diff --git a/.env b/.env index a65c10c54..c27f35b3a 100644 --- a/.env +++ b/.env @@ -1,5 +1,5 @@ # Title of the application shown on the header and wherever the name is needed. -APP_TITLE=GHG Monitoring and Information Center +APP_TITLE=U.S. Greenhouse Gas Center # Short description used in meta tags. It shows up when the app url is shared. APP_DESCRIPTION='Exploring Greenhouse Gas Data; Driving Sustainable Strategies through Powerful Analysis' diff --git a/datasets/casa-gfed-co2-emission-monthly.data.mdx b/datasets/casa-gfed-co2-emission-monthly.data.mdx new file mode 100644 index 000000000..7664f8fdc --- /dev/null +++ b/datasets/casa-gfed-co2-emission-monthly.data.mdx @@ -0,0 +1,281 @@ +--- +id: land-atmoshphere-co2-emissions-monthly-2022 +name: GEOS-Carb CASA-GFED3 Land Carbon Flux Products +description: This product provides Monthly average Net Primary Production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), and fuel wood burning emissions (FUEL) derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA-GFED3) model. +usage: + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py' + label: Notebook to trasnform netcdf to COG + title: 'Carbon natural flux data transformation notebook' + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/user_data_notebooks/land_carbon_flux_casa_gfed.ipynb' + label: Notebook to read, visualize, and explore data statistics + title: 'Carbon natural flux data notebook' +media: + src: ::file ./geos-casa-gfed--cover.jpg + alt: windmills + author: + name: Dan Meyers +thematics: + - air-quality + - co2 +sources: + - nasa +product: + - satellite +layers: + - id: casa-gfed-co2-flux + stacCol: nasa-casa-gfed-co2-flux + name: Net Primary Production + type: raster + description: Monthly average net primary production + zoomExtent: + - 0 + - 20 + sourceParams: + assets: npp + colormap_name: plasma + rescale: + - -0.1 + - 0.2 + nodata: 0 + compare: + datasetId: land-atmoshphere-co2-emissions-monthly-2022 + layerId: casa-gfed-co2-flux + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: kg m-2 mon-1 + type: gradient + min: -0.1 + max: 0.2 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' + - id: casa-gfed-co2-flux-hr + stacCol: nasa-casa-gfed-co2-flux + name: Heterotrophic Respiration + type: raster + description: Monthly average heterotrophic respiration + zoomExtent: + - 0 + - 20 + sourceParams: + assets: rh + colormap_name: plasma + rescale: + - -0.1 + - 0.3 + nodata: 0 + compare: + datasetId: land-atmoshphere-co2-emissions-monthly-2022 + layerId: casa-gfed-co2-flux-hr + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: kg m-2 mon-1 + type: gradient + min: -0.1 + max: 0.3 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' + - id: casa-gfed-co2-flux-nee + stacCol: nasa-casa-gfed-co2-flux + name: Net Ecosystem Exchange + type: raster + description: Monthly average net ecosystem exchange + zoomExtent: + - 0 + - 20 + sourceParams: + assets: nee + colormap_name: plasma + rescale: + - -0.1 + - 0.2 + nodata: 0 + compare: + datasetId: land-atmoshphere-co2-emissions-monthly-2022 + layerId: casa-gfed-co2-flux-nee + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: kg m-2 mon-1 + type: gradient + min: -0.1 + max: 0.2 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' + - id: casa-gfed-co2-flux-fe + stacCol: nasa-casa-gfed-co2-flux + name: Fire Emissions + type: raster + description: Monthly average fire emissions + zoomExtent: + - 0 + - 20 + sourceParams: + assets: fire + colormap_name: plasma + rescale: + - -0.1 + - 0.3 + nodata: 0 + compare: + datasetId: land-atmoshphere-co2-emissions-monthly-2022 + layerId: casa-gfed-co2-flux-fe + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: kg m-2 mon-1 + type: gradient + min: -0.1 + max: 0.3 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' + - id: casa-gfed-co2-flux-fuel + stacCol: nasa-casa-gfed-co2-flux + name: Fuel Emissions + type: raster + description: Monthly average fuel emissions + zoomExtent: + - 0 + - 20 + sourceParams: + assets: fuel + colormap_name: plasma + rescale: + - 0 + - 0.01 + nodata: 0 + compare: + datasetId: land-atmoshphere-co2-emissions-monthly-2022 + layerId: casa-gfed-co2-flux-fuel + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: kg m-2 mon-1 + type: gradient + min: 0 + max: 0.01 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' +--- + + + + ## GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes + The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning. + + - **Temporal extent:** 2003/01/01 - 2017/12/31 + - **Temporal resolution:** Monthly + - **Spatial extent:** Global + - **Spatial resolution:** 0.5 deg x 0. 5deg + - **Data units:** + - **Data type:** Research + + ## Source Data Product Citation + Lesley Ott (2020), GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes 0.5 degree x 0.5 degree V3, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [Data Access Date], 10.5067/03147VMJE8J9 + + ## Contact + - Dr. Lesley Ott (NASA contact point) + + ## Relevant Publications + + ## License + CC BY 4.0 (Creative Commons Attribution 4.0 International) + + ## Acknowledgment + + ## Disclaimer + All data provided in the U.S. GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly. + + ## Data Stewardship + - [Data Management Report] + - [Data Transformation Process](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py) + - [U.S. GHG Center Data Intake Processing and Verification Report](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/processing_and_confirmation_reports/ODIAC_Processing%20and%20Confirmation%20Report%20.pdf) + - [Notes] + + \ No newline at end of file diff --git a/datasets/ch4-wetland--cover.jpeg b/datasets/ch4-wetland--cover.jpeg new file mode 100644 index 000000000..3d1e22cbb Binary files /dev/null and b/datasets/ch4-wetland--cover.jpeg differ diff --git a/datasets/ch4-wetland-monthly.data.mdx b/datasets/ch4-wetland-monthly.data.mdx new file mode 100644 index 000000000..317283f4f --- /dev/null +++ b/datasets/ch4-wetland-monthly.data.mdx @@ -0,0 +1,133 @@ +--- +id: wetland-ch4-emissions +name: CH4 Wetland Emissions (LPJ-wsl) +description: These daily and monthly wetland methane (CH4) emissions estimates are produced using the Lund–Potsdam–Jena-Wald, Schnee and Landschaft model (LPJ-wsl), version 2022. The LPJ-wsl model is a prognostic, process-based Dynamic Global Vegetation Model (DGVM) used in carbon cycle applications. The model is independently verified using remote sensing data. +usage: + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py' + label: Notebook to trasnform netcdf to COG + title: 'Wetlands CH4 emissions data transformation notebook' + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/user_data_notebooks/wetland_methane_emissions.ipynb' + label: Notebook to read, visualize, and explore data statistics + title: 'Wetlands CH4 emissions