Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations
Jinyi Xiaand Li Guan
Jinyi Xia
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Nanjing University of Information Science and Technology, Nanjing 210044, China
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Total article views: 1,666 (including HTML, PDF, and XML)
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1,194
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Supplement: 98
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1,869
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Total article views: 4,352 (including HTML, PDF, and XML)
Thereof 4,328 with geography defined
and 24 with unknown origin.
Total article views: 1,666 (including HTML, PDF, and XML)
Thereof 1,661 with geography defined
and 5 with unknown origin.
Total article views: 2,686 (including HTML, PDF, and XML)
Thereof 2,667 with geography defined
and 19 with unknown origin.
This study presents a method for estimating cloud cover from FY-4A AGRI observations using random forest (RF) and multilayer perceptron (MLP) algorithms. The results demonstrate excellent performance in distinguishing clear-sky scenes and reducing errors in cloud cover estimation. It shows significant improvements compared to existing methods.
This study presents a method for estimating cloud cover from FY-4A AGRI observations using...
