2026-10-12T03:21:43Z https://www.scidb.cn/oai

10.57760/sciencedb.ecodb.00102 2025-10-20T10:56:44Z

2025-10-20 A Comprehensive Long-term (1981–2020) Radiation Dataset for China: Ensuring Consistency, Comparability, and Incorporating Uncertainty doi:10.57760/sciencedb.ecodb.00102 en The dataset provides comprehensive radiation data and associated uncertainties on both monthly and yearly scales for global radiation, diffuse radiation, photosynthetically active radiation (PAR), and diffuse PAR across China from 1981 to 2020, based on observations from the China Meteorological Administration (CMA) and the Chinese Ecosystem Research Network (CERN).In a previous study, our research group established a radiation dataset for China spanning 1981 to 2010 (Ren et al., 2018). Building on this foundation, the present study integrated all available radiation observations spanning 1981–2020 to re-optimize the empirical model parameters and thereby reconstruct a new, continuous 40-year radiation dataset. Subsequently, an advanced machine learning approach—Gaussian Process Regression (GPR)—was applied to produce a spatially continuous, high-accuracy radiation dataset for 1981–2020, encompassing global radiation, PAR, and their diffuse components, along with corresponding uncertainty estimates.This dataset is valuable for analyzing the spatio-temporal variations of solar radiation in China, investigating the impact of radiation on terrestrial ecosystems, and conducting ecosystem modeling and uncertainty analysis. global radiation; photosynthetically active radiation (PAR); diffuse radiation; diffuse PAR; data uncertainty; China Chang Liu Xiaoli Ren Honglin He Li Zhang Chao Gao Zheng Qian Xueting Wang Chenxi Li Shiyu Dong Zining Lin Han Wu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank