A new global 0.5° gridded dataset (1901-2006) of a multiscalar drought index: comparison with current drought index datasets based on the Palmer Drought Severity Index

A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI). The presented dataset is based on the standardized precipitation...

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Detalles Bibliográficos
Autores: Vicente Serrano, Sergio M., Beguería, Santiago, López-Moreno, Juan I., Angulo-Martínez, Marta, El Kenawy, Ahmed M.
Tipo de recurso: artículo
Fecha de publicación:2010
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/23906
Acceso en línea:http://hdl.handle.net/10261/23906
Access Level:acceso abierto
Palabra clave:Drought
Drought index
Standardized precipitation evapotranspiration index
SPEI
Palmer drought severity index
PDSI
Climate data
Global dataset
Standardized precipitation index
SPI
Descripción
Sumario:A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI). The presented dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained using the CRU TS3.0 dataset at a spatial resolution of 0.5°. The advantages of the new dataset are that; i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. The dataset is freely available on the web page of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text).