黄土高原1km分辨率逐月最低温数据集（1921-1930年）

该数据为黄土高原地区逐月最低温数据，空间分辨率为0.0083333°（约1km），时间为1921.1-1930.12。数据格式为netcdf，即.nc格式。该数据集是根据CRU发布的全球0.5°气候数据集以及CNERN发布的中国区高分辨率气候数据集，通过Delta空间降尺度方案在黄土高原地区降尺度生成的。并且，使用黄土高原地区内部及外部113个气象观测点数据进行验证，验证结果可信。为了便于存储，数据均为int16型存于nc文件中，最低温单位为 0.1℃。nc格式数据可用高版本ArcMap（Multidimension Tools）读取生成栅格数据或MATLAB直接读写。该数据集包括1921-1930年逐月最低气温数据，一共有120个图层，如果用ArcMap打开，在Dimension选项value处选择所需月份打开。
如需要提取单点、多点、子区域数据，请联系数据生成者彭守璋，可提供matlab代码。Email:[e-mail]

This dataset contains monthly minimum temperature data for the Loess Plateau, with a spatial resolution of 0.0083333° (approximately 1 km), covering the period from January 1921 to December 1930. The data is stored in netCDF format (.nc).

This dataset was downscaled to the Loess Plateau using the Delta spatial downscaling method, based on the global 0.5° climate dataset released by CRU and the high-resolution climate dataset for China released by CNERN. It was further validated using data from 113 meteorological stations both within and outside the Loess Plateau, confirming the reliability of the dataset.

For efficient storage, all data is saved as 16-bit integers (int16) in the netCDF files, with the unit of minimum temperature being 0.1℃. netCDF format data can be read to generate raster data using recent versions of ArcMap via the Multidimension Tools, or directly read and written with MATLAB.

This dataset includes monthly minimum temperature data from 1921 to 1930, totaling 120 layers. When opening it with ArcMap, select the desired month in the "value" field of the Dimension option to load the corresponding layer.

If you need to extract data for single points, multiple points or sub-regions, please contact the dataset creator Peng Shouzhang. MATLAB code for extraction will be provided upon request. Email: [e-mail]