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

Related authors

Global 1km Land Surface Parameters for Kilometer-Scale Earth System Modeling
Lingcheng Li, Gautam Bisht, Dalei Hao, and Lai-Yung Ruby Leung
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-242,https://doi.org/10.5194/essd-2023-242, 2023
Preprint under review for ESSD
Short summary
Development of Inter-Grid Cell Lateral Unsaturated and Saturated Flow Model in the E3SM Land Model (v2.0)
Han Qiu, Gautam Bisht, Lingcheng Li, Dalei Hao, and Donghui Xu
EGUsphere, https://doi.org/10.5194/egusphere-2023-375,https://doi.org/10.5194/egusphere-2023-375, 2023
Short summary
Evaluation of E3SM land model snow simulations over the western United States
Dalei Hao, Gautam Bisht, Karl Rittger, Timbo Stillinger, Edward Bair, Yu Gu, and L. Ruby Leung
The Cryosphere, 17, 673–697, https://doi.org/10.5194/tc-17-673-2023,https://doi.org/10.5194/tc-17-673-2023, 2023
Short summary
Global and northern-high-latitude net ecosystem production in the 21st century from CMIP6 experiments
Han Qiu, Dalei Hao, Yelu Zeng, Xuesong Zhang, and Min Chen
Earth Syst. Dynam., 14, 1–16, https://doi.org/10.5194/esd-14-1-2023,https://doi.org/10.5194/esd-14-1-2023, 2023
Short summary
Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau
Dalei Hao, Gautam Bisht, Karl Rittger, Edward Bair, Cenlin He, Huilin Huang, Cheng Dang, Timbo Stillinger, Yu Gu, Hailong Wang, Yun Qian, and L. Ruby Leung
Geosci. Model Dev., 16, 75–94, https://doi.org/10.5194/gmd-16-75-2023,https://doi.org/10.5194/gmd-16-75-2023, 2023
Short summary

Related subject area

Atmospheric chemistry and physics
Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets
Sandip S. Dhomse and Martyn P. Chipperfield
Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023,https://doi.org/10.5194/essd-15-5105-2023, 2023
Short summary
High-resolution aerosol data from the top 3.8 kyr of the East Greenland Ice coring Project (EGRIP) ice core
Tobias Erhardt, Camilla Marie Jensen, Florian Adolphi, Helle Astrid Kjær, Remi Dallmayr, Birthe Twarloh, Melanie Behrens, Motohiro Hirabayashi, Kaori Fukuda, Jun Ogata, François Burgay, Federico Scoto, Ilaria Crotti, Azzurra Spagnesi, Niccoló Maffezzoli, Delia Segato, Chiara Paleari, Florian Mekhaldi, Raimund Muscheler, Sophie Darfeuil, and Hubertus Fischer
Earth Syst. Sci. Data, 15, 5079–5091, https://doi.org/10.5194/essd-15-5079-2023,https://doi.org/10.5194/essd-15-5079-2023, 2023
Short summary
A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021
Chaoyang Xue, Gisèle Krysztofiak, Vanessa Brocchi, Stéphane Chevrier, Michel Chartier, Patrick Jacquet, Claude Robert, and Valéry Catoire
Earth Syst. Sci. Data, 15, 4553–4569, https://doi.org/10.5194/essd-15-4553-2023,https://doi.org/10.5194/essd-15-4553-2023, 2023
Short summary
A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements
Goutam Choudhury and Matthias Tesche
Earth Syst. Sci. Data, 15, 3747–3760, https://doi.org/10.5194/essd-15-3747-2023,https://doi.org/10.5194/essd-15-3747-2023, 2023
Short summary
A monthly 1° resolution dataset of daytime cloud fraction over the Arctic during 2000–2020 based on multiple satellite products
Xinyan Liu, Tao He, Shunlin Liang, Ruibo Li, Xiongxin Xiao, Rui Ma, and Yichuan Ma
Earth Syst. Sci. Data, 15, 3641–3671, https://doi.org/10.5194/essd-15-3641-2023,https://doi.org/10.5194/essd-15-3641-2023, 2023
Short summary

Cited articles

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, 2341–2358, 2000. 
Boland, J., David, M., and Lauret, P.: Short term solar radiation forecasting: Island versus continental sites, Energy, 113, 186–192, 2016. 
Burt, J. and Smith, B.: Deep space climate observatory: The DSCOVR mission, 2012 IEEE Aerospace Conference, Big Sky, MT, USA, 3–10 March 2012, 1–13, 2012. 
Chen, M. and Zhuang, Q.: Evaluating aerosol direct radiative effects on global terrestrial ecosystem carbon dynamics from 2003 to 2010, Tellus B, 66, 21808, 2014. 
Damm, A., Elbers, J., Erler, A., Gioli, B., Hamdi, K., Hutjes, R., Kosvancova, M., Meroni, M., Miglietta, F., and Moersch, A.: Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP), Glob. Change Biol., 16, 171–186, 2010. 
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