Evidence map›Paper›PMID 40229303›Full record

ArticleScientific data2025

ERA5-Drought: Global drought indices based on ECMWF reanalysis.

Jessica Keune, Francesca Di Giuseppe, Christopher Barnard, Eduardo Damasio da Costa, Fredrik Wetterhall

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jessica KeuneEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, UK. jessica.keune@ecmwf.int.ORCID http://orcid.org/0000-0001-6104-2165
Francesca Di GiuseppeEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, UK. francesca.digiuseppe@ecmwf.int.ORCID http://orcid.org/0000-0001-9829-0429
Christopher BarnardEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, UK.
Eduardo Damasio da CostaEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, UK.
Fredrik WetterhallEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, UK.ORCID http://orcid.org/0000-0001-5331-9064

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101057739EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101082720EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101121135
6 · The paper itself

Abstract

Droughts are increasingly intensified by human-induced climate change and pose a growing threat to society. Thus, enhancing our capabilities to monitor drought occurrence and intensity is crucial. This paper introduces a new dataset of drought indices derived from the 5th generation ECMWF reanalysis system (ERA5), which offers long-term monitoring of the global climate in both deterministic and probabilistic forms. This global dataset is freely accessible through an ECMWF-hosted data store, and it entails two prominent drought indices: the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). Both indices are calculated over a range of accumulation periods from 1 month to 4 years and are available for the full ERA5 climatology from 1940 to today. It also contains validation data that indicates the quality of these drought indices. The ERA5-Drought dataset serves as a valuable tool for environmental agencies and supports sectors such as water management and agriculture, thus contributing to efforts that monitor water and food security.

Identifiers

PMID40229303
PMCPMC11997039

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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.