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Preprints
https://doi.org/10.5194/essd-2020-172
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-172
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  06 Oct 2020

06 Oct 2020

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This preprint is currently under review for the journal ESSD.

A Multi-Scale Daily SPEI Dataset for Drought Monitoring at Observation Stations over the Mainland China from 1961 to 2018

Qianfeng Wang1,3, Jingyu Zeng1, Junyu Qi2, Xuesong Zhang2,3, Yue Zeng1, Wei Shui1, Zhanghua Xu1, Rongrong Zhang1, and Xiaoping Wu1 Qianfeng Wang et al.
  • 1Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection/College of Environment and Resource, Fuzhou University, Fuzhou, 350116, China
  • 2Earth System Science Interdisciplinary Center, University of Maryland, College Park, 5825 University Research Ct, College Park, MD, 20740, USA
  • 3Joint Global Change Research Institute, Pacific Northwest National Laboratory and University of Maryland, College Park, MD 20740, USA

Abstract. The monthly Standardized Precipitation Evapotranspiration Index (SPEI) can monitor and assess drought characteristics with one month or longer drought duration. Based on data from 1961 to 2018 at 427 meteorological stations across the mainland China, we developed a daily SPEI dataset to overcome the shortcoming of coarse temporal scale of monthly SPEI. Our dataset not only can identify the start and end dates of drought events, but also can be used to investigate the meteorological, agricultural, hydrological and socioeconomic droughts with different time scales. In the present study, the SPEI data with 3-month scale were taken as a demonstration example to analyze spatial distribution and temporal changes in drought conditions for the mainland China. The SPEI data with 3-month scale showed no obvious intensifying trends in terms of severity, duration, and frequency of drought events from 1961 to 2018. Our drought dataset serves as a unique resource with daily resolution to a variety of research communities including meteorology, geography, and natural hazard studies. The daily SPEI dataset developed is free, open and persistent publicly available from this study. The dataset is publicly available via the figshare portal (Wang et al, 2020), with https://doi.org/10.6084/m9.figshare.12568280.

Qianfeng Wang et al.

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muliti-scale daily SPEI dataset over the Mainland China from 1961-2018 (version June 2020) Q. Wang, J. Zeng, J. Qi, X. Zhang, Y. Zeng, W. Shui, Z. Xu, R. Zhang, and X. Wu https://doi.org/10.6084/m9.figshare.12568280

Qianfeng Wang et al.

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Short summary
(1) The SPEI has been widely used to monitor and assess the 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 day of the drought event. (4) The daily SPEI dataset developed is free, open, and persistent publicly available from this study.
(1) The SPEI has been widely used to monitor and assess the drought characteristics. (2) A...
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