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Data · dataset · 2026

Dai Global Palmer Drought Severity Index (PDSI)

Listed in National Center for Atmospheric Research

This dataset consists of monthly Palmer Drought Severity Index (PDSI) over global land areas on a 2.5 degree grid computed using observed monthly surface air temperature and precipitation, plus other surface meteorological forcing data for the self calibrating PDSI Penman Monteith (sc_PDSI_pm) case.

Description

Additionally, ensemble mean monthly sc_PDSI_pm data on a 2.5 degree grid has been calculated from 1900-2099 (for CMIP5) and 1900-2100 (for CMIP6) based on one historical and future (under RCP4.5 for CMIP5), and SSP2-4.5 (similar to RCP4.5) and SSP5-8.5 (similar to RCP8.5 for CMIP5) simulation by each of the 14 CMIP5 models and 25 CMIP6 models.

These sc_PDSI_pm data from individual runs were simply averaged to produce the multiple model ensemble mean. The PDSI can be used as a measure of surface aridity anomalies and changes on seasonal to longer time scales. It is correlated with observed soil moisture and water storage variations over land.

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National Center for Atmospheric Researcha8c08cfc-9ee4-406c-8c75-e35e70af93e913 d agoJSON v1
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concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[method].local:method:simulationenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0