Application study of Himawari-8/AHI infrared spectral data on precipitation signal recognition and retrieval
Received:June 13, 2019  Revised:April 01, 2020  download
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Author NameAffiliationE-mail
WANG Gen Anhui Meteorological Observatory, Key Lab of Strong weather analysis and forecast, Hefei 230031, China
Anhui Institute of Meteorological ,Anhui key lab of atmospheric science and satellite remote sensing, Hefei 230031, China 
203wanggen@163.com 
WANG Dong-Yong Anhui Meteorological Observatory, Key Lab of Strong weather analysis and forecast, Hefei 230031, China AMO_wangdongyong@163.com 
WU Rong Anhui Climate Center, Hefei 230031, China  
Abstract:In this paper, the application of an algorithm for precipitation retrieval is studied based on the statistical analysis of the changes of brightness temperature gradient in different infrared spectra of Advanced Himawari Imager(AHI) of H8 in the field of view of “precipitation” and “non-precipitation”. Taking Anhui region as an example, when precipitation occurs, there is some change in brightness temperature gradient of AHI channel 7-16. Furthermore, dictionary learning and regularization constraints are used on precipitation retrieval. Firstly, based on the H8/AHI spectral brightness temperature data and GPM precipitation, spectral “brightness temperature” and “precipitation” dictionary are matched as historical sample databases. Secondly, K-nearest neighbor (KNN) method is used to identify “precipitation” and “non-precