Remote Sensing in Meteorology

Dear Colleagues,

Satellite images provide a wide view of meteorological conditions in a sub-day frequency. With the development of meteorological satellites, a large amount of satellite measurements have been inversed into physical information on clouds, temperature, precipitation, wind field, snow and ice cover, and so on. Retrieval algorithms based on physical mechanism, empirical relationships, and machine learning have all contributed to the developments and applications of meteorological products. Meanwhile, validation work with high-quality ground-based filed observations is necessary for meteorological research and improvement to these algorithms and products.

This Special Issue focuses on the development of retrieval algorithms for meteorological information, validation of meteorological products, and application of satellite measurements on meteorology.

Dr. Yahui Che
Dr. Lu She
Guest Editors

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