data visualization notebook' +media: + src: ::file ./ch4-wetland--cover.jpeg + alt: svs visualiztion + author: + name: Mark SubbaRao (NASA/GSFC) + url: https://svs.gsfc.nasa.gov/5054 +thematics: + - air-quality + - agriculture + - ch4 +sources: + - nasa +product: + - satellite +layers: + - id: ch4-wetlands-emissions + stacCol: nasa-gsfc-ch4-wetlands-emissions + name: Wetlands CH4 Emissions (Monthly) + type: raster + description: Monthly CH4 emissions from wetlands constructed using the LBJ-wsl model, version 2022 + zoomExtent: + - 0 + - 20 + sourceParams: + assets: ch4-wetlands-emissions + colormap_name: magma + rescale: + - 0 + - 2 + nodata: 0 + compare: + datasetId: wetland-ch4-emissions + layerId: ch4-wetlands-emissions + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: g m-2 mon-1 + type: gradient + min: 0 + max: 2 + stops: + - '#2c115f' + - '#721f81' + - '#b73779' + - '#f1605d' + - '#feb078' + + - id: ch4-wetlands-emissions-d + stacCol: nasa-gsfc-ch4-wetlands-daily-emissions + name: Wetlands CH4 Emissions (Daily) + type: raster + description: Daily CH4 emissions from wetlands constructed using the LBJ-wsl model, version 2022 + + zoomExtent: + - 0 + - 20 + sourceParams: + assets: ch4-wetlands-emissions + colormap_name: magma + rescale: + - 0 + - 0.2 + nodata: 0 + compare: + datasetId: wetland-ch4-emissions + layerId: ch4-wetlands-emissions-d + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: g m-2 daily-1 + type: gradient + min: 0 + max: 0.2 + stops: + - '#2c115f' + - '#721f81' + - '#b73779' + - '#f1605d' + - '#feb078' +--- + + + + ## Wetland + Estimates of wetland methane emissions produced by the Lund–Potsdam–Jena Dynamic Global Vegetation Model (LPJ-DGVM) Wald Schnee und Landscaft version (LPJ-wsl). LPJ-wsl is a prognostic model, meaning that it can be used to simulate future changes in wetland emissions and independently verified with remote sensing data products. The model includes a complex, topography dependent model of near surface hydrology, and a permafrost and dynamic snow model, allowing it to produce realistic distributions of inundated area. Highlighted areas show concentrated methane sources from tropical and high latitude ecosystems. The LPJ-wsl model is regularly used in conjunction with NASA’s GEOS model to simulate the impact of wetlands and other methane sources on atmospheric methane concentrations, compare against satellite and airborne data, and to improve understanding and prediction of wetland emissions. + + - **Temporal extent:** 1980/01/01 - 2021/12/31 + - **Temporal resolution:** Monthly and Daily + - **Spatial extent:** Global + - **Spatial resolution:** 0.5 deg x 0. 5deg + - **Data units:** g m-2 mon-1 and g m-2 daily-1 + - **Data type:** Research + + ## Source Data Product Citation + + ## Contact + - Dr. Lesley Ott (NASA contact point) + + ## Relevant Publications + Zhang, Z., Zimmermann, N. E., Stenke, A., Li, X., Hodson, E. L., Zhu, G., ... & 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. + + ## License + CC BY 4.0 (Creative Commons Attribution 4.0 International) + + ## Acknowledgment + + ## Disclaimer + All data provided in the U.S. GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly. + + ## Data Stewardship + - [Data Management Report] + - [Data Transformation Process](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py) + - [U.S. GHG Center Data Intake Processing and Verification Report](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/processing_and_confirmation_reports/ODIAC_Processing%20and%20Confirmation%20Report%20.pdf) + - [Notes] + + + diff --git a/datasets/emit-plume--cover.jpg b/datasets/emit-plume--cover.jpg new file mode 100644 index 000000000..9ea296e41 Binary files /dev/null and b/datasets/emit-plume--cover.jpg differ diff --git a/datasets/emit-plume.data.mdx b/datasets/emit-plume.data.mdx new file mode 100644 index 000000000..253e054e4 --- /dev/null +++ b/datasets/emit-plume.data.mdx @@ -0,0 +1,107 @@ +--- +id: jpl-ch4-plume-emissions +name: Methane plumes +description: High-spatial resolution CH4 emissions data product +usage: + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py' + label: Notebook to trasnform netcdf to COG + title: 'Methane emission from EMIT transformation notebook' + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/user_data_notebooks/methane_plumes_emit..ipynb' + label: Notebook to read, visualize, and explore data statistics + title: 'Methane emission from EMIT data notebook' +media: + src: ::file ./emit-plume--cover.jpg + alt: emission from industry + author: + name: Chris Leboutillier +thematics: + - air-quality + - ch4 +sources: + - nasa +product: + - satellite +layers: + - id: ch4-plume-emissions + stacCol: ch4-plumes-emissions + name: CH4 plumes emissions + type: raster + description: Methane plumes from point source emitters. + zoomExtent: + - 8 + - 20 + sourceParams: + resampling: bilinear + bidx: 1 + assets: ch4-plume-emissions + colormap_name: plasma + rescale: + - 1 + - 1500 + nodata: -9999 + compare: + datasetId: jpl-ch4-plume-emissions + layerId: ch4-plume-emissions + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: ppm m + type: gradient + min: 1 + max: +1500 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' +--- + + + + The EMIT instrument builds upon NASA’s long history of developing advanced imaging spectrometers for new science and applications. EMIT launched to the International Space Station (ISS) on July 14, 2022. + The data shows high-confidence research grade methane plumes from point source emitters - updated as they are identified - in keeping with JPL Open Science and Open Data policy. + + - **Temporal extent:** 2022/08/01 to 2023/05/31 + - **Temporal resolution:** Daily + - **Spatial extent:** Global + - **Spatial resolution:** + - **Data units:** ppm m + - **Data type:** Research + + ## Data Product Citation + + ## Relevant Publications + + ## License + CC BY 1.0 (Creative Commons Attribution 1.0 International) + + ## Contact + - Dr. Robert O. Green (NASA contact point) + + ## Acknowledgment + + ## Disclaimer + All data provided in the U.S. GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly.