Update ODIAC data content (#443)

## Why are you creating this Pull Request? - Added minor content changes for [ODIAC](https://docs.google.com/document/d/1NLAyzK3BXrFK9T8eXI8KCw_QDevDQ4S5kf4Az0tUX28/edit) - Changed the stac collection id to `odiac-ffco2-monthgrid-v2023`
US-GHG-Center · Aug 2, 2024 · ab9152f · ab9152f
2 parents 6334226 + 365e452
commit ab9152f
Showing 1 changed file with 25 additions and 20 deletions.
diff --git a/...sets/odiac-ffco2-monthgrid-v2022.data.mdx → ...sets/odiac-ffco2-monthgrid-v2023.data.mdx b/...sets/odiac-ffco2-monthgrid-v2022.data.mdx → ...sets/odiac-ffco2-monthgrid-v2023.data.mdx
@@ -1,18 +1,18 @@
 ---
-id: odiac-ffco2-monthgrid-v2022
+id: odiac-ffco2-monthgrid-v2023
 name: ODIAC Fossil Fuel CO₂ Emissions
-description: Global, monthly 1 km resolution dataset of fossil fuel carbon dioxide emissions, version 2022
+description: Global, monthly 1 km resolution dataset of fossil fuel carbon dioxide emissions, version 2023
 usage:
-  - url: 'https://us-ghg-center.github.io/ghgc-docs/cog_transformation/odiac-ffco2-monthgrid-v2022.html'
+  - url: 'https://us-ghg-center.github.io/ghgc-docs/cog_transformation/odiac-ffco2-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%2Fodiac-ffco2-monthgrid-v2022_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%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-v2022/
+  - url: https://dljsq618eotzp.cloudfront.net/browseui/index.html#odiac-ffco2-monthgrid-v2023/
     label: Browse and download the data
     title: Data Browser
 media:
@@ -37,7 +37,7 @@ taxonomy:
       - Model Output
 infoDescription: |
   ::markdown
-    - Temporal Extent: January 2000 - December 2021
+    - Temporal Extent: January 2000 - December 2022
     - Temporal Resolution: Monthly
     - Spatial Extent: Global
     - Spatial Resolution: 1 km x 1 km
@@ -47,7 +47,7 @@ infoDescription: |
 
 layers:
   - id: co2-emissions
-    stacCol: odiac-ffco2-monthgrid-v2022
+    stacCol: odiac-ffco2-monthgrid-v2023
     name: Fossil Fuel CO₂ Emissions
     type: raster
     description: Model-estimated monthly, 1 km CO₂ emissions created using space-based nighttime light data and individual power plant emission/location profiles.
@@ -65,7 +65,7 @@ layers:
         - -10
         - 60
     compare:
-      datasetId: odiac-ffco2-monthgrid-v2022
+      datasetId: odiac-ffco2-monthgrid-v2023
       layerId: co2-emissions
       mapLabel: |
         ::js ({ dateFns, datetime, compareDatetime }) => {
@@ -101,7 +101,7 @@ layers:
     analysis:
       metrics:
         - mean
-      sourceParams:
+      sourceParams: 
         dst_crs: "+proj=cea"
     info:
       source: NASA / NIES
@@ -116,21 +116,26 @@ layers:
 
 <Block>
   <Prose>
-    **Temporal Extent:** January 2000 - December 2021<br />
+    **Temporal Extent:** January 2000 - December 2022<br />
     **Temporal Resolution:** Monthly<br />
     **Spatial Extent:** Global<br />
     **Spatial Resolution:** 1 km x 1 km<br />
     **Data Units:** Tons of carbon per 1 km x 1 km cell (monthly total)<br />
     **Data Type:** Research<br />
     **Data Latency:** Updated annually, following the release of an updated [BP Statistical Review of World Energy report](https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html)
 
