GHM_drought: A global dataset of multiple meteorological drought indices for 1961–2100 (Data product 4: Individual-model EDDI from 16 CMIP6 models)

作者：Jiachen Ji, Chiyuan Miao · 发表于：Zenodo (CERN European Organization for Nuclear Research) · 年份：2026 · DOI：10.5281/zenodo.21540518 · 研究领域：Environmental science、Meteorology、Computer science、Climatology、Data mining

This record is Data product 4 of GHM_drought and provides individual-model EDDI projections for 2025–2100 from 16 bias-corrected CMIP6 models under SSP1-2.6, SSP2-4.5, and SSP5-8.5. Data product 1 provides observation-based historical drought indices for 1961–2024, together with multi-model ensemble-mean projections and inter-model uncertainty ranges for 2025–2100, while Data products 2 and 3 provide the corresponding individual-model SPEI and SPI projections, respectively. Associated records: Data product 1, https://doi.org/10.5281/zenodo.18045718; Data product 2, https://doi.org/10.5281/zenodo.21491403; Data product 3, https://doi.org/10.5281/zenodo.21523380; Data product 4, https://doi.org/10.5281/zenodo.21540518. 1. Description Dataset name: GHM_drought Summary: The GHM_drought dataset is a new Global Meteorological Drought Dataset at 0.5° spatial resolution for the period 1961–2100, derived from the Climatic Research Unit (CRU) dataset and 16 bias-corrected Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This dataset calculates Standardized Precipitation Index (SPI), Evaporative Demand Drought Index (EDDI), and Standardized Precipitation Evapotranspiration Index (SPEI) based on a unified framework, ensuring consistency and comparability among the indices. Additionally, the dataset provides multiple accumulation timescales (1, 3, 6, 9, 12 months, and 1 year) and multiple scenarios, including historical (1961–2024) and future Shared Socioeconomic Pathway (SSP...