[Link](https://github.com/NASA-IMPACT/veda-docs/blob/no2-single-item-viz/example-notebooks/no2-single-item-vizualization.ipynb) + + ## Data Stewardship + - [Data Management Report] + - [Data Transformation Process](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py) + - [U.S. GHG Center Data Intake Processing and Verification Report](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/processing_and_confirmation_reports/ODIAC_Processing%20and%20Confirmation%20Report%20.pdf) + - [Notes] + + + diff --git a/datasets/epa-annual--cover.jpg b/datasets/epa-annual--cover.jpg index 630663eea..eed5a2300 100644 Binary files a/datasets/epa-annual--cover.jpg and b/datasets/epa-annual--cover.jpg differ diff --git a/datasets/epa-annual.data.mdx b/datasets/epa-annual.data.mdx deleted file mode 100644 index 6b6641c44..000000000 --- a/datasets/epa-annual.data.mdx +++ /dev/null @@ -1,230 +0,0 @@ ---- -id: epa-emissions-annual-tests -name: Annual Methane Emissions -description: Gridded inventory of US anthropogenic methane emissions with 0.1° × 0.1° spatial resolution, -media: - src: ::file ./epa-annual--cover.jpg - alt: Orange Ford truck leaving a Union Carbide ferro-alloy plant. Shot on May 1975 - author: - name: Harry Schaefer / Documerica - url: https://unsplash.com/photos/EjSw6WdnLRA -sources: - - epa-ghg -layers: - - id: 4f-field-burning - stacCol: epa-gridded-annual-emissions - name: Field Burning - type: raster - description: Emissions from sector 4F from agricultural field burning. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 4f-field-burning - colormap_name: rainbow - rescale: - - 0 - - 800788398 - nodata: 0 - legend: - type: gradient - min: 0 - max: 800788398 - stops: - - "#60007d" - - "#30137d" - - "#1960ae" - - "#7ac300" - - "#f2ce00" - - "#ef6a01" - - "#cc0019" - - id: 4c-rice-cultivation - stacCol: epa-gridded-annual-emissions - name: Rice Cultivation - type: raster - description: Emissions from sector 4C from rice cultivation. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 4c-rice-cultivation - colormap_name: rainbow - rescale: - - 0 - - 38327875010 - nodata: 0 - legend: - type: gradient - min: 0 - max: 38327875010 - stops: - - "#60007d" - - "#30137d" - - "#1960ae" - - "#7ac300" - - "#f2ce00" - - "#ef6a01" - - "#cc0019" - - id: 4b-manure-management - stacCol: epa-gridded-annual-emissions - name: Manure Management - type: raster - description: Emissions from sector 4B from manure management. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 4b-manure-management - colormap_name: rainbow - rescale: - - 0 - - 46428019752 - nodata: 0 - legend: - unit: - label: molecule/cm²/s - type: gradient - min: 0 molecule/cm²/s - max: 46428019752 molecule/cm²/s - stops: - - "#60007d" - - "#30137d" - - "#1960ae" - - "#7ac300" - - "#f2ce00" - - "#ef6a01" - - "#cc0019" - - id: 1a-combustion-stationary - stacCol: epa-gridded-annual-emissions - name: Stationary Combustion - type: raster - description: >- - Stationary (non-mobile) emissions from sector 1A, including boilers, - heaters, furnaces, kilns, ovens, flares, thermal oxidizers, dryers, and - any other equipment or machinery that combusts carbon bearing fuels or - waste stream materials. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 1a-combustion-stationary - colormap_name: rainbow - rescale: - - 0 - - 11699984793 - nodata: 0 - legend: - unit: - label: molecule/cm²/s - type: gradient - min: 0 - max: 11699984793 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' - - id: 1b2b-natural-gas-production - stacCol: epa-gridded-annual-emissions - name: Natural Gas Production - type: raster - description: Non-combustion emissions from sector 1B2b for natural gas production. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 1b2b-natural-gas-production - colormap_name: rainbow - rescale: - - 0 - - 963867416985 - nodata: 0 - legend: - type: gradient - min: 0 - max: 963867416985 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' - - id: 1b2a-petroleum - stacCol: epa-gridded-annual-emissions - name: Petroleum - type: raster - description: >- - Non-combustion emissions from sector 1B2a for petroleum systems, including production, transportation, and refining. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 1b2a-petroleum - colormap_name: rainbow - rescale: - - 0 - - 282207914557 - nodata: 0 - legend: - unit: - label: molecule/cm²/s - type: gradient - min: 0 - max: 282207914557 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' - # - id: oil-and-gas - # stacCol: epa-gridded-annual-emissions - # name: Oil and Gas - # type: raster - # description: Includes emissions from Natural Gas and Petroleum. - # zoomExtent: - # - 0 - # - 20 - # sourceParams: - # assets: 1b2b-natural-gas-production, 1b2a-petroleum - # # expression: 1b2b-natural-gas-production + 1b2a-petroleum - # colormap_name: rainbow - # rescale: - # - 0 - # - 963867416985 - # nodata: 0 - # legend: - # unit: - # label: molecule/cm²/s - # type: gradient - # min: 0 - # max: 963867416985 - # stops: - # - '#60007d' - # - '#30137d' - # - '#1960ae' - # - '#7ac300' - # - '#f2ce00' - # - '#ef6a01' - # - '#cc0019' ---- - - - - ## Annual Methane Emissions - - A team at Harvard University along with EPA and other coauthors developed a gridded inventory of U.S. anthropogenic methane emissions with 0.1° x 0.1° spatial resolution, monthly temporal resolution, and detailed scale-dependent error characterization. The inventory is designed to be consistent with the 2016 U.S. [EPA Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types. - - This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales. Users of this gridded inventory are asked to cite the original reference (Maasakkers et al., 2016) in their publications. Error estimates are given in that reference. - - Paper: [Maasakkers et. al. 2016, A Gridded National Inventory of U.S. Methane Emissions](https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions#paper) - - - diff --git a/datasets/epa-ch4.data.mdx b/datasets/epa-ch4.data.mdx new file mode 100644 index 000000000..cd54da9b2 --- /dev/null +++ b/datasets/epa-ch4.data.mdx @@ -0,0 +1,475 @@ +--- +id: epa-emissions-annual-tests +name: Methane Emissions +description: Gridded inventory of US anthropogenic methane emissions with 0.1° × 0.1° spatial resolution at annual, monthly and daily scale. +usage: + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/ODIAC_fossil_fuel_geotiff_transformation.py' + label: Notebook to trasnform GeoTIFF to COG + title: 'EPA methane emissions data transformation notebook' + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/user_data_notebooks/ODIAC_CO2_data_notebook.ipynb' + label: Notebook to read, visualize, and explore data statistics + title: 'EPA methane emissions data notebook' +media: + src: ::file ./epa-annual--cover.jpg + alt: emission from industry + author: + name: Patrick Hendry +sources: + - epa-ghg +layers: + - id: 4f-field-burning-a + stacCol: epa-gridded-annual-emissions + name: Field Burning (annual) + type: raster + description: Emissions from sector 4F from agricultural field burning. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 4f-field-burning + colormap_name: rainbow + rescale: + - 0 + - 800788398 + nodata: 0 + legend: + type: gradient + min: 0 + max: 800788398 + stops: + - "#60007d" + - "#30137d" + - "#1960ae" + - "#7ac300" + - "#f2ce00" + - "#ef6a01" + - "#cc0019" + - id: 4c-rice-cultivation-a + stacCol: epa-gridded-annual-emissions + name: Rice Cultivation (annual) + type: raster + description: Emissions from sector 4C from rice cultivation. