Non-stationary NG-IDF Dataset from ICAR-DHSVM for Yakima River Basin (WA): MPI-M.MPI-ESM1-2-LR

This dataset contains the NG-IDF (Next-Generation Intensity-Duration-Frequency) data generated using ICAR-DHSVM simulations for all grid cells over the Yakima River Basin in Washington State (file: MPI-M.MPI-ESM1-2-LR_gridcell.zip). It also includes aggregated data for the Yakima Training Center (YTC) area (file: MPI-M.MPI-ESM1-2-LR_YTC.zip). The ICAR model was used to downscale data from five CMIP6 GCMs for historical periods and three future scenarios (SSP2-4.5, SSP3-7.0, and SSP5-8.5). Due to data limitations, the datasets for the five GCMs are hosted under different DOIs. This site specifically provides data for the MPI-M.MPI-ESM1-2-LR GCM. The datasets for other GCMs can be accessed at the following locations: CanESM5: 10.5281/zenodo.14553541 CMCC-CM2-SR5: 10.5281/zenodo.14553836 MIROC-ES2L: 10.5281/zenodo.14553866 NorESM2-MM: 10.5281/zenodo.14556351 Each GCM dataset includes historical data and projections for the three future scenarios. For each scenario, data are provided for nine land-use/land-cover (LULC) types consistent with the NLCD classification: Crop, Deciduous Forest, Evergreen Forest, Grass, Mixed Forest, Open, Pasture, Shrub, and Wetland. Within each folder, the following are included: 3-hour time series data Annual maximum W data NG-IDF curves本数据集包含基于ICAR-DHSVM模拟生成的下一代强度-持续时间-频率（NG-IDF, Next-Generation Intensity-Duration-Frequency）数据，覆盖华盛顿州亚基马河流域的全部网格单元（对应数据文件：MPI-M.MPI-ESM1-2-LR_gridcell.zip），同时还包含亚基马训练中心（Yakima Training Center, YTC）区域的聚合数据（对应数据文件：MPI-M.MPI-ESM1-2-LR_YTC.zip）。 研究团队采用ICAR模型，针对历史时段与三种未来情景（SSP2-4.5、SSP3-7.0及SSP5-8.5），对5个第六次耦合模式比较计划（CMIP6, Coupled Model Intercomparison Project Phase 6）全球气候模式（GCM, Global Climate Model）的输出数据开展降尺度处理。受数据托管规则限制，5个GCM的数据集分别托管于不同的数字对象标识符（DOI, Digital Object Identifier）下。本站点仅提供MPI-M.MPI-ESM1-2-LR这一GCM的数据集，其余GCM的数据集可通过以下链接获取： CanESM5: 10.5281/zenodo.14553541 CMCC-CM2-SR5: 10.5281/zenodo.14553836 MIROC-ES2L: 10.5281/zenodo.14553866 NorESM2-MM: 10.5281/zenodo.14556351 每个GCM数据集均包含历史时段数据与三种未来情景的气候预估数据。针对每种情景，数据集提供了符合美国国家土地覆盖数据库（NLCD, National Land Cover Database）分类标准的9种土地利用/土地覆盖（LULC, Land-Use/Land-Cover）类型数据，具体包括：耕地、落叶林、常绿林、草地、混交林、开阔地、牧场、灌丛及湿地。 在每个数据文件夹内，包含以下内容： 3小时时间序列数据 年最大W数据 下一代强度-持续时间-频率（NG-IDF）曲线