Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-281-2021
https://doi.org/10.5194/essd-13-281-2021
Data description paper
 | 
09 Feb 2021
Data description paper |  | 09 Feb 2021

A daily, 250 m and real-time gross primary productivity product (2000–present) covering the contiguous United States

Chongya Jiang, Kaiyu Guan, Genghong Wu, Bin Peng, and Sheng Wang

Data sets

SLOPE daily and 250 m gross primary productivity (GPP) for the CONUS, 2000-2019 Chongya Jiang and Kaiyu Guan https://doi.org/10.3334/ORNLDAAC/1786

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Short summary
Photosynthesis, quantified by gross primary production (GPP), is a key Earth system process. To date, there is a lack of a high-spatiotemporal-resolution, real-time and observation-based GPP dataset. This work addresses this gap by developing a SatelLite Only Photosynthesis Estimation (SLOPE) model and generating a new GPP product, which is advanced in spatial and temporal resolutions, instantaneity, and quantitative uncertainty. The dataset will benefit a range of research and applications.
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