中国1km逐年干燥度数据集（1901-2024）

数据集为中国逐年干燥度指数，空间分辨率为0.0083333°（约1km），时间为1901-2024，为比值，没有单位。该数据集是基于中国1km逐月潜在蒸散发（PET）和降水量（PRE）（本站已发布），采用比值法计算式得到（年AI =年PET/年PRE）。 数据均为single型存于nc（NETCDF）文件中。nc数据可用ArcMAP软件打开制图，并可用Matlab、R软件提取处理。数据坐标系统建议使用WGS84。AI是表征一个地区干湿程度的指标，一般来说，根据AI分类可以概括地把区域分为湿润（AI<1，相当于森林）、半湿润（AI在1-1.5，相当于森林草原）、半干旱（AI在1.5-4，相当于干草原）和干旱地区（AI≥4，相当于荒漠）。

This dataset is the annual aridity index over China, with a spatial resolution of 0.0083333° (approximately 1 km), covering the period from 1901 to 2024. It is a dimensionless ratio. This dataset is derived using the ratio method based on the 1 km monthly potential evapotranspiration (PET) and precipitation (PRE) over China (both datasets have been released on this platform), with the calculation formula: annual AI = annual PET / annual PRE. The data are stored in NETCDF (nc) files in single-precision floating-point format. The nc-format data can be opened and used for mapping with ArcMAP, and extracted and processed with Matlab and R software. The WGS84 coordinate system is recommended for this dataset. AI is an indicator characterizing the dry-wet conditions of a region. Generally, regions can be broadly categorized based on AI values: humid regions (AI < 1, corresponding to forests), sub-humid regions (1 ≤ AI < 1.5, corresponding to forest-steppes), semi-arid regions (1.5 ≤ AI < 4, corresponding to dry steppes), and arid regions (AI ≥ 4, corresponding to deserts).

搜集汇总

背景与挑战

背景概述

该数据集提供中国1901-2024年逐年1km分辨率的干燥度指数，通过潜在蒸散发与降水量的比值计算得到，可用于分析中国各地区干湿程度变化及区域分类。数据以NETCDF格式存储，支持多种地理信息软件处理分析。