VICGlobal：可变入渗容量水文模型的土壤与植被参数

VICGlobal是一个可用于运行可变入渗容量（VIC）水文模型的数据集，适用于区域至大陆尺度模拟。该数据集空间分辨率为1/16°，纬度覆盖范围为-60°至85°。所有文件均基于WGS84椭球和基准面（EPSG代码4326）。 植被参数文件采用IGBP分类体系，并包含部分土地利用类型。植被参数中的根系深度与根系分布比例基于Zeng(2001)的方法。植被库文件整体与Livneh等（2013；2015）基本一致；但各土地覆盖类型的逐月平均LAI（叶面积指数）、冠层覆盖率和反照率是基于2017年MODIS观测数据，并采用Bohn和Vivoni(2019)的方法计算的。 为了体现LAI、冠层覆盖率和反照率的季节性差异，提供了两个植被库：一个适用于北半球，一个适用于南半球。 注意：虽然压缩后体积较小，但影像驱动的参数输入文件VICGlobal_params.nc解压后约140GB。建议用户使用已经按大陆拆分的影像模式参数文件，例如非洲区域的参数文件约为19GB。 相关数据说明文稿正在准备，拟投稿至NatureScientificData（https://www.nature.com/sdata/）。 其他VIC输入数据集（仅覆盖北美）： BohnandVivoniMOD-LSP数据集：https://zenodo.org/record/2559631。VICGlobal is a dataset designed for running the Variable Infiltration Capacity (VIC) hydrological model, suitable for regional-to-continental scale simulations. This dataset has a spatial resolution of 1/16° and covers latitudes ranging from -60° to 85°. All files are based on the WGS84 ellipsoid and datum (EPSG code 4326). The vegetation parameter files adopt the IGBP classification system and include partial land use types. The root depth and root distribution ratio in the vegetation parameters are based on the method proposed by Zeng (2001). The overall vegetation library files are largely consistent with those from Livneh et al. (2013; 2015); however, the monthly average Leaf Area Index (LAI), canopy coverage, and albedo for each land cover type are calculated based on 2017 MODIS observational data using the method from Bohn and Vivoni (2019). To reflect the seasonal variations of LAI, canopy coverage, and albedo, two vegetation libraries are provided: one for the Northern Hemisphere and the other for the Southern Hemisphere. Note: Although the compressed size is small, the image-driven parameter input file VICGlobal_params.nc is approximately 140 GB after decompression. Users are recommended to use the continent-split image-mode parameter files; for example, the parameter file for the African region is approximately 19 GB. A relevant data description manuscript is currently being prepared and is intended for submission to Nature Scientific Data (https://www.nature.com/sdata/). Other VIC input datasets (covering only North America): Bohn and Vivoni MOD-LSP dataset: https://zenodo.org/record/2559631.