Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Feb 2021
Data description paper |
| 11 Feb 2021
| 11 Feb 2021
A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018
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
Jingyu Zeng
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
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The standardized precision index (SPI), which is commonly used for drought monitoring and assessment, is limited by its temporal resolution and cannot identify flash drought in less than one month. Therefore, we developed a new daily SPI dataset. The results show that the drought events identified by our SPI dataset were consistent with the historical drought events, which is effective and reliable. At the same time, the dataset will be open to the public free of charge.
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Watershed modeling is important to protect water resources. However, errors are involved in watershed modeling. To reduce errors, remotely sensed evapotranspiration data are widely used. However, the use of remotely sensed evapotranspiration data still includes errors. This study applied two remotely sensed data (evapotranspiration and leaf area index) into watershed modeling to reduce errors. The results showed advancement of watershed modeling by two remotely sensed data.
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The standardized precision index (SPI), which is commonly used for drought monitoring and assessment, is limited by its temporal resolution and cannot identify flash drought in less than one month. Therefore, we developed a new daily SPI dataset. The results show that the drought events identified by our SPI dataset were consistent with the historical drought events, which is effective and reliable. At the same time, the dataset will be open to the public free of charge.
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Short summary
(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...
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