Global high-resolution drought indices for 1981–2022
<p>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, curren...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-12-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/5449/2023/essd-15-5449-2023.pdf |
| _version_ | 1797404940649365504 |
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| author | S. H. Gebrechorkos S. H. Gebrechorkos J. Peng J. Peng E. Dyer D. G. Miralles S. M. Vicente-Serrano C. Funk H. E. Beck D. T. Asfaw M. B. Singer M. B. Singer S. J. Dadson S. J. Dadson |
| author_facet | S. H. Gebrechorkos S. H. Gebrechorkos J. Peng J. Peng E. Dyer D. G. Miralles S. M. Vicente-Serrano C. Funk H. E. Beck D. T. Asfaw M. B. Singer M. B. Singer S. J. Dadson S. J. Dadson |
| author_sort | S. H. Gebrechorkos |
| collection | DOAJ |
| description | <p>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 (<span class="inline-formula">>50</span> 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 (<span class="inline-formula"><i>P</i></span>) 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 <span class="inline-formula"><i>P</i></span> 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; <a href="https://doi.org/10.5285/ac43da11867243a1bb414e1637802dec">https://doi.org/10.5285/ac43da11867243a1bb414e1637802dec</a>) (Gebrechorkos et al., 2023).</p> |
| first_indexed | 2024-03-09T03:03:21Z |
| format | Article |
| id | doaj.art-d4f57620d96f496c89632cf8c60075cc |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-03-09T03:03:21Z |
| publishDate | 2023-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-d4f57620d96f496c89632cf8c60075cc2023-12-04T10:57:10ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-12-01155449546610.5194/essd-15-5449-2023Global high-resolution drought indices for 1981–2022S. H. Gebrechorkos0S. H. Gebrechorkos1J. Peng2J. Peng3E. Dyer4D. G. Miralles5S. M. Vicente-Serrano6C. Funk7H. E. Beck8D. T. Asfaw9M. B. Singer10M. B. Singer11S. J. Dadson12S. J. Dadson13School of Geography and the Environment, University of Oxford, OX1 3QY Oxford, UKSchool of Geography and Environmental Science, University of Southampton, SO17 1BJ Southampton, UKDepartment of Remote Sensing, Helmholtz Centre for Environmental Research – UFZ, 04318 Leipzig, GermanyRemote Sensing Centre for Earth System Research – RSC4Earth, Leipzig University, 04103 Leipzig, GermanySchool of Geography and the Environment, University of Oxford, OX1 3QY Oxford, UKHydro-Climatic Extremes Lab (H-CEL), Ghent University, Ghent, BelgiumInstituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC) Zaragoza, SpainSanta Barbara Climate Hazards Center, University of California, Santa Barbara, California, USAClimate and Livability Initiative, King Abdullah University of Science and Technology, Thuwal 23955, Saudi ArabiaSchool of Geographical Sciences, University of Bristol, BS8 1SS Bristol, UKSchool of Earth and Environmental Sciences, Cardiff University, CF10 3AT Cardiff, UKEarth Research Institute, University of California, Santa Barbara, California, USASchool of Geography and the Environment, University of Oxford, OX1 3QY Oxford, UKUK Centre for Ecology and Hydrology, OX10 8BB Wallingford, UK<p>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 (<span class="inline-formula">>50</span> 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 (<span class="inline-formula"><i>P</i></span>) 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 <span class="inline-formula"><i>P</i></span> 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; <a href="https://doi.org/10.5285/ac43da11867243a1bb414e1637802dec">https://doi.org/10.5285/ac43da11867243a1bb414e1637802dec</a>) (Gebrechorkos et al., 2023).</p>https://essd.copernicus.org/articles/15/5449/2023/essd-15-5449-2023.pdf |
| spellingShingle | S. H. Gebrechorkos S. H. Gebrechorkos J. Peng J. Peng E. Dyer D. G. Miralles S. M. Vicente-Serrano C. Funk H. E. Beck D. T. Asfaw M. B. Singer M. B. Singer S. J. Dadson S. J. Dadson Global high-resolution drought indices for 1981–2022 Earth System Science Data |
| title | Global high-resolution drought indices for 1981–2022 |
| title_full | Global high-resolution drought indices for 1981–2022 |
| title_fullStr | Global high-resolution drought indices for 1981–2022 |
| title_full_unstemmed | Global high-resolution drought indices for 1981–2022 |
| title_short | Global high-resolution drought indices for 1981–2022 |
| title_sort | global high resolution drought indices for 1981 2022 |
| url | https://essd.copernicus.org/articles/15/5449/2023/essd-15-5449-2023.pdf |
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