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CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018-2021

Metadata Updated: December 7, 2023

This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale. Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution. The data are provided in NetCDF format.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Interannual variation in gross primary productivity (GPP) across conterminous United States. Map of annual mean GPP for 2018 (a) and 2019 (b). Map of the difference in annual mean GPP between 2019 and 2018 (c) wherein red indicates higher GPP in 2019 and blue indicates higher GPP in 2018. The inset in the bottom left corner shows a time series of the average GPP across CONUS for 2018 and 2019. Source: Turner et al. (2021)

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 7, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2390701035-ORNL_CLOUD
Data First Published 2022-04-07
Language en-US
Data Last Modified 2023-07-17
Category CMS, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Turner, A.J., P. Koehler, T. Magney, C. Frankenberg, I. Fung, and R.C. Cohen. 2021. CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018-2021. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1875
Graphic Preview Description Interannual variation in gross primary productivity (GPP) across conterminous United States. Map of annual mean GPP for 2018 (a) and 2019 (b). Map of the difference in annual mean GPP between 2019 and 2018 (c) wherein red indicates higher GPP in 2019 and blue indicates higher GPP in 2018. The inset in the bottom left corner shows a time series of the average GPP across CONUS for 2018 and 2019. Source: Turner et al. (2021)
Graphic Preview File https://daac.ornl.gov/CMS/guides/GPP_CONUS_TROPOMI_Fig1.png
Harvest Object Id 8cd075f2-2fb0-42c9-9630-bb684258e282
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/1875
Metadata Type geospatial
Old Spatial -125.0 24.0 -65.0 50.0
Program Code 026:001
Source Datajson Identifier True
Source Hash 3d64a233df4ca8cac6c958bc95f1725453163efb129795072548abf0e09cb0e6
Source Schema Version 1.1
Spatial
Temporal 2018-02-15T00:00:00Z/2021-10-15T23:59:59Z

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