Global high-resolution drought indices for 1981-2022

Gebrechorkos, Solomon H.; Peng, Jian; Dyer, Ellen; Miralles, Diego G.; Vicente-Serrano, Sergio M.; Funk, Chris; Beck, Hylke E.; Asfaw, Dagmawi T.; Singer, Michael B.; Dadson, Simon J. ORCID: https://orcid.org/0000-0002-6144-4639. 2023 Global high-resolution drought indices for 1981-2022. Earth System Science Data, 15 (12). 5449-5466. https://doi.org/10.5194/essd-15-5449-2023

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Abstract/Summary

Droughts are among the most complex and devastating natural hazards globally. High-resolution datasets of drought metrics are essential for monitoring and quantifying the severity, duration, frequency, and spatial extent of droughts at regional and particularly local scales. However, current global drought indices are available only at a coarser spatial resolution (>50 km). To fill this gap, we developed four high-resolution (5 km) gridded drought records based on the standardized precipitation evaporation index (SPEI) covering the period 1981–2022. These multi-scale (1–48 months) SPEI indices are computed based on monthly precipitation (P) from the Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS, version 2) and Multi-Source Weighted-Ensemble Precipitation (MSWEP, version 2.8), and potential evapotranspiration (PET) from the Global Land Evaporation Amsterdam Model (GLEAM, version 3.7a) and hourly Potential Evapotranspiration (hPET). We generated four SPEI records based on all possible combinations of P and PET datasets: CHIRPS_GLEAM, CHIRPS_hPET, MSWEP_GLEAM, and MSWEP_hPET. These drought records were evaluated globally and exhibited excellent agreement with observation-based estimates of SPEI, root zone soil moisture, and vegetation health indices. The newly developed high-resolution datasets provide more detailed local information and can be used to assess drought severity for particular periods and regions and to determine global, regional, and local trends, thereby supporting the development of site-specific adaptation measures. These datasets are publicly available at the Centre for Environmental Data Analysis (CEDA; https://doi.org/10.5285/ac43da11867243a1bb414e1637802dec) (Gebrechorkos et al., 2023).

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/essd-15-5449-2023
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	1866-3516
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Meteorology and Climatology Data and Information
Related URLs:	Dataset
Date made live:	29 Sep 2023 14:03 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535846

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