Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-753-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-753-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A pan-African high-resolution drought index dataset
School of Geography and the Environment, University
of Oxford, OX1 3QY Oxford, UK
Max Planck Institute for Meteorology, Hamburg,
Germany
Simon Dadson
School of Geography and the Environment, University
of Oxford, OX1 3QY Oxford, UK
Feyera Hirpa
School of Geography and the Environment, University
of Oxford, OX1 3QY Oxford, UK
Ellen Dyer
School of Geography and the Environment, University
of Oxford, OX1 3QY Oxford, UK
Thomas Lees
School of Geography and the Environment, University
of Oxford, OX1 3QY Oxford, UK
Diego G. Miralles
Hydro-Climatic Extremes Lab (H-CEL), Ghent University,
Ghent, Belgium
Sergio M. Vicente-Serrano
Instituto Pirenaico de Ecología, Consejo
Superior de Investigaciones Científicas (IPE-CSIC)
Zaragoza, Spain
Chris Funk
U.S. Geological Survey, Earth Resources Observation
and Science Center, Sioux Falls, South Dakota, USA
Santa Barbara Climate Hazards Center, University of
California, Santa Barbara, USA
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Latest update: 11 Dec 2024
Short summary
Africa has been severely influenced by intense drought events, which has led to crop failure, food shortages, famine, epidemics and even mass migration. The current study developed a high spatial resolution drought dataset entirely from satellite-based products. The dataset has been comprehensively inter-compared with other drought indicators and may contribute to an improved characterization of drought risk and vulnerability and minimize drought's impact on water and food security in Africa.
Africa has been severely influenced by intense drought events, which has led to crop failure,...
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