Articles | Volume 12, issue 3
Earth Syst. Sci. Data, 12, 2209–2221, 2020
https://doi.org/10.5194/essd-12-2209-2020
Earth Syst. Sci. Data, 12, 2209–2221, 2020
https://doi.org/10.5194/essd-12-2209-2020

Data description paper 15 Sep 2020

Data description paper | 15 Sep 2020

DSCOVR/EPIC-derived global hourly and daily downward shortwave and photosynthetically active radiation data at 0.1° × 0.1° resolution

Dalei Hao et al.

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AR by Anna Wenzel on behalf of the Authors (23 Jul 2020)  Author's response
ED: Publish as is (03 Aug 2020) by David Carlson
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Short summary
We adopted machine-learning models to generate the first global land products of SW–PAR based on DSCOVR/EPIC data. Our products are consistent with ground-based observations, capture the spatiotemporal patterns well and accurately track substantial diurnal, monthly and seasonal variations in SW–PAR. Our products provide a valuable alternative for solar photovoltaic applications and can be used to improve our understanding of the diurnal cycles of terrestrial water, carbon and energy fluxes.