Non-stationary NG-IDF Dataset from ICAR-DHSVM for Fort Drum Area, NY: MIROC-ES2L

This dataset contains the NG-IDF (Next-Generation Intensity-Duration-Frequency) data generated using ICAR-DHSVM simulations for all grid cells over the Fort Drum and St. Lawrence River Basin in New York State (file: MIROC-ES2L_gridcell-hist.zip). It also includes aggregated data for the Fort Drum area (file: MIROC-ES2L_Fort_Drum.zip).

The ICAR model was used to downscale data from the CMIP6 GCM (i.e., MIROC-ES2L) for historical periods and two future scenarios (SSP3-7.0, and SSP5-8.5).

The dataset includes historical data and projections for the two 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模拟生成的新一代强度-历时-频率（Next-Generation Intensity-Duration-Frequency，NG-IDF）数据，覆盖纽约州德卢姆堡地区及圣劳伦斯河盆地的全部网格单元（配套数据文件：MIROC-ES2L_gridcell-hist.zip）。同时还包含德卢姆堡地区的聚合统计数据（配套数据文件：MIROC-ES2L_Fort_Drum.zip）。

研究采用ICAR模型，对耦合模式比较计划第六阶段（Coupled Model Intercomparison Project Phase 6，CMIP6）全球气候模式（Global Climate Model，GCM，即MIROC-ES2L）的历史时段数据，以及两种未来情景（共享社会经济路径3-7.0（SSP3-7.0）与共享社会经济路径5-8.5（SSP5-8.5））的输出结果进行降尺度处理。

本数据集涵盖历史时段数据与上述两种未来情景的投影数据。针对每种情景，数据集均提供了符合美国国家土地覆被数据库（National Land Cover Database，NLCD）分类标准的9类土地利用/土地覆被（Land Use/Land Cover，LULC）类型，具体包括：耕地、落叶林、常绿林、草本植被、混交林、开阔地、牧草地、灌丛及湿地。

每个文件夹内包含以下内容：
3小时时间序列数据
年度最大W数据
新一代强度-历时-频率（NG-IDF）曲线