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

High - resolution Multi - precipitation Concentration Indicators Dataset for Mainland China

• Dataset Overview
  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
  The historical data is sourced from two main components:
  Station Observations: Annual data for each of the four indicators from 1961-2020 at various stations across mainland China, stored in CSV format.
  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
  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
  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.
  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.