-    The Open-source Data Inventory for Anthropogenic CO₂ (ODIAC) data product is a monthly high-resolution global data product of modeled fossil fuel carbon dioxide (CO₂) emissions. A complex model incorporates and combines space-based nighttime light data and individual power plant emission/location profiles from the latest country fossil fuel CO₂ estimates (2000-2019) made by the Carbon Dioxide Information Analysis Center (CDIAC) team at the Appalachian State University (CDIAC at AppState, Gilfillan et al. 2021, Hefner et al. 2022). The ODIAC estimated global spatial extent of fossil fuel CO₂ emissions is produced on a 1 km by 1 km grid that details variations in urban regions where emissions are most intense. The ODIAC CO₂ emission data is widely used by the international research community for applications such as CO₂ flux inversion, urban emission estimation, and observing system design experiments.  The ODIAC product was first created in 2009 by Dr. Tomohiro Oda with support from  the National Institute for Environmental Studies (NIES) GOSAT project. The ODIAC team is now supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, the NASA Orbiting Carbon Observatory mission and NIES. The US GHG Center displays the ODIAC 2022 version containing monthly data from January 2000 to December 2021 that replaces all previous versions.
+    The Open-source Data Inventory for Anthropogenic CO₂ (ODIAC) data product is a monthly high-resolution global data product of modeled fossil fuel carbon dioxide (CO₂) emissions. A complex model incorporates and combines space-based nighttime light data and individual power plant emission/location profiles from the latest country fossil fuel CO₂ estimates (2000-2020) made by the Carbon Dioxide Information Analysis Center (CDIAC) team at the Appalachian State University (CDIAC at AppState, Gilfillan et al. 2021, Hefner et al. 2022). The ODIAC estimated global spatial extent of fossil fuel CO₂ emissions is produced on a 1 km by 1 km grid that details variations in urban regions where emissions are most intense. The ODIAC CO₂ emission data is widely used by the international research community for applications such as CO₂ flux inversion, urban emission estimation, and observing system design experiments.  The ODIAC product was first created in 2009 by Dr. Tomohiro Oda with support from  the National Institute for Environmental Studies (NIES) GOSAT project. The ODIAC team is now supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, the NASA Orbiting Carbon Observatory mission and NIES. The US GHG Center displays the ODIAC 2023 version containing monthly data from January 2000 to December 2022 that replaces all previous versions.
   </Prose>
 </Block>
 <Block>
   <Prose>
     ## Source Data Product Citation
-    Oda, Tomohiro., Maksyutov, Shamil. 2015. ODIAC Fossil Fuel CO₂ Emissions Dataset (Version name: ODIAC2022), Center for Global Environmental Research, National Institute for Environmental Studies, https://doi.org/10.17595/20170411.001. (Reference date: 2023/06/14)
+    Tomohiro Oda, Shamil Maksyutov, (2015). ODIAC Fossil Fuel CO₂ Emissions Dataset (Version name: ODIAC2023), Center for Global Environmental Research, National Institute for Environmental Studies, [DOI:10.17595/20170411.001](http://doi.org/10.17595/20170411.001). (Reference date: 2024/07/15)
+
+    ## Version History
+    The current dataset version is v2023, which replaced the v2022 dataset in the US GHG Center in August 2024. Summary of dataset update:
+    - The year 2023 version of ODIAC is based on the latest country fossil fuel CO₂ estimates (2000-2020) from the CDIAC team at the Appalachian State University, which includes an additional year of data compared to v2022. 
+    - The year 2020 CDIAC country-level estimates were projected for the recent years (2021 and 2022) using fuel consumption data reported by the latest [2023 statistical review of world energy published by the Energy Institute](https://www.energyinst.org/statistical-review)
 
     ## Dataset Accuracy
     Evaluating the accuracy and uncertainty of gridded emissions data is challenging because of the lack of direct physical measurements on grid scales. Proxies such as point source locations and satellite observations of nighttime lights are used to spatially estimate emissions to a grid rather than include actual measurements. The uncertainties associated with this approach for estimated emissions is unquantified at this time. Details about current limitations and caveats of the data can be found in Section 7 of [Oda, Maksyutov & Andres 2018](https://essd.copernicus.org/articles/10/87/2018/essd-10-87-2018.pdf).
@@ -139,19 +144,19 @@ layers:
     This dataset has been transformed from its original format (GeoTIFF) into Cloud Optimized GeoTIFF (COG) for display in the US GHG Center. Careful quality checks are used to ensure data transformation has been performed correctly. 
 
     ## Scientific Details
-    The emission spatial disaggregation uses multiple spatial proxy data, such as geographical location of point sources, satellite observations of nightlights, and aircraft and ship fleet tracks.  The emissions seasonality was taken from the CDIAC monthly gridded data product (Andres et al. 2011) and the Carbon Monitor product (2020-2021, https://carbonmonitor.org/). The year 2019 CDIAC country-level estimates were projected for the recent years (2020 and 2021) using fuel consumption data reported by the latest BP statistical review of the world (BP, 2022). More details about the ODIAC approach, methodology, etc. are described in the Oda et al. (2018) publication.
+    The emission spatial disaggregation uses multiple spatial proxy data, such as geographical location of point sources, satellite observations of nightlights, and aircraft and ship fleet tracks.  The emissions seasonality was taken from the CDIAC monthly gridded data product (Andres et al. 2011) and the Carbon Monitor product (2020-2022, https://carbonmonitor.org/). The year 2020 CDIAC country-level estimates were projected for the recent years (2021 and 2022) using fuel consumption data reported by the latest [2023 statistical review of world energy published by the Energy Institute](https://www.energyinst.org/statistical-review). More details about the ODIAC approach, methodology, etc. are described in the [Oda et al. 2018 publication](https://doi.org/10.5194/essd-10-87-2018).
 
