Development and application of high resolution SPEI drought dataset for Central Asia

Karim Pyarali; Jian Peng; Markus Disse; Ye Tuo

doi:10.1038/s41597-022-01279-5

Scientific Data (Apr 2022)

Development and application of high resolution SPEI drought dataset for Central Asia

Karim Pyarali,
Jian Peng,
Markus Disse,
Ye Tuo

Affiliations

Karim Pyarali: Chair of Hydrology and River Basin Management, Technical University of Munich
Jian Peng: Department of Remote Sensing, Helmholtz Centre for Environmental Research−UFZ
Markus Disse: Chair of Hydrology and River Basin Management, Technical University of Munich
Ye Tuo: Chair of Hydrology and River Basin Management, Technical University of Munich

DOI: https://doi.org/10.1038/s41597-022-01279-5
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 14

Abstract

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Measurement(s) Drought index Technology Type(s) Remote sensing products Factor Type(s) Standardized Precipitation Evapotranspiration Index Sample Characteristic - Environment drought Sample Characteristic - Location Central Asia

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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