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

Abstract. Monitoring global radiation resources relies on sunshine duration (SD) as an important indicator; however, research examining high-resolution SD data is scarce. 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 a time series. We used ground-measured SD at 2380 Chinese Meteorological Administration stations to verify the SD dataset accuracy. The results of the testing set indicate that the average correlation coefficient between the SD from the estimation and ground measurements was 0.88. Additionally, we investigated the effects of wind speed, vapour pressure, precipitation, aerosol optical depth, and cloud capacity on the estimation performance of SD and found that temperature had the greatest effect. We also found that cloud capacity that was both too low and too high, and wind speed that was too high affected SD estimation on an average annual scale. These high-resolution SD data provide important support for accurate radiation resource assessments in China. The SD dataset is freely accessible at https://doi.org/10.57760/sciencedb.10276 (Zhang et al., 2024).

Authors

Institutions

Publication Details

Journal
Earth system science data
Published
2025-04-09
DOI
https://doi.org/10.5194/essd-17-1427-2025
Citations
7
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
17.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zhanhao Zhang, Shibo Fang, Jiahao Han
7 citations
Earth system science data
Solar Radiation and Photovoltaics
17.37
article

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

Zhanhao Zhang, Shibo Fang, Jiahao Han
article en
7 citations

Abstract

Abstract. Monitoring global radiation resources relies on sunshine duration (SD) as an important indicator; however, research examining high-resolution SD data is scarce. 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 a time series. We used ground-measured SD at 2380 Chinese Meteorological Administration stations to verify the SD dataset accuracy. The results of the testing set indicate that the average correlation coefficient between the SD from the estimation and ground measurements was 0.88. Additionally, we investigated the effects of wind speed, vapour pressure, precipitation, aerosol optical depth, and cloud capacity on the estimation performance of SD and found that temperature had the greatest effect. We also found that cloud capacity that was both too low and too high, and wind speed that was too high affected SD estimation on an average annual scale. These high-resolution SD data provide important support for accurate radiation resource assessments in China. The SD dataset is freely accessible at https://doi.org/10.57760/sciencedb.10276 (Zhang et al., 2024).

Earth system science dataVol. 17(4)
Chinese Academy of Meteorological Sciences (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 1%
Solar Radiation and Photovoltaics
17.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.