Articles | Volume 15, issue 21
https://doi.org/10.5194/amt-15-6489-2022
https://doi.org/10.5194/amt-15-6489-2022
Research article
 | 
11 Nov 2022
Research article |  | 11 Nov 2022

Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network

Wenyu Wang, Zhenzhan Wang, Qiurui He, and Lanjie Zhang

Data sets

MWHS L1 Data National Satellite Meteorological Center http://satellite.nsmc.org.cn/PortalSite/Data/Satellite.aspx?currentculture=en-US

Cloudsat and CALIPSO Ice Cloud Property Product CIRA (Cooperative Institute for Research in the Atmosphere) https://www.cloudsat. cira.colostate.edu/data-products/2c-ice

Aqua/MODIS L3 product LAADS DAAC https://ladsweb.modaps.eosdis.nasa.gov/search/order/1/MYD08_M3--61

ERA5 monthly averaged data on pressure levels from 1959 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.6860a573

Data for MWHS and 2C-ICE collocations Wenyu Wang https://doi.org/10.5281/zenodo.6620750

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Short summary
This paper uses a neural network approach to retrieve the ice water path from FY-3B/MWHS polarimetric measurements, focusing on its unique 150 GHz quasi-polarized channels. The Level 2 product of CloudSat is used as the reference value for the neural network. The results show that the polarization information is helpful for the retrieval in scenes with thicker cloud ice, and the 150 GHz channels give a significant improvement compared to using only 183 GHz channels.