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: 11,629 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
8,454
3,019
156
11,629
167
252
HTML: 8,454
PDF: 3,019
XML: 156
Total: 11,629
BibTeX: 167
EndNote: 252
Views and downloads (calculated since 06 Oct 2020)
Cumulative views and downloads
(calculated since 06 Oct 2020)
Total article views: 10,725 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
7,915
2,666
144
10,725
149
228
HTML: 7,915
PDF: 2,666
XML: 144
Total: 10,725
BibTeX: 149
EndNote: 228
Views and downloads (calculated since 11 Feb 2021)
Cumulative views and downloads
(calculated since 11 Feb 2021)
Total article views: 904 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
539
353
12
904
18
24
HTML: 539
PDF: 353
XML: 12
Total: 904
BibTeX: 18
EndNote: 24
Views and downloads (calculated since 06 Oct 2020)
Cumulative views and downloads
(calculated since 06 Oct 2020)
Viewed (geographical distribution)
Total article views: 11,629 (including HTML, PDF, and XML)
Thereof 11,027 with geography defined
and 602 with unknown origin.
Total article views: 10,725 (including HTML, PDF, and XML)
Thereof 10,317 with geography defined
and 408 with unknown origin.
Total article views: 904 (including HTML, PDF, and XML)
Thereof 710 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...