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 4c-rice-cultivation + colormap_name: rainbow + rescale: + - 0 + - 38327875010 + nodata: 0 + legend: + type: gradient + min: 0 + max: 38327875010 + stops: + - "#60007d" + - "#30137d" + - "#1960ae" + - "#7ac300" + - "#f2ce00" + - "#ef6a01" + - "#cc0019" + - id: 4b-manure-management-a + stacCol: epa-gridded-annual-emissions + name: Manure Management (annual) + type: raster + description: Emissions from sector 4B from manure management. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 4b-manure-management + colormap_name: rainbow + rescale: + - 0 + - 46428019752 + nodata: 0 + legend: + unit: + label: molecule/cm²/s + type: gradient + min: 0 molecule/cm²/s + max: 46428019752 molecule/cm²/s + stops: + - "#60007d" + - "#30137d" + - "#1960ae" + - "#7ac300" + - "#f2ce00" + - "#ef6a01" + - "#cc0019" + - id: 1a-combustion-stationary-a + stacCol: epa-gridded-annual-emissions + name: Stationary Combustion (annual) + type: raster + description: >- + Stationary (non-mobile) emissions from sector 1A, including boilers, + heaters, furnaces, kilns, ovens, flares, thermal oxidizers, dryers, and + any other equipment or machinery that combusts carbon bearing fuels or + waste stream materials. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 1a-combustion-stationary + colormap_name: rainbow + rescale: + - 0 + - 11699984793 + nodata: 0 + legend: + unit: + label: molecule/cm²/s + type: gradient + min: 0 + max: 11699984793 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' + - id: 1b2b-natural-gas-production-a + stacCol: epa-gridded-annual-emissions + name: Natural Gas Production (annual) + type: raster + description: Non-combustion emissions from sector 1B2b for natural gas production. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 1b2b-natural-gas-production + colormap_name: rainbow + rescale: + - 0 + - 963867416985 + nodata: 0 + legend: + type: gradient + min: 0 + max: 963867416985 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' + - id: 1b2a-petroleum-a + stacCol: epa-gridded-annual-emissions + name: Petroleum (annual) + type: raster + description: >- + Non-combustion emissions from sector 1B2a for petroleum systems, including production, transportation, and refining. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 1b2a-petroleum + colormap_name: rainbow + rescale: + - 0 + - 282207914557 + nodata: 0 + legend: + unit: + label: molecule/cm²/s + type: gradient + min: 0 + max: 282207914557 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' + - id: 1b2a-petroleum + stacCol: epa-gridded-monthly-emissions + name: Petroleum (monthly) + type: raster + description: >- + Non-combustion emissions from sector 1B2a for petroleum systems, including production, transportation, and refining. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 1b2a-petroleum + colormap_name: rainbow + rescale: + - 0 + - 282207914557 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 1b2a-petroleum + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 282207914557 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' + - id: 4f-field-burning + stacCol: epa-gridded-monthly-emissions + name: Field Burning (monthly) + type: raster + description: Emissions from sector 4F from agricultural field burning. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 4f-field-burning + colormap_name: rainbow + rescale: + - 0 + - 800788398 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 4f-field-burning + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 800788398 + stops: + - "#60007d" + - "#30137d" + - "#1960ae" + - "#7ac300" + - "#f2ce00" + - "#ef6a01" + - "#cc0019" + - id: 4c-rice-cultivation + stacCol: epa-gridded-monthly-emissions + name: Rice Cultivation (monthly) + type: raster + description: Emissions from sector 4C from rice cultivation. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 4c-rice-cultivation + colormap_name: rainbow + rescale: + - 0 + - 38327875010 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 4c-rice-cultivation + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 38327875010 + stops: + - "#60007d" + - "#30137d" + - "#1960ae" + - "#7ac300" + - "#f2ce00" + - "#ef6a01" + - "#cc0019" + - id: 4b-manure-management + stacCol: epa-gridded-monthly-emissions + name: Manure Management (monthly) + type: raster + description: Emissions from sector 4B from manure management. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 4b-manure-management + colormap_name: rainbow + rescale: + - 0 + - 46428019752 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 4b-manure-management + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 46428019752 + stops: + - "#60007d" + - "#30137d" + - "#1960ae" + - "#7ac300" + - "#f2ce00" + - "#ef6a01" + - "#cc0019" + - id: 1a-combustion-stationary + stacCol: epa-gridded-monthly-emissions + name: Stationary Combustion (monthly) + type: raster + description: >- + Stationary (non-mobile) emissions from sector 1A, including boilers, + heaters, furnaces, kilns, ovens, flares, thermal oxidizers, dryers, and + any other equipment or machinery that combusts carbon bearing fuels or + waste stream materials. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 1a-combustion-stationary + colormap_name: rainbow + rescale: + - 0 + - 11699984793 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 1a-combustion-stationary + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 11699984793 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' + - id: 1b2b-natural-gas-production + stacCol: epa-gridded-monthly-emissions + name: Natural Gas Production (monthly) + type: raster + description: Non-combustion emissions from sector 1B2b for natural gas production. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 1b2b-natural-gas-production + colormap_name: rainbow + rescale: + - 0 + - 963867416985 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 1b2b-natural-gas-production + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 963867416985 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' + - id: 5-forest-fires + stacCol: epa-gridded-daily-emissions + name: Forest Fires (daily) + type: raster + description: Emissions from sector 5 from forest fires. + zoomExtent: + - 0 + - 20 + sourceParams: + assets: 5-forest-fires + colormap_name: rainbow + rescale: + - 0 + - 282207914557 + nodata: 0 + compare: + datasetId: epa-emissions-annual-tests + layerId: 5-forest-fires + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: 0 + max: 282207914557 + stops: + - '#60007d' + - '#30137d' + - '#1960ae' + - '#7ac300' + - '#f2ce00' + - '#ef6a01' + - '#cc0019' +--- + + + + ## Methane Emissions + + A team at Harvard University along with EPA and other coauthors developed a gridded inventory of U.S. anthropogenic methane emissions with 0.1° x 0.1° spatial resolution, monthly temporal resolution, and detailed scale-dependent error characterization. The inventory is designed to be consistent with the 2016 U.S. [EPA Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types. + This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales. Users of this gridded inventory are asked to cite the original reference (Maasakkers et al., 2016) in their publications. Error estimates are given in that reference. + + - **Temporal extent:** 2003/01/01 - 2017/12/31 + - **Temporal resolution:** Annual/Monthly/Daily + - **Spatial extent:** US + - **Spatial resolution:** 0.1 deg x 0. 