     ## Key Publications
-    Oda, T. and Maksyutov, S. (2011). A very high-resolution (1 km x 1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights. *Atmospheric Chemistry and Physics, 11*(2), 543-556. [https://doi.org/10.5194/acp-11-543-2011](https://doi.org/10.5194/acp-11-543-2011)
+    Oda, T. and Maksyutov, S. (2011). A very high-resolution (1 km x 1 km) global fossil fuel CO₂ emission inventory derived using a point source database and satellite observations of nighttime lights. *Atmospheric Chemistry and Physics, 11*(2), 543-556. [https://doi.org/10.5194/acp-11-543-2011](https://doi.org/10.5194/acp-11-543-2011)
 
-    Oda, T., Maksyutov, S., and Andres, R. J. (2018). The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions. *Earth System Science Data, 10*(1), 87-107. [https://doi.org/10.5194/essd-10-87-2018](https://doi.org/10.5194/essd-10-87-2018)
+    Oda, T., Maksyutov, S., and Andres, R. J. (2018). The Open-source Data Inventory for Anthropogenic CO₂, version 2016 (ODIAC2016): a global monthly fossil fuel CO₂ gridded emissions data product for tracer transport simulations and surface flux inversions. *Earth System Science Data, 10*(1), 87-107. [https://doi.org/10.5194/essd-10-87-2018](https://doi.org/10.5194/essd-10-87-2018)
 
     ## Other Relevant Publications
     Andres, R. J., Gregg, J. S., Losey, L., Marland, G. and Boden, T. (2011). Monthly, global emissions of carbon dioxide from fossil fuel consumption. *Tellus, 63*(3), 309-327. [https://doi.org/10.1111/j.1600-0889.2011.00530.x](https://doi.org/10.1111/j.1600-0889.2011.00530.x)
 
-    Gilfillan, D. and Marland, G. (2021). CDIAC-FF: global and national CO2 emissions from fossil fuel combustion and cement manufacture: 1751-2017. *Earth System Science Data, 13*(4), 1667-1680. [https://doi.org/10.5194/essd-13-1667-2021](https://doi.org/10.5194/essd-13-1667-2021)
+    Gilfillan, D. and Marland, G. (2021). CDIAC-FF: global and national CO₂ emissions from fossil fuel combustion and cement manufacture: 1751-2017. *Earth System Science Data, 13*(4), 1667-1680. [https://doi.org/10.5194/essd-13-1667-2021](https://doi.org/10.5194/essd-13-1667-2021)
 
-    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)
+    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)
 
     ## Learn More
     - See ODIAC data visualized by [NASA’s Scientific Visualization Studio](https://svs.gsfc.nasa.gov/5121/)
@@ -165,9 +170,9 @@ layers:
     Please view the [ODIAC Data Policy](https://db.cger.nies.go.jp/dataset/ODIAC/data_policy.html) for additional details. 
 
     ## Data Stewardship
-    - [Data Workflow](https://us-ghg-center.github.io/ghgc-docs/data_workflow/odiac-ffco2-monthgrid-v2022_Data_Flow.html)
-    - [Data Transformation Code](https://us-ghg-center.github.io/ghgc-docs/cog_transformation/odiac-ffco2-monthgrid-v2022.html)
-    - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/odiac-ffco2-monthgrid-v2022_Processing%20and%20Verification%20Report.html)
+    - [Data Workflow](https://us-ghg-center.github.io/ghgc-docs/data_workflow/odiac-ffco2-monthgrid-v2023_Data_Flow.html)
+    - [Data Transformation Code](https://us-ghg-center.github.io/ghgc-docs/cog_transformation/odiac-ffco2-monthgrid-v2023.html)
+    - [US GHG Center Data Intake Processing and Verification Report](https://us-ghg-center.github.io/ghgc-docs/processing_and_verification_reports/odiac-ffco2-monthgrid-v2023_Processing%20and%20Verification%20Report.html)
 
   </Prose>
 </Block>