Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-2209-2020
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, Ghassem R. Asrar, Yelu Zeng, Qing Zhu, Jianguang Wen, Qing Xiao, and Min Chen

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Min Chen on behalf of the Authors (15 Jul 2020)  Manuscript 
ED: Publish as is (03 Aug 2020) by David Carlson
AR by Min Chen on behalf of the Authors (04 Aug 2020)
Download
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.
Altmetrics
Final-revised paper
Preprint