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

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Cited articles

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Bacour, C., Maignan, F., Peylin, P., MacBean, N., Bastrikov, V., Joiner, J., Köhler, P., Guanter, L., and Frankenberg, C.: Differences Between OCO-2 and GOME-2 SIF Products From a Model-Data Fusion Perspective, J. Geophys. Res.-Biogeosci., 124, 3143–3157, https://doi.org/10.1029/2018JG004938, 2019. 
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Badgley, G., Anderegg, L. D., Berry, J. A., and Field, C. B.: Terrestrial Gross Primary Production: Using NIR V to Scale from Site to Globe, Glob. Chang. Biol., 25, 3731–3740,, https://doi.org/10.1111/gcb.14729, 2019. 
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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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