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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Revised manuscript accepted for ESSD
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Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, Italy: Rome, available at: http://www.fao.org/3/x0490E/x0490e00.htm (last access: 20 January 2021), 1998. 
Augustine, J. A., DeLuisi, J. J., and Long, C. N.: SURFRAD – A national surface radiation budget network for atmospheric research, B. Am. Meteorol. Soc., 81, 2341–2357, https://doi.org/10.1175/1520-0477(2000)081<2341:SANSRB>2.3.CO;2, 2000. 
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. 
Badgley, G., Field, C. B., and Berry, J. A.: Canopy near-infrared reflectance and terrestrial photosynthesis, Sci. Adv., 3, 1–6, https://doi.org/10.1126/sciadv.1602244, 2017. 
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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