1 deg + - **Data units:** Mg a-1 km-2 + - **Data type:** Research + + ## Source Data Product Citation + + ## Contact + - Maasakkers, J.D (EPA contact point) + + ## Relevant Publications + Maasakkers, J. D., Jacob, D. J., Sulprizio, M. P., Turner, A. J., Weitz, M., Wirth, T., ... & Fischer, M. L. (2016). Gridded national inventory of US methane emissions. Environmental science & technology, 50(23), 13123-13133. + + ## Acknowledgment + + ## License + CC BY 4.0 (Creative Commons Attribution 4.0 International) + + ## Disclaimer + All data provided in the U.S. GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly. + + ## Data Stewardship + - [Data Management Report] + - [Data Transformation Process](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py) + - [U.S. GHG Center Data Intake Processing and Verification Report](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/processing_and_confirmation_reports/ODIAC_Processing%20and%20Confirmation%20Report%20.pdf) + - [Notes] + + + diff --git a/datasets/epa-daily--cover.jpg b/datasets/epa-daily--cover.jpg deleted file mode 100644 index 9e6caf0dd..000000000 Binary files a/datasets/epa-daily--cover.jpg and /dev/null differ diff --git a/datasets/epa-daily.data.mdx b/datasets/epa-daily.data.mdx deleted file mode 100644 index 9cb6f656d..000000000 --- a/datasets/epa-daily.data.mdx +++ /dev/null @@ -1,61 +0,0 @@ ---- -id: epa-emissions-daily -name: Daily Methane Emissions -description: Gridded inventory of US anthropogenic methane emissions with 0.1° × 0.1° spatial resolution, -media: - src: ::file ./epa-daily--cover.jpg - alt: white smoke coming from building - author: - name: Marcin Jozwiak - url: https://unsplash.com/photos/T-eDxGcn-Ok -sources: - - epa-ghg -layers: - - id: 5-forest-fires - stacCol: epa-gridded-daily-emissions - name: Forest Fires - type: raster - description: Emissions from sector 5 from forest fires. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 5-forest-fires - colormap_name: rainbow - rescale: - - 0 - - 282207914557 - nodata: 0 - compare: - datasetId: epa-emissions-daily - layerId: 5-forest-fires - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 282207914557 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' ---- - - - - ## Daily Methane Emissions - - A team at Harvard University along with EPA and other coauthors developed a gridded inventory of U.S. anthropogenic methane emissions with 0.1° x 0.1° spatial resolution, monthly temporal resolution, and detailed scale-dependent error characterization. The inventory is designed to be consistent with the 2016 U.S. [EPA Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types. - - This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales. Users of this gridded inventory are asked to cite the original reference (Maasakkers et al., 2016) in their publications. Error estimates are given in that reference. - - Paper: [Maasakkers et. al. 2016, A Gridded National Inventory of U.S. Methane Emissions](https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions#paper) - - - diff --git a/datasets/epa-monthly--cover.jpg b/datasets/epa-monthly--cover.jpg deleted file mode 100644 index 709740ef4..000000000 Binary files a/datasets/epa-monthly--cover.jpg and /dev/null differ diff --git a/datasets/epa-monthly.data.mdx b/datasets/epa-monthly.data.mdx deleted file mode 100644 index dac677441..000000000 --- a/datasets/epa-monthly.data.mdx +++ /dev/null @@ -1,264 +0,0 @@ ---- -id: epa-emissions-monthly -name: Monthly Methane Emissions -description: Gridded inventory of US anthropogenic methane emissions with 0.1° × 0.1° spatial resolution, -media: - src: ::file ./epa-monthly--cover.jpg - alt: Power plant shooting steam at the sky. - author: - name: Marek Piwnicki - url: https://unsplash.com/photos/WiZOyYqzUss -sources: - - epa-ghg -layers: - - id: 1b2a-petroleum - stacCol: epa-gridded-monthly-emissions - name: Petroleum - type: raster - description: >- - Non-combustion emissions from sector 1B2a for petroleum systems, including production, transportation, and refining. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 1b2a-petroleum - colormap_name: rainbow - rescale: - - 0 - - 282207914557 - nodata: 0 - compare: - datasetId: epa-emissions-monthly - layerId: 1b2a-petroleum - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 282207914557 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' - - id: 4f-field-burning - stacCol: epa-gridded-monthly-emissions - name: Field Burning - type: raster - description: Emissions from sector 4F from agricultural field burning. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 4f-field-burning - colormap_name: rainbow - rescale: - - 0 - - 800788398 - nodata: 0 - compare: - datasetId: epa-emissions-monthly - layerId: 4f-field-burning - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 800788398 - stops: - - "#60007d" - - "#30137d" - - "#1960ae" - - "#7ac300" - - "#f2ce00" - - "#ef6a01" - - "#cc0019" - - id: 4c-rice-cultivation - stacCol: epa-gridded-monthly-emissions - name: Rice Cultivation - type: raster - description: Emissions from sector 4C from rice cultivation. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 4c-rice-cultivation - colormap_name: rainbow - rescale: - - 0 - - 38327875010 - nodata: 0 - compare: - datasetId: epa-emissions-monthly - layerId: 4c-rice-cultivation - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 38327875010 - stops: - - "#60007d" - - "#30137d" - - "#1960ae" - - "#7ac300" - - "#f2ce00" - - "#ef6a01" - - "#cc0019" - - id: 4b-manure-management - stacCol: epa-gridded-monthly-emissions - name: Manure Management - type: raster - description: Emissions from sector 4B from manure management. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 4b-manure-management - colormap_name: rainbow - rescale: - - 0 - - 46428019752 - nodata: 0 - compare: - datasetId: epa-emissions-monthly - layerId: 4b-manure-management - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 46428019752 - stops: - - "#60007d" - - "#30137d" - - "#1960ae" - - "#7ac300" - - "#f2ce00" - - "#ef6a01" - - "#cc0019" - - id: 1a-combustion-stationary - stacCol: epa-gridded-monthly-emissions - name: Stationary Combustion - type: raster - description: >- - Stationary (non-mobile) emissions from sector 1A, including boilers, - heaters, furnaces, kilns, ovens, flares, thermal oxidizers, dryers, and - any other equipment or machinery that combusts carbon bearing fuels or - waste stream materials. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 1a-combustion-stationary - colormap_name: rainbow - rescale: - - 0 - - 11699984793 - nodata: 0 - compare: - datasetId: epa-emissions-monthly - layerId: 1a-combustion-stationary - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 11699984793 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' - - id: 1b2b-natural-gas-production - stacCol: epa-gridded-monthly-emissions - name: Natural Gas Production - type: raster - description: Non-combustion emissions from sector 1B2b for natural gas production. - zoomExtent: - - 0 - - 20 - sourceParams: - assets: 1b2b-natural-gas-production - colormap_name: rainbow - rescale: - - 0 - - 963867416985 - nodata: 0 - compare: - datasetId: epa-emissions-monthly - layerId: 1b2b-natural-gas-production - mapLabel: | - ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; - } - legend: - type: gradient - min: 0 - max: 963867416985 - stops: - - '#60007d' - - '#30137d' - - '#1960ae' - - '#7ac300' - - '#f2ce00' - - '#ef6a01' - - '#cc0019' - # - id: oil-and-gas - # stacCol: epa-gridded-monthly-emissions - # name: Oil and Gas - # type: raster - # description: Includes emissions from Natural Gas and Petroleum. - # zoomExtent: - # - 0 - # - 20 - # sourceParams: - # assets: 1b2b-natural-gas-production, 1b2a-petroleum - # # expression: 1b2b-natural-gas-production + 1b2a-petroleum - # colormap_name: rainbow - # rescale: - # - 0 - # - 963867416985 - # nodata: 0 - # legend: - # type: gradient - # min: 0 - # max: 963867416985 - # stops: - # - '#60007d' - # - '#30137d' - # - '#1960ae' - # - '#7ac300' - # - '#f2ce00' - # - '#ef6a01' - # - '#cc0019' ---- - - - - ## Monthly Methane Emissions - - A team at Harvard University along with EPA and other coauthors developed a gridded inventory of U.S. anthropogenic methane emissions with 0.1° x 0.1° spatial resolution, monthly temporal resolution, and detailed scale-dependent error characterization. The inventory is designed to be consistent with the 2016 U.S. [EPA Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types. - - This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales. Users of this gridded inventory are asked to cite the original reference (Maasakkers et al., 2016) in their publications. Error estimates are given in that reference. - - Paper: [Maasakkers et. al. 2016, A Gridded National Inventory of U.S. Methane Emissions](https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions#paper) - - - diff --git a/datasets/geos-casa-gfed--cover.jpg b/datasets/geos-casa-gfed--cover.jpg new file mode 100644 index 000000000..25e4d16c6 Binary files /dev/null and b/datasets/geos-casa-gfed--cover.jpg differ diff --git a/datasets/gpw-yearly--cover.png b/datasets/gpw-yearly--cover.png new file mode 100644 index 000000000..168a2b5ad Binary files /dev/null and b/datasets/gpw-yearly--cover.png differ diff --git a/datasets/nasa-sedac-population-density.data.mdx b/datasets/nasa-sedac-population-density.data.mdx new file mode 100644 index 000000000..7c095897b --- /dev/null +++ b/datasets/nasa-sedac-population-density.data.mdx @@ -0,0 +1,102 @@ +--- +id: nasa-sedac-gridded-population-density-yearly +name: Gridded Population of the World (GPW), v4 +description: Provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers, as raster data to facilitate data integration. +usage: + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py' + label: Notebook to trasnform netcdf to COG + title: 'ODIAC CO2 emissions data transformation notebook' + - url: 'https://github.com/NASA-IMPACT/veda-docs/blob/no2-single-item-viz/example-notebooks/no2-single-item-vizualization.ipynb' + label: View example notebook + title: 'Static view in VEDA documentation' +media: + src: ::file ./gpw-yearly--cover.png + alt: aa + author: + name: Columbia University +thematics: + - soceco +sources: + - nasa +product: + - satellite +layers: + - id: nasa-sedac-population + stacCol: nasa-sedac-population-density + name: Population Density + type: raster + description: Gridded population of the world (2000,2005,2010,2015,2020) + zoomExtent: + - 0 + - 20 + sourceParams: + assets: population-density + colormap_name: plasma + rescale: + - 0 + - 1000 + nodata: 0 + compare: + datasetId: nasa-sedac-gridded-population-density-yearly + layerId: nasa-sedac-population + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + unit: + label: persons per sq km + type: gradient + min: 0 + max: 1000 + stops: + - '#310597' + - '#4c02a1' + - '#6600a7' + - '#7e03a8' + - '#9511a1' + - '#aa2395' + - '#bc3587' + - '#cc4778' + - '#da5a6a' + - '#e66c5c' + - '#f0804e' + - '#f89540' + - '#fdac33' + - '#fdc527' + - '#f8df25' +--- + + + + ## Population Density, v4.11 (2000, 2005, 2010, 2015, 2020) + The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research communities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions. + - **Temporal extent:** 2000/07/01 - 2020/07/01 + - **Temporal resolution:** Yearly (5) + - **Spatial extent:** Global + - **Spatial resolution:** 0.5 deg x 0. 5deg + - **Data units:** persons per sq km + - **Data type:** Research + + ## Source Data Product Citation + + ## Contact + + ## Relevant Publications + + ## License + CC BY 4.0 (Creative Commons Attribution 4.0 International) + + ## Acknowledgment + + ## Disclaimer + All data provided in the U.S. GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly. + + ## Data Stewardship + - [Data Management Report] + - [Data Transformation Process](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/NASA_GSFC_wetlands_transformation.py) + - [U.S. GHG Center Data Intake Processing and Verification Report](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/processing_and_confirmation_reports/ODIAC_Processing%20and%20Confirmation%20Report%20.pdf) + - [Notes] + + + \ No newline at end of file diff --git a/datasets/odiac--dataset-cover.jpeg b/datasets/odiac--dataset-cover.jpeg deleted file mode 100644 index bebd484f2..000000000 Binary files a/datasets/odiac--dataset-cover.jpeg and /dev/null differ diff --git a/datasets/odiac--dataset-cover.jpg b/datasets/odiac--dataset-cover.jpg new file mode 100644 index 000000000..484b90cc3 Binary files /dev/null and b/datasets/odiac--dataset-cover.jpg differ diff --git a/datasets/odiac-monthly-2022.data.mdx b/datasets/odiac-monthly-2022.data.mdx index 5db1b5cea..5fc523ff6 100644 --- a/datasets/odiac-monthly-2022.data.mdx +++ b/datasets/odiac-monthly-2022.data.mdx @@ -1,16 +1,19 @@ --- id: odiac-fossil-fuel-co2-emissions-2022 -name: ODIAC - Fossil fuel CO₂ emission monthly data product (1km x 1km) -description: High-spatial resolution global CO₂ emissions data product +name: ODIAC Fossil Fuel CO₂ Emissions +description: A monthly 1 km resolution dataset of fossil fuel carbon dioxide emissions, version 2022 usage: - - url: 'https://github.com/NASA-IMPACT/veda-docs/blob/no2-single-item-viz/example-notebooks/no2-single-item-vizualization.ipynb' - label: View example notebook - title: 'Static view in VEDA documentation' - - url: "https://nasa-veda.2i2c.cloud/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FNASA-IMPACT%2Fveda-docs&urlpath=lab%2Ftree%2Fveda-docs%2Fexample-notebooks%2Fno2-single-item-vizualization.ipynb&branch=no2-single-item-viz" + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/ODIAC_fossil_fuel_geotiff_transformation.py' + label: Notebook to trasnform GeoTIFF to COG + title: 'ODIAC CO2 emissions data transformation notebook' + - url: 'https://github.com/NASA-IMPACT/GHGC_docs/blob/main/user_data_notebooks/fossil_fuel_co2_emissions.ipynb' + label: Notebook to read, visualize, and explore data statistics + title: 'ODIAC CO2 emissions data notebook' + - url: "https://nasa-veda.2i2c.cloud/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FNASA-IMPACT%2Fveda-docs&urlpath=lab%2Ftree%2Fveda-docs%2Fnotebooks%2Fquickstarts%2Fno2-map-plot.ipynb&branch=main" label: Run example notebook - title: 'Interactive session in VEDA 2i2c JupyterHub (requires account)' + title: 'Interactive session in U.S.GHG Centre 2i2c JupyterHub (requires account)' media: - src: ::file ./odiac--dataset-cover.jpeg + src: ::file ./odiac--dataset-cover.jpg alt: White smoke coming from building author: name: Marcin Jozwiak @@ -19,7 +22,8 @@ thematics: - air-quality - co2 sources: - - NASA + - nasa + - nist product: - satellite layers: @@ -27,7 +31,7 @@ layers: stacCol: odiac-fossil-fuel-co2-emissions-2022 name: Fossil Fuel CO₂ Emissions type: raster - description: Monthly CO₂ emissions from fossil fuel combustion, cement production and gas flaring. + description: Monthly, 1 km CO₂ emissions from fossil fuel combustion, cement production and gas flaring. zoomExtent: - 0 - 20 @@ -47,10 +51,10 @@ layers: } legend: unit: - label: gC/m²/d + label: gC m-2 day-1 type: gradient - min: -10 gC/m²/d - max: 300 gC/m²/d + min: -10 + max: 300 stops: - '#60007d' - '#30137d' @@ -63,21 +67,48 @@ layers: - ## Odiac - the most beautiful global map of human-made CO2 emissions - ODIAC (Open-source Data Inventory for Anthropogenic CO2) is a global high-resolution emission data product for fossil fuel carbon dioxide (CO2) emissions, originally developed under the Greenhouse gas Observing SATellite (GOSAT) project at the National Institute for Environmental Studies (NIES), Japan. ODIAC pioneered the combined use of space-based nighttime light data and individual power plant emission/location profiles to estimate the global spatial extent of fossil fuel CO2 emissions. With the innovative emission modeling approach, ODIAC achieved the fine picture of global fossil fuel CO2 emissions at a 1x1km, possibly the most beautiful global picture of human-made emissions. As seen in a number of publications in the literature, the ODIAC emission data product has been widely used by the international research community for a variety of research applications (e.g. CO2 flux inversion, urban emission estimation, and observing system design experiments). - ## Data Product Citation - Oda, T., & Maksyutov, S. (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) - ## Related Publications - 1.Oda, T., & Maksyutov, S. (2011). A very high-resolution (1 km× 1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics, 11(2), 543-556. + 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 to estimate the global spatial extent of fossil fuel CO2 emissions on a 1km x 1km grid that details variations in urban regions where emissions are most intense. 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. First created in 2009 by Dr. Tomohiro Oda, the ODIAC team is now supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, NASA Orbiting Carbon Observatory mission and the National Institute for Environmental Studies (NIES) GOSAT project. The U.S. GHG Center contains the ODIAC2022 version containing monthly data from January 2000 to December 2022 that replaces all previous versions. + + - **Temporal extent:** 2000/01 - 2021/12 + - **Temporal resolution:** Monthly + - **Spatial extent:** Global + - **Spatial resolution:** 1 km x 1 km + - **Data units:** gC m-2 day-1 + - **Data type:** Research + + ## Source Data Product Citation + Oda, T., & Maksyutov, S. (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) [Link](https://www.nies.go.jp/doi/10.17595/20170411.001-e.html) + + ## Contact + - The ODIAC team (help@odiac.org) + - Dr. Shamil Maksyutov (NIES contact point) + - Dr. Tomohiro Oda (Project lead) - 2.Oda, T., Maksyutov, S., & Andres, R. J. (2018). The Open-source Data Inventory for Anthropogenic CO 2, version 2016 (ODIAC2016): a global monthly fossil fuel CO 2 gridded emissions data product for tracer transport simulations and surface flux inversions. Earth System Science Data, 10(1), 87-107. + ## 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 + + Gilfillan, D. and Marland, G. 2021. CDIAC-FF: global and national CO2 emissions from fossil fuel combustion and cement manufacture: 1751-2017, Earth Syst. Sci. Data, 13, 1667-1680, https://doi.org/10.5194/essd-13-1667-2021, 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 + + 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, Atmos. Chem. Phys., 11, 543-556, 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 Syst. Sci. Data, 10, 87-107, https://doi.org/10.5194/essd-10-87-2018. + ## License CC BY 4.0 (Creative Commons Attribution 4.0 International) - ## Contact - The ODIAC team (help@odiac.org) - Dr. Shamil Maksyutov (NIES contact point) - Dr. Tomohiro Oda (Project lead) + ## Acknowledgment - The Odiac team is supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, NASA Orbiting Carbon Observatory mission and NIES GOSAT project.​ + The ODIAC team is supported by NASA Goddard Space Flight Center, NASA Carbon Monitoring System program, NASA Orbiting Carbon Observatory mission and NIES GOSAT project.