Research on the fusion of FY4A satellite data and station observation data for heavy fog recognition

Satellite observation of fog possesses technical advantages of wide coverage and high spatial-temporal resolution. However, the accuracy of satellite-based fog identification is subject to errors induced by factors such as atmospheric and radiation conditions. This study aims to improve the accuracy...

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Bibliographic Details
Published in:	Theoretical and applied climatology Vol. 156; no. 1; p. 59
Main Authors:	Yao, Zhenhai, Wang, Chuanhui, Jiang, Chun
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.01.2025 Springer Nature B.V
Subjects:	Accuracy Algorithms Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences China Climatology Cloud cover Complementarity Earth and Environmental Science Earth Sciences Fog Identification Machine learning Monitoring methods Multidimensional methods Radiation Radiation-cloud interactions remote sensing Satellite data Satellite observation Satellites Spatial distribution Support vector machines Temporal resolution Waste Water Technology Water Management Water Pollution Control China Fog recognition FY4A Optimal algorithm Station-observation-based correction Anhui province
ISSN:	0177-798X, 1434-4483
Online Access:	Get full text
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