Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
now at: 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
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Institute of Geography and Oeschger Center for Climate Change Research, University of Bern, Bern 3012, Switzerland
Rui Ma
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Yichuan Ma
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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Cumulative views and downloads
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Total article views: 2,352 (including HTML, PDF, and XML)
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1,741
538
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2,352
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BibTeX: 95
EndNote: 127
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Total article views: 1,038 (including HTML, PDF, and XML)
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685
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1,038
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Viewed (geographical distribution)
Total article views: 3,390 (including HTML, PDF, and XML)
Thereof 3,288 with geography defined
and 102 with unknown origin.
Total article views: 2,352 (including HTML, PDF, and XML)
Thereof 2,268 with geography defined
and 84 with unknown origin.
Total article views: 1,038 (including HTML, PDF, and XML)
Thereof 1,020 with geography defined
and 18 with unknown origin.
We proposed a data fusion strategy that combines the complementary features of multiple-satellite cloud fraction (CF) datasets and generated a continuous monthly 1° daytime cloud fraction product covering the entire Arctic during the sunlit months in 2000–2020. This study has positive significance for reducing the uncertainties for the assessment of surface radiation fluxes and improving the accuracy of research related to climate change and energy budgets, both regionally and globally.
We proposed a data fusion strategy that combines the complementary features of...