2026-10-10T10:51:33Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01679 2026-05-13T09:16:32Z

2026-05-13 A High-Resolution 0.01° Dekadal Precipitation Dataset for the Yellow River Delta from 2010 to 2024 doi:10.57760/sciencedb.j00001.01679 en To meet the needs of fine-scale precipitation characterization and temporal analysis in the Yellow River Delta, this dataset was developed by integrating dekadal precipitation observations from ground stations during 2010–2024 with Version 2.0 of the China Meteorological Forcing Dataset (CMFD). A methodological framework combining monthly-scale trend fitting with dekadal-scale residual interpolation using ordinary kriging was adopted to construct a dekadal precipitation dataset at a spatial resolution of 0.01°. The dataset covers the Yellow River Delta region and contains 540 dekadal time steps and 7,722 grid cells, with data provided in both NetCDF and TIFF formats. Key parameters of the ordinary kriging interpolation were calibrated using precipitation observations from dense rain gauge stations during the flood seasons of 2021–2023, and the dataset was independently validated using dense station data from the 2024 flood season together with records from national meteorological stations during 2010–2019. The results indicate that the dataset effectively captures the spatiotemporal variability of regional precipitation and can provide fundamental data support for hydrological modeling, eco-environmental assessment, agricultural management, and drought–flood monitoring and early warning. Yellow River Delta; dekadal precipitation; spatial interpolation; high-resolution dataset Wang Lulu Liang Hongru Chen Yong Liu Wei Liu Dehu Sang Guoqing Wang Qi Liu Yang shao guang wen PUBLIC https://creativecommons.org/licenses/by-nd/4.0 dataset Science Data Bank