GHCNdgp

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Authors: Qiang Li, Tongtiegang Zhao
Cited by: 0

Abstract

GHCNdgp is a daily gridded precipitation dataset for the period from 2020 to 2025 based on the station-based Global Historical Climatology Network (GHCN). Two daily datasets, i.e., the GHCN daily (GHCNd) and Global Surface Summary of the Day (GSOD), and three subdaily datasets, i.e., GHCN hourly (GHCNh), Integrated Surface Database (ISD) and Integrated Global Land surface Dataset (IGLD), are used to provide precipitation observations. Through multi-stage quality control checks including the reporting time match, observations of 58,796 stations are integrated to form the GHCNdgp dataset. To align with current AI weather forecasts, the precipitation observations are aggregated into gridded format with the spatial resolution of 0.25°×0.25°. The gridded precipitation is calculated by averaging the daily observations of all stations within each grid cell at the corresponding time. The dataset is provided in the Network Common Data Form (NetCDF) by years. The primary data variables include the daily precipitation (PRCP), its standard deviation (PRCP_std) and the number of stations per grid cell (Station_num). After decompression, it will occupy approximately 35GB of storage.

Fields of Study & Subjects

Precipitation Measurement and Analysis Soil Moisture and Remote Sensing Climate variability and models

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN
Document type
Dataset