{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Xiong J"],"funding":["Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)"],"pagination":["1439"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12357914"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"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 "],"journal":["Scientific data"],"pubmed_title":["PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset."],"pmcid":["PMC12357914"],"funding_grant_id":["2023YFC3206603"],"pubmed_authors":["Xiong J","Yang Y"],"additional_accession":[]},"is_claimable":false,"name":"PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset.","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 ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Aug","modification":"2026-05-29T17:07:05.7Z","creation":"2026-04-08T05:26:35.785Z"},"accession":"S-EPMC12357914","cross_references":{"pubmed":["40819096"],"doi":["10.1038/s41597-025-05790-3"]}}