Preprints
https://doi.org/10.5194/hess-2022-124
https://doi.org/10.5194/hess-2022-124
 
01 Apr 2022
01 Apr 2022
Status: this preprint is currently under review for the journal HESS.

Global assessment of sub-national drought impact based on the Geocoded Disasters dataset and land reanalysis

Yuya Kageyama and Yohei Sawada Yuya Kageyama and Yohei Sawada
  • Institute of Engineering Innovation, The University of Tokyo, Tokyo, 113-8656, Japan

Abstract. Despite the importance of a linkage between hydro-meteorological drought hazards and their socio-economic impact, the linkage at a sub-national level has yet to be evaluated due to the lack of precise sub-national information on disaster locations. Using the newly developed Geocoded Disasters (GDIS) dataset, we examined whether the sub-national socio-economic drought information could be represented by hydro-meteorological hazards quantified from soil moisture in ERA5-Land during 1964–2018. We found that ERA5-Land soil moisture accurately captured the socio-economic impacts of drought shown in GDIS. Our comparison between GDIS and ERA5-Land can quantify vulnerability to drought, and we found that Sub-Saharan Africa and South Asia were vulnerable to drought while North America and Europe were robust to drought. Both GDIS and ERA5-Land indicated that the Horn of Africa, northern China, and western India were drought-prone areas. Since it is difficult for national-level analyses to accurately identify the locations of drought-prone areas especially in large countries such as China and India, our analysis clarifies the importance of the use of the sub-national disaster information.

Yuya Kageyama and Yohei Sawada

Status: open (until 27 May 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-124', Jakob Zscheischler, 22 Apr 2022 reply
  • RC2: 'Comment on hess-2022-124', Mariana Madruga de Brito, 29 Apr 2022 reply

Yuya Kageyama and Yohei Sawada

Yuya Kageyama and Yohei Sawada

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Short summary
This study explores the linkage between hydro-meteorological drought and their socio-economic impact at a sub-national scale based on the newly developed disaster dataset with sub-national location information. Vulnerability to drought in different regions was quantified. Hydro-meteorological drought-prone areas were generally consistent with socio-economic drought-prone areas. Our analysis clarifies the importance of the use of the sub-national disaster information.