five

MPCID: A new high-resolution multi-precipitation concentration indicators dataset for mainland China

收藏
DataCite Commons2025-06-01 更新2026-04-25 收录
下载链接:
https://figshare.com/articles/dataset/Station-measured_precipitation_concentration_index_dataset_1961-2020_/28656086/4
下载链接
链接失效反馈
官方服务:
资源简介:
High - resolution Multi - precipitation Concentration Indicators Dataset for Mainland ChinaDataset Overview<br>This dataset provides high - resolution multi - precipitation concentration indicators for mainland China, covering both historical data from 1961 - 2022 and future projections from 2015 - 2100. The precipitation concentration indicators include Precipitation Concentration Degree (PCD), Precipitation Concentration Period (PCP), Daily Precipitation Concentration Index (DPCI), and Monthly Precipitation Concentration Index (MPCI).Historical Data<br>The historical data is sourced from two main components:<br>Station Observations: Annual data for each of the four indicators from 1961-2020 at various stations across mainland China, stored in CSV format.<br>Grid Observations: Gridded data with a resolution of 0.25° based on the CN05.1 dataset from 1961-2022, stored in NetCDF format.Future Projections<br>The future projections are based on four Shared Socioeconomic Pathways (SSPs): SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.Data Format<br>CSV files: The station - based annual data in CSV format can be easily opened and analyzed using spreadsheet software like Microsoft Excel or programming languages such as Python with libraries like Pandas.<br>NetCDF files: The gridded data in NetCDF format can be processed using libraries like netCDF4 in Python or nco (NetCDF Operators) in the command - line environment.
提供机构:
figshare
创建时间:
2025-04-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作