skip to main content
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A global DSCOVR/EPIC-based hourly/daily shortwave radiation/PAR dataset (in EN)

Abstract

Accurate characterization of the global downward shortwave (SW) and photosynthetically active radiation (PAR) is fundamental for Earth system modeling and global change research. Combined with a machine-learning method, we used the Earth Polychromatic Imaging Camera (EPIC) data onboard the Deep Space Climate Observatory (DSCOVR) to generate the global SW/PAR dataset at both hourly and daily temporal scales and 0.1degree×0.1degree spatial resolution. Covering a period from June, 2015 to June (about 4 years), 2019, the dataset consists of total SW/PAR and their direct and diffuse components. Our dataset will be valuable for understanding the diurnal cycles and seasonal patterns of ecosystem processes, as well as the solar energy utilizations

Authors:
;
  1. Joint Global Change Research Institute, Pacific Northwest National Laboratory
Contributors:
Other: ; ; ; ;

  1. Universities Space Research Association
  2. Joint Global Change Research Institute, Pacific Northwest National Laboratory
  3. Lawrence Berkeley National Laboratory
  4. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Publication Date:
Other Number(s):
Project ID: 205768; Instrument ID: 85000; Upload ID: 1112
DOE Contract Number:  
AC05-76RL01830
Product Type:
Dataset
Research Org.:
Pacific Northwest National Laboratory 2; Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
Subject:
58 GEOSCIENCES; 14 SOLAR ENERGY
OSTI Identifier:
1595069
DOI:
10.25584/data.2020-01.1112/1595069

Citation Formats

Hao, Dalei, Chen, Min, Asrar, Ghassem, Zeng, Yelu, Zhu, Qing, Wen, Jianguang, and Xiao, Qing. A global DSCOVR/EPIC-based hourly/daily shortwave radiation/PAR dataset. United States: N. p., 2020. Web. doi:10.25584/data.2020-01.1112/1595069.
Hao, Dalei, Chen, Min, Asrar, Ghassem, Zeng, Yelu, Zhu, Qing, Wen, Jianguang, & Xiao, Qing. A global DSCOVR/EPIC-based hourly/daily shortwave radiation/PAR dataset. United States. doi:10.25584/data.2020-01.1112/1595069.
Hao, Dalei, Chen, Min, Asrar, Ghassem, Zeng, Yelu, Zhu, Qing, Wen, Jianguang, and Xiao, Qing. 2020. "A global DSCOVR/EPIC-based hourly/daily shortwave radiation/PAR dataset". United States. doi:10.25584/data.2020-01.1112/1595069. https://www.osti.gov/servlets/purl/1595069. Pub date:Mon Jan 27 00:00:00 EST 2020
@article{osti_1595069,
title = {A global DSCOVR/EPIC-based hourly/daily shortwave radiation/PAR dataset},
author = {Hao, Dalei and Chen, Min and Asrar, Ghassem and Zeng, Yelu and Zhu, Qing and Wen, Jianguang and Xiao, Qing},
abstractNote = {Accurate characterization of the global downward shortwave (SW) and photosynthetically active radiation (PAR) is fundamental for Earth system modeling and global change research. Combined with a machine-learning method, we used the Earth Polychromatic Imaging Camera (EPIC) data onboard the Deep Space Climate Observatory (DSCOVR) to generate the global SW/PAR dataset at both hourly and daily temporal scales and 0.1degree×0.1degree spatial resolution. Covering a period from June, 2015 to June (about 4 years), 2019, the dataset consists of total SW/PAR and their direct and diffuse components. Our dataset will be valuable for understanding the diurnal cycles and seasonal patterns of ecosystem processes, as well as the solar energy utilizations},
doi = {10.25584/data.2020-01.1112/1595069},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}