Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-2405-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-2405-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 Jun 2025
Data description paper |
| 06 Jun 2025
| 06 Jun 2025
Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction
Xinyan Liu
Aerospace Information Research Institute, Henan Academy of Sciences, Henan 450046, China
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Qingxin Wang
College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
Xiongxin Xiao
Institute of Geography and Oeschger Center for Climate Change Research, University of Bern, Bern 3012, Switzerland
Yichuan Ma
Department of Geography, The University of Hong Kong, Hong Kong SAR 999077, China
Yanyan Wang
Aerospace Information Research Institute, Henan Academy of Sciences, Henan 450046, China
Shanjun Luo
Aerospace Information Research Institute, Henan Academy of Sciences, Henan 450046, China
Lei Du
Aerospace Information Research Institute, Henan Academy of Sciences, Henan 450046, China
Zhaocong Wu
CORRESPONDING AUTHOR
Aerospace Information Research Institute, Henan Academy of Sciences, Henan 450046, China
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
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Short summary
This study addresses the challenge of how clouds affect the Earth's energy balance, which is vital for understanding climate change. We developed a new method to create long-term cloud radiative kernels to improve the accuracy of measurements of sunlight reaching the surface, which significantly reduces errors. Findings suggest that prior estimates of cloud cooling effects may have been overstated, emphasizing the need for better strategies to manage climate change impacts in the Arctic.
This study addresses the challenge of how clouds affect the Earth's energy balance, which is...
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