<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Xiong J</submitter><funding>Ministry of Science and Technology of the People&amp;apos;s Republic of China (Chinese Ministry of Science and Technology)</funding><pagination>1439</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12357914</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(1)</volume><pubmed_abstract>Drought, characterized by below-average water supply, profoundly affects regional water resources and various ecosystem services. The Palmer Drought Severity Index (PDSI) is a widely used metric for drought monitoring and climate change assessments but suffers from inherent climatic inconsistencies and lacks comprehensive and reliable estimates under changing climate conditions. Here we develop a monthly multi-model and multi-scenario dataset of self-calibrated PDSI for the period 1850-2094, derived from 11 climate model outputs within the Coupled Model Intercomparison Project 6 (PDSI_CMIP6). The traditional two-layer bucket model in PDSI is replaced with direct hydrological outputs from CMIP6 models, ensuring alignment with CMIP6 projections. The PDSI estimates are validated against soil </pubmed_abstract><journal>Scientific data</journal><pubmed_title>PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset.</pubmed_title><pmcid>PMC12357914</pmcid><funding_grant_id>2023YFC3206603</funding_grant_id><pubmed_authors>Xiong J</pubmed_authors><pubmed_authors>Yang Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset.</name><description>Drought, characterized by below-average water supply, profoundly affects regional water resources and various ecosystem services. The Palmer Drought Severity Index (PDSI) is a widely used metric for drought monitoring and climate change assessments but suffers from inherent climatic inconsistencies and lacks comprehensive and reliable estimates under changing climate conditions. Here we develop a monthly multi-model and multi-scenario dataset of self-calibrated PDSI for the period 1850-2094, derived from 11 climate model outputs within the Coupled Model Intercomparison Project 6 (PDSI_CMIP6). The traditional two-layer bucket model in PDSI is replaced with direct hydrological outputs from CMIP6 models, ensuring alignment with CMIP6 projections. The PDSI estimates are validated against soil </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-29T17:07:05.7Z</modification><creation>2026-04-08T05:26:35.785Z</creation></dates><accession>S-EPMC12357914</accession><cross_references><pubmed>40819096</pubmed><doi>10.1038/s41597-025-05790-3</doi></cross_references></HashMap>