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Striping noise mitigation in ATMS brightness temperatures and its impact on cloud LWP retrievals
Author(s) -
Ma Yuan,
Zou Xiaolei
Publication year - 2015
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/2015jd023162
Subject(s) - data striping , environmental science , noise (video) , brightness , remote sensing , visibility , meteorology , computer science , physics , optics , geography , artificial intelligence , image (mathematics) , operating system
Advanced Technology Microwave Sounder (ATMS) on board Suomi National Polar‐orbiting Partnership (NPP) satellite provides global distributions of microwave brightness temperature measurements at 22 temperature and humidity sounding channels twice daily. However, the differences between observations and brightness temperature simulations exhibit a systematic along‐track striping noise for all channels. In this study, a set of 22 “optimal” filters is designed to remove the striping noise in different channels. It is shown that the original method for ATMS striping noise mitigation developed by Qin et al. ([Qin, Z., 2013]) can be simplified and made suitable for use in an operational context. Impacts of striping noise mitigation on small‐scale weather features are investigated by comparing ATMS cloud liquid water path (LWP) retrieved before and after striping noise mitigation. It is shown that the optimal filters do not affect small‐scale cloud features while smoothing out striping noise in brightness temperatures. It is also shown that the striping noise is present in the LWP retrievals if the striping noise in brightness temperatures of ATMS channels 1 and 2 is not removed. The amplitude of the striping noise in LWP is linearly related to the magnitude of striping noise in ATMS brightness temperature observations.