​ + + ## Disclaimer + All data provided in the U.S. GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly. + + ## Data Stewardship + - [Data Management Report] + - [Data Transformation](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/cog_transformation_scripts/ODIAC_fossil_fuel_geotiff_transformation.py) + - [U.S. GHG Center Data Intake Processing and Verification Report](https://github.com/NASA-IMPACT/GHGC_docs/blob/main/processing_and_confirmation_reports/ODIAC_Processing%20and%20Confirmation%20Report%20.pdf) + - [Notes] + diff --git a/overrides/about.mdx b/overrides/about.mdx index 1a6bf18e0..a4926f52c 100644 --- a/overrides/about.mdx +++ b/overrides/about.mdx @@ -1,6 +1,6 @@ --- title: About the Dashboard -description: Exploring Greenhouse Gas Data; Driving Sustainable Strategies through Powerful Analysis +description: Exploring Greenhouse Gas Data, Driving Sustainable Strategies through Powerful Analysis --- @@ -8,7 +8,7 @@ description: Exploring Greenhouse Gas Data; Driving Sustainable Strategies throu At Greenhouse Gas Monitoring and Information Center, we are a dedicated team committed to providing robust data system and technical support capabilities to the Greenhouse Gas Monitoring and Information Center. Our mission is to empower researchers, policymakers, and stakeholders by offering innovative solutions for managing, analyzing, and disseminating greenhouse gas (GHG) data. - Through our expertise in data management and cutting-edge technologies, we have developed a comprehensive system that efficiently manages, hosts, processes, explores, visualizes, and distributes GHG Center-relevant data. Our user-friendly platform enables seamless access to a wealth of information, allowing users to make informed decisions and drive effective climate action. + Through our expertise in data management and cutting-edge technologies, we have developed a comprehensive system that efficiently manages, hosts, processes, explores, visualizes, and distributes U.S. GHG Center-relevant data. Our user-friendly platform enables seamless access to a wealth of information, allowing users to make informed decisions and drive effective climate action. We take pride in our ability to develop customized products and data services tailored to the specific needs of our users. By collaborating closely with the GHG Monitoring and Information Center and understanding the requirements of its diverse user base, we continuously enhance our capabilities to meet evolving demands. Whether it's generating insightful reports, creating interactive visualizations, or facilitating data integration, our solutions enable users to derive meaningful insights and drive impactful change. diff --git a/overrides/components/header-brand/component.tsx b/overrides/components/header-brand/component.tsx index 4a37e25ca..248e3a4ba 100644 --- a/overrides/components/header-brand/component.tsx +++ b/overrides/components/header-brand/component.tsx @@ -50,7 +50,7 @@ export default function HeaderComponent() { - U.S. GHG Center + U.S. Greenhouse Gas Center ); diff --git a/overrides/components/page-footer/component.tsx b/overrides/components/page-footer/component.tsx index e02364c15..026bf9866 100644 --- a/overrides/components/page-footer/component.tsx +++ b/overrides/components/page-footer/component.tsx @@ -8,7 +8,7 @@ export default function PageFooter(props) { return (

- By GHG Center on{" "} + By U.S. GHG Center on{" "} diff --git a/overrides/home.mdx b/overrides/home.mdx index cae4133e4..5631acf3f 100644 --- a/overrides/home.mdx +++ b/overrides/home.mdx @@ -1,6 +1,6 @@ --- -title: GHG Monitoring and Information Center -description: Exploring Greenhouse Gas Data; Driving Sustainable Strategies through Powerful Analysis +title: U.S. Greenhouse Gas Center +description: Exploring Greenhouse Gas Data, Driving Sustainable Strategies through Powerful Analysis cover: src: ::file ./home-cover.jpg alt: Puffy white clouds in a blue sky @@ -25,19 +25,17 @@ export const LogoWrapper = styled.div` - ## Courtesy of Chat GPT - - Welcome to the GHG Center, your one-stop destination for all things related to greenhouse gas emissions! Our website offers a vast collection of datasets that are designed to help researchers, policymakers, and concerned citizens understand and mitigate the effects of climate change. Our team of experts has curated and compiled the most up-to-date and comprehensive data on greenhouse gas emissions from various sources, such as industry, transportation, and agriculture. + Welcome to the U.S. GHG Center, your one-stop destination for all things related to greenhouse gas emissions! Our website offers a vast collection of datasets that are designed to help researchers, policymakers, and concerned citizens understand and mitigate the effects of climate change. Our team of experts has curated and compiled the most up-to-date and comprehensive data on greenhouse gas emissions from various sources, such as industry, transportation, and agriculture. Our datasets are sourced from reputable organizations and are regularly updated to ensure accuracy and reliability. Whether you're interested in tracking the global carbon footprint or studying the impact of local emissions on air quality, our datasets provide a wealth of information to support your research and decision-making. You can browse our collection by category or search for specific data points using our advanced search feature. We also offer data visualization tools that make it easy to interpret and communicate complex data. - + - At the GHG Center, we're committed to promoting awareness and action on climate change. We believe that data is a powerful tool for informing policies and driving meaningful change. Our website is open to everyone, and we encourage you to explore our datasets and share your findings with others. Together, we can work towards a more sustainable future and reduce our impact on the environment. Join us in the fight against climate change today! + At the U.S. GHG Center, we're committed to promoting awareness and action on climate change. We believe that data is a powerful tool for informing policies and driving meaningful change. Our website is open to everyone, and we encourage you to explore our datasets and share your findings with others. Together, we can work towards a more sustainable future and reduce our impact on the environment. Join us in the fight against climate change today! diff --git a/overrides/partnership.mdx b/overrides/partnership.mdx index 1138e96de..8fab33ec6 100644 --- a/overrides/partnership.mdx +++ b/overrides/partnership.mdx @@ -7,7 +7,7 @@ description: - At the GHG center, we are proud to collaborate with esteemed organizations and institutions to deliver high-quality content and services to our users. Through our partnerships, we aim to foster innovation, promote scientific advancements, and provide reliable information to empower individuals and communities. We are grateful for the support and expertise of our valued partners, including NASA, NIST, NOAA, and EPA. + At the U.S. GHG Center, we are proud to collaborate with esteemed organizations and institutions to deliver high-quality content and services to our users. Through our partnerships, we aim to foster innovation, promote scientific advancements, and provide reliable information to empower individuals and communities. We are grateful for the support and expertise of our valued partners, including NASA, NIST, NOAA, and EPA.