ArticleScientific data2024
The first global multi-timescale daily SPEI dataset from 1982 to 2021.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- NASA's ECOSTRESS satellite reveals widespread midday depression in ecosystem evapotranspiration.Nature communications · 2026Article
- Elephant space use and habitat selection change across drought timescales.The Journal of animal ecology · 2026Article
- Gaps and ways forward in atmospheric blocking and extreme weather research.Nature communications · 2026Review
- Record-breaking emergence of upstream-downstream zonal-consistent variation in the Eurasian jet axis.Nature communications · 2026Article
- Anthropogenically-driven escalating impact of soil-based compound dry-hot extremes on vegetation productivity.Nature communications · 2026Article
- Human-induced temperature rise is driving Africa towards drought-prone climatic conditions.Scientific reports · 2026Article
- Projection of climate change impact on the occurrence of drought events in Poland.Scientific reports · 2025Article
- Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China.PloS one · 2025Article
- The first global multi-timescale daily SPEI dataset from 1982 to 2021.Scientific data · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Global warming accelerates water cycle, causing more droughts globally that challenge monitoring and forecasting. The Standardized Precipitation Evapotranspiration Index (SPEI) is used to assess drought characteristics and response time of natural and economic systems at various timescales. However, existing SPEI datasets have coarse spatial or temporal resolution or limited spatial extent, restricting their ability to accurately identify the start or end dates or the extent of drought at the global scale. To narrow these gaps, we developed a global daily SPEI dataset (SPEI-GD), with a 0.25° spatial resolution from 1982 to 2021 at multiple timescales (5, 30, 90, 180 and 360 days), based on the precipitation from European Center for Medium Weather Forecasting Reanalysis V5 (ERA5) dataset and the potential evapotranspiration from Singer's dataset. Compared to widely used SPEIbase dataset, the SPEI-GD can improve the spatial-temporal resolution and the accuracy of SPEI in areas where meteorological sites are lacking. The SPEI-GD significantly correlates with site-based SPEI and soil moisture. Our dataset solidly supports sub-seasonal and daily-scale global and regional drought research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.