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:
-
- Joint Global Change Research Institute, Pacific Northwest National Laboratory
- Contributors:
-
Other:
- Universities Space Research Association
- Joint Global Change Research Institute, Pacific Northwest National Laboratory
- Lawrence Berkeley National Laboratory
- 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}
}