Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Joint Global Change Research Institute, Pacific Northwest National
Laboratory and University of Maryland, College Park, MD 20740, USA
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Junyu Qi
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, 5825 University Research Ct, College Park, MD 20740, USA
Xuesong Zhang
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, 5825 University Research Ct, College Park, MD 20740, USA
Joint Global Change Research Institute, Pacific Northwest National
Laboratory and University of Maryland, College Park, MD 20740, USA
Yue Zeng
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Wei Shui
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Zhanghua Xu
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Rongrong Zhang
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Xiaoping Wu
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Jiang Cong
School of Urban Planning and Design, Peking University, Shenzhen,
Guangdong, 518055, China
Viewed
Total article views: 10,757 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
7,867
2,757
133
10,757
138
216
HTML: 7,867
PDF: 2,757
XML: 133
Total: 10,757
BibTeX: 138
EndNote: 216
Views and downloads (calculated since 06 Oct 2020)
Cumulative views and downloads
(calculated since 06 Oct 2020)
Total article views: 9,888 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
7,335
2,430
123
9,888
122
195
HTML: 7,335
PDF: 2,430
XML: 123
Total: 9,888
BibTeX: 122
EndNote: 195
Views and downloads (calculated since 11 Feb 2021)
Cumulative views and downloads
(calculated since 11 Feb 2021)
Total article views: 869 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
532
327
10
869
16
21
HTML: 532
PDF: 327
XML: 10
Total: 869
BibTeX: 16
EndNote: 21
Views and downloads (calculated since 06 Oct 2020)
Cumulative views and downloads
(calculated since 06 Oct 2020)
Viewed (geographical distribution)
Total article views: 10,757 (including HTML, PDF, and XML)
Thereof 10,152 with geography defined
and 605 with unknown origin.
Total article views: 9,888 (including HTML, PDF, and XML)
Thereof 9,477 with geography defined
and 411 with unknown origin.
Total article views: 869 (including HTML, PDF, and XML)
Thereof 675 with geography defined
and 194 with unknown origin.
(1) The SPEI has been widely used to monitor and assess drought characteristics.
(2) A multi-scale daily SPEI dataset was developed across mainland China from 1961 to 2018.
(3) The daily SPEI dataset can identify the start and end days of a drought event.
(4) The daily SPEI dataset developed is free, open, and publicly available from this study.
(1) The SPEI has been widely used to monitor and assess drought characteristics.
(2) A...