Work

A daily sunshine duration (SD) dataset in China from Himawari AHI imagery (2016–2023)

Year: 2025

Type: article

Abstract: . Monitoring global radiation resources relies on sunshine duration (SD) as a significant indication, but there is a scarcity of research that have examined high-resolution SD data. This study established a daily 5-km SD dataset in China from 2016 to 2023 using Himawari's Advanced Himawari Imager (AHI) Level 3 shortwave radiation fitted with the Ångström-Prescott model based on time series. We used ground-measured SD at 2380 Chinese Meteorological Administration (CMA) stations to verify the accuracy of SD dataset. The results of the testing set indicated that the average correlation coefficient (R) between the SD from estimation and the ground-measurement is 0.88. We investigated the effects of wind speed, vapor pressure (VAP), precipitation and aerosol optical depth (AOD) on the estimated performance of SD, and the results showed that temperature had the greatest effect on SD estimation. We also found that both too low AOD and too high wind speed also affected the SD estimation. This high-resolution SD data can provide important support for accurate radiation resource assessment in China. The SD dataset is freely accessible at https://doi.org/10.57760/sciencedb.10276 (Zhang et al., 2024).

Source: Earth system science data

DOI: 10.5194/essd-17-1427-2025

Authors: Zhanhao Zhang, Shibo Fang, Jiahao Han

Institutions: Chinese Academy of Sciences, Chinese Academy of Meteorological Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Severe Weather

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: gold

Estimated APC paid: $1,509