata.nasa.gov/search?q=LPJ-EOSIM
@@ -43,7 +43,7 @@ infoDescription: |
 
 layers:
   - id: ch4-wetlands-emissions-m-ens
-    stacCol: lpjeosim-wetlandch4-monthgrid-v2
+    stacCol: lpjeosim-wetlandch4-monthgrid-v1
     name: (Monthly) Ensemble Mean Wetland CH₄ Emissions LPJ-EOSIM Model 
     type: raster
     description: Monthly CH₄ emissions from wetlands constructed using an ensemble of climate forcing data sources input to the LPJ-EOSIM model (mean of ERA5 and MERRA-2 layers)
@@ -60,7 +60,7 @@ layers:
         - 0
         - 3e-9
     compare:
-      datasetId: lpjeosim-wetlandch4-grid-v2
+      datasetId: lpjeosim-wetlandch4-grid-v1
       layerId: ch4-wetlands-emissions-m-ens
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -90,7 +90,7 @@ layers:
       unit: kg CH₄/m²/s
 
   - id: ch4-wetlands-emissions-d-ens
-    stacCol: lpjeosim-wetlandch4-daygrid-v2
+    stacCol: lpjeosim-wetlandch4-daygrid-v1
     name: (Daily) Ensemble Mean Wetland CH₄ Emissions LPJ-EOSIM Model 
     type: raster
     description: Daily CH₄ emissions from wetlands constructed using an ensemble of climate forcing data sources input to the LPJ-EOSIM model (mean of ERA5 and MERRA-2 layers)
@@ -107,7 +107,7 @@ layers:
         - 0
         - 3e-9
     compare:
-      datasetId: lpjeosim-wetlandch4-grid-v2
+      datasetId: lpjeosim-wetlandch4-grid-v1
       layerId: ch4-wetlands-emissions-d-ens
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -136,7 +136,7 @@ layers:
       temporalResolution: Daily
       unit: kg CH₄/m²/s  
   - id: ch4-wetlands-emissions-m-era
-    stacCol: lpjeosim-wetlandch4-monthgrid-v2
+    stacCol: lpjeosim-wetlandch4-monthgrid-v1
     name: (Monthly) (ERA5) Wetland CH₄ Emissions LPJ-EOSIM Model 
     type: raster
     description: Monthly CH₄ from wetlands constructed using ERA5 climate forcing data input to the LPJ-EOSIM model
@@ -153,7 +153,7 @@ layers:
         - 0
         - 3e-9
     compare:
-      datasetId: lpjeosim-wetlandch4-grid-v2
+      datasetId: lpjeosim-wetlandch4-grid-v1
       layerId: ch4-wetlands-emissions-m-era
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -182,7 +182,7 @@ layers:
       temporalResolution: Monthly
       unit: kg CH₄/m²/s       
   - id: ch4-wetlands-emissions-d-era
-    stacCol: lpjeosim-wetlandch4-daygrid-v2
+    stacCol: lpjeosim-wetlandch4-daygrid-v1
     name: (Daily) (ERA5) Wetland CH₄ Emissions LPJ-EOSIM Model 
     type: raster
     description: Daily CH₄ from wetlands constructed using ERA5 climate forcing data input to the LPJ-EOSIM model
@@ -199,7 +199,7 @@ layers:
         - 0
         - 3e-9
     compare:
-      datasetId: lpjeosim-wetlandch4-grid-v2
+      datasetId: lpjeosim-wetlandch4-grid-v1
       layerId: ch4-wetlands-emissions-d-era
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -228,7 +228,7 @@ layers:
       temporalResolution: Daily
       unit: kg CH₄/m²/s   
   - id: ch4-wetlands-emissions-m-merra
-    stacCol: lpjeosim-wetlandch4-monthgrid-v2
+    stacCol: lpjeosim-wetlandch4-monthgrid-v1
     name: (Monthly) (MERRA-2) Wetland CH₄ Emissions LPJ-EOSIM Model 
     type: raster
     description: Monthly CH₄ emissions from wetlands constructed using MERRA-2 climate forcing data input to the LPJ-EOSIM model
@@ -245,7 +245,7 @@ layers:
         - 0
         - 3e-9
     compare:
-      datasetId: lpjeosim-wetlandch4-grid-v2
+      datasetId: lpjeosim-wetlandch4-grid-v1
       layerId: ch4-wetlands-emissions-m-merra
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -274,7 +274,7 @@ layers:
       temporalResolution: Monthly
       unit: kg CH₄/m²/s              
   - id: ch4-wetlands-emissions-d-merra
-    stacCol: lpjeosim-wetlandch4-daygrid-v2
+    stacCol: lpjeosim-wetlandch4-daygrid-v1
     name: (Daily) (MERRA-2) Wetland CH₄ Emissions LPJ-EOSIM Model 
     type: raster
     description: Daily CH₄ emissions from wetlands constructed using MERRA-2 climate forcing data input to the LPJ-EOSIM model
@@ -291,7 +291,7 @@ layers:
         - 0
         - 3e-9
     compare:
-      datasetId: lpjeosim-wetlandch4-grid-v2
+      datasetId: lpjeosim-wetlandch4-grid-v1
       layerId: ch4-wetlands-emissions-d-merra
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -351,19 +351,20 @@ 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 [Date 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
-    The current dataset version is v2, which replaced v1 (named LPJ-wsl) in the US GHG Center in April 2024. Summary of version 2 update changes:
+    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). For the daily data layer, the v1 dataset only provided LPJ-EOSIM estimates using MERRA-2 climate input forcing data until the end of 2021. 
-    - v2 data is obtained directly from the LP DAAC in Cloud Optimized GeoTIFF (COG) format (v1 data was in NetCDF format and transformed to COG)
-    - v1 data remains accessible from the [GMAO website](https://gmao.gsfc.nasa.gov/gmaoftp/lott/CH4/wetlands/) 
-
+    - 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). For the daily data layer, the LPJ-wsl dataset only provided LPJ-EOSIM estimates using MERRA-2 climate input forcing data until the end of 2021. 
+    - LPJ-EOSIM data is obtained directly from the LP DAAC in Cloud Optimized GeoTIFF (COG) format (LPJ-wsl data was in NetCDF format and transformed to COG)
+    - LPJ-wsl data remains accessible from the [GMAO website](https://gmao.gsfc.nasa.gov/gmaoftp/lott/CH4/wetlands/) 
+    - In October 2024, the version of the dataset in the GHG Center was changed from LPJ-EOSIM v2 to LPJ-EOSIM v1 to match the version of the source dataset in the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC). This was a correction of the version number only, and does not represent any changes to the underlying data.  
+
     ## Dataset Accuracy
     Shifting spatial patterns of vascular plants affect the transport of CH₄ from soil into the atmosphere. The absence of this effect from the LPJ-EOSIM model could lead to the underestimation of CH₄ emissions. Additionally, the biogeographical distribution of methane-producing microbes and the mechanisms by which they grow and generate byproducts may have a significant impact on CH₄ emissions but are not well understood, adding additional uncertainty to current models. Uncertainties in radiative forcing estimates also contribute to model output uncertainty. Care should be taken when running analyses, as these data are model simulations and not Earth observations. 
 
