中国1km分辨率多情景多模式逐月降水量数据集（2021-2100）

数据集为中国多情景多模式逐月降水量数据，空间分辨率为0.0083333°(约1km)，时间为2021年1月-2100年12月。数据为NETCDF格式。数据是根据IPCC耦合模式比较计划第六阶段（CMIP6）发布的全球>100 km气候模式数据集以及WorldClim发布的全球高分辨率气候数据集，通过Delta空间降尺度方案在中国地区降尺度生成。数据采用IPCC最新发布的SSP情景(SSP119、SSP245、SSP585),每个情景包含三个GCMs（EC-Earth3、GFDL-ESM4、MRI-ESM2-0）的气候数据，数据集包含的地理空间范围是中国主要陆地，不含南海岛礁等区域。单位为0.1mm。文件命名是GCM_SSP_pre-30s-序号.nc，30s即0.0083333°，序号从1-40，序号1表示2021.1-2022.12，依次表示年份；以EC-Earth3_ssp119_pre-30s-1.nc文件为例，表示SSP119情景下EC-Earth3气候模式的1km分辨率2021.1-2022.12逐月降水数据。欲更深入的理解数据请参阅文献引用方式下的数据作者已发表的论文。

This dataset refers to monthly precipitation data over China under multiple scenarios and multiple models, with a spatial resolution of 0.0083333° (approximately 1 km), covering the period from January 2021 to December 2100, and stored in NETCDF format.

The dataset was generated via the Delta spatial downscaling method over mainland China, based on two sources: 1) global climate model datasets (with a spatial resolution greater than 100 km) released under the Coupled Model Intercomparison Project Phase 6 (CMIP6) of the Intergovernmental Panel on Climate Change (IPCC); 2) global high-resolution climate datasets released by WorldClim.

The dataset adopts the latest IPCC SSP scenarios, including SSP119, SSP245, and SSP585. Each scenario incorporates climate data from three General Circulation Models (GCMs): EC-Earth3, GFDL-ESM4, and MRI-ESM2-0. The geographical coverage of the dataset is mainland China, excluding areas such as the South China Sea islands and reefs. The unit of the precipitation data is 0.1 mm.

The file naming convention follows the format: GCM_SSP_pre-30s-[serial number].nc, where "30s" refers to the spatial resolution of 0.0083333°, and the serial number ranges from 1 to 40. Serial number 1 corresponds to the period from January 2021 to December 2022, and each subsequent serial number represents the next two-year period in sequence. Taking the file "EC-Earth3_ssp119_pre-30s-1.nc" as an example, it denotes 1 km resolution monthly precipitation data for the period January 2021 to December 2022 from the EC-Earth3 climate model under the SSP119 scenario.

For a more in-depth understanding of this dataset, please refer to the published papers of the data authors that are cited in the relevant literature.