A New High-Resolution Multi-Drought Indices Dataset for Mainland China; CHM_Drought

CHM_Drought，an innovative and comprehensive long-term meteorological drought dataset with a spatial resolution of 0.1° and data collected from 1961 to 2022 in mainland China. It features six pivotal meteorological drought indices: the standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI), evaporative demand drought index (EDDI), Palmer drought severity index (PDSI), self-calibrating Palmer drought severity index (SC-PDSI), and vapor pressure deficit (VPD), of which SPI, SPEI, and EDDI contain multi-scale features for periods of 2 weeks and 1–12 months.The dataset features a comprehensive application of high-density meteorological station data and a complete framework starting from basic meteorological elements (the China Hydro-Meteorology dataset, CHM).Global attributes:·<b> </b>Variable = SPEI-xx, SPI-xx, EDDI-xx, PDSI, SC-PDSI, VPD· Date format = NetCDF· Temporal Range = 1961-01-01 to 2022-12-31· Spatial Resolution = 0.1 degree· Spatial extent = 18°N–54°N, 72°E–136°E· Missing value = NA

CHM_Drought是一款创新性且覆盖全面的长期气象干旱数据集，空间分辨率为0.1°，数据时段涵盖1961年至2022年的中国大陆区域。该数据集包含六大核心气象干旱指数：标准化降水指数（Standardized Precipitation Index, SPI）、标准化降水蒸散指数（Standardized Precipitation Evapotranspiration Index, SPEI）、蒸发需求干旱指数（Evaporative Demand Drought Index, EDDI）、帕默尔干旱强度指数（Palmer Drought Severity Index, PDSI）、自校准帕默尔干旱强度指数（Self-calibrating Palmer Drought Severity Index, SC-PDSI）以及水汽压亏缺（Vapor Pressure Deficit, VPD），其中SPI、SPEI和EDDI具备2周及1~12个月的多时间尺度特征。该数据集全面整合高密度气象站点观测数据，完整分析框架基于基础气象要素搭建，数据来源为中国水文气象数据集（China Hydro-Meteorology dataset, CHM）。
全局属性：
· <b>变量</b>：SPEI-xx、SPI-xx、EDDI-xx、PDSI、SC-PDSI、VPD
· 数据格式：NetCDF
· 时间范围：1961-01-01 至 2022-12-31
· 空间分辨率：0.1°
· 空间范围：18°N~54°N，72°E~136°E
· 缺失值：NA

搜集汇总

背景与挑战

背景概述

CHM_Drought是一个高分辨率、多干旱指数的中国大陆气象干旱数据集，时间跨度为1961年至2022年，空间分辨率为0.1度，包含SPI、SPEI、EDDI、PDSI、SC-PDSI和VPD六种关键气象干旱指数。该数据集基于高密度气象站数据和CHM框架构建，适用于气候学和气象学研究。