     The wetland CH₄ data presented here have been subjected to rigorous quality checks, including comprehensive benchmarking against ground-truth model simulations and observations. Each file has been visually and programmatically checked for outliers or missing data, but errors can still occur. In the event of a reprocessing, a note will be posted on this website and the dataset will be updated. 
 
     ## Scientific Details
-    For this dataset, wetlands are defined as land areas that are either permanently or seasonally saturated, excluding small ponds, lakes, and coastal wetlands. Permanent wetlands comprise three general types: mineral wetlands (swamps and marshes), peatlands (permafrost, bog, fens), and seasonally flooded shallow water (floodplains). The methane-producing area is thus linked to inundation and freeze−thaw dynamics, which change geographically and temporally in response to soil water dynamics. Wetland emissions of CH₄ are estimated as a function of substrate, soil temperature, and soil moisture. The net flux of CH₄ is defined as the heterotrophic respiration for the area of a grid cell covered by wetland, scaled by a fixed ratio of soil carbon to CH₄ emissions and by a modifier that varies the CH₄ emission intensity for different biomes. The LPJ-EOSIM land surface model uses a two-layer bucket model to simulate soil hydrology and uses a modified version of the topography-based hydrological model (TOPMODEL) to determine the likely distribution and dynamics of permafrost and inundated areas. Input climate forcing data comes from two different data products: the Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data and the European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5). This LPJ-EOSIM dataset contains 3 data layers: two wetland methane emission estimates forced by MERRA-2 and ERA5 respectively, and a mean ensemble data layer which is computed as the mean of the two wetland datasets forced by MERRA-2 and ERA5. The ERA5 and MERRA-2 reanalysis datasets differ in how they represent variables such as precipitation and temperature, which affects wetland methane estimates in LPJ-EOSIM. The ensemble mean product is recommended for use as it has performed better against known data, as measured by the [ILAMB](https://www.ilamb.org/) benchmarking tool, than the two constituent MERRA-2 and ERA5 data products.  
+    For this dataset, wetlands are defined as land areas that are either permanently or seasonally saturated, excluding small ponds, lakes, and coastal wetlands. Permanent wetlands comprise three general types: mineral wetlands (swamps and marshes), peatlands (permafrost, bog, fens), and seasonally flooded shallow water (floodplains). The methane-producing area is thus linked to inundation and freeze−thaw dynamics, which change geographically and temporally in response to soil water dynamics. Wetland emissions of CH₄ are estimated as a function of substrate, soil temperature, and soil moisture. The net flux of CH₄ is defined as the heterotrophic respiration for the area of a grid cell covered by wetland, scaled by a fixed ratio of soil carbon to CH₄ emissions and by a modifier that varies the CH₄ emission intensity for different biomes. The LPJ-EOSIM land surface model uses a two-layer bucket model to simulate soil hydrology and uses a modified version of the topography-based hydrological model (TOPMODEL) to determine the likely distribution and dynamics of permafrost and inundated areas. Input climate forcing data comes from two different data products: the Modern-Era Retrospective analysis for Research and Applications version 1 (MERRA-2) data and the European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5). This LPJ-EOSIM dataset contains 3 data layers: two wetland methane emission estimates forced by MERRA-2 and ERA5 respectively, and a mean ensemble data layer which is computed as the mean of the two wetland datasets forced by MERRA-2 and ERA5. The ERA5 and MERRA-2 reanalysis datasets differ in how they represent variables such as precipitation and temperature, which affects wetland methane estimates in LPJ-EOSIM. The ensemble mean product is recommended for use as it has performed better against known data, as measured by the [ILAMB](https://www.ilamb.org/) benchmarking tool, than the two constituent MERRA-2 and ERA5 data products.  
 
     ## Key Publications
     Zhang, Z., Zimmermann, N.E., Stenke, A., Li, X., Hodson, E.L., Zhu, G., Huang, C., & Poulter, B. (2017). Emerging role of wetland methane emissions in driving 21st century climate change. *Proceedings of the National Academy of Sciences, 114(36), 9647–9652*. [https://doi.org/10.1073/pnas.1618765114](https://doi.org/10.1073/pnas.1618765114)
@@ -384,8 +385,8 @@ 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)
 
     ## 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 Data Insight</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 Data Insight</Link>
+    - 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>
 
     ## 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).    
@@ -394,9 +395,9 @@ layers:
     [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/lpjeosim-wetlandch4-grid-v2_Data_Flow.html)
+    - [Data Workflow](https://us-ghg-center.github.io/ghgc-docs/data_workflow/lpjeosim-wetlandch4-grid-v1_Data_Flow.html)
     - Data Transformation Code: n/a - The dataset was utilized in its original, unaltered format
-    - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/lpjeosim-wetlandch4-grid-v2_Processing%20and%20Verification%20Report.html)
+    - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/lpjeosim-wetlandch4-grid-v1_Processing%20and%20Verification%20Report.html)
 
   </Prose>
 </Block>

stories/tracking-greenhouse-gas-cycles.stories.mdx

@@ -112,7 +112,7 @@ taxonomy:
     <Chapter
         center={[-26.262383, -1.342390]}
         zoom={3}
-        datasetId='lpjeosim-wetlandch4-grid-v2'
+        datasetId='lpjeosim-wetlandch4-grid-v1'
         layerId='ch4-wetlands-emissions-m-ens'
         datetime='2021-08'
     >
@@ -121,7 +121,7 @@ taxonomy:
     <Chapter
         center={[-99.513843, 55.655443]}
         zoom={3}
-        datasetId='lpjeosim-wetlandch4-grid-v2'
+        datasetId='lpjeosim-wetlandch4-grid-v1'
         layerId='ch4-wetlands-emissions-m-ens'
         datetime='2021-08'
     >
@@ -133,7 +133,7 @@ taxonomy:
     <Prose>
         The US GHG Center datasets show: Changes in CH₄ detected at surface stations around the world, model-based estimates of wetland emissions, and estimates of environmental fluxes based on atmospheric data that can be used to refine wetland models. 
             * <Link to='/data-catalog/noaa-gggrn-ch4-concentrations'>NOAA station-based CH₄ observations</Link>
-            * <Link to='/data-catalog/lpjeosim-wetlandch4-grid-v2'>Daily and monthly wetland emissions</Link>
+            * <Link to='/data-catalog/lpjeosim-wetlandch4-grid-v1'>Daily and monthly wetland emissions</Link>
             * <Link to='/data-catalog/gosat-based-ch4budget-yeargrid-v1'>Alternate estimates of CH₄ emissions using data from Japan’s GOSAT</Link>
             * <Link to='/data-catalog/tm54dvar-ch4flux-monthgrid-v1'>Estimates of CH₄ emissions based on isotopic data collected at surface stations</Link>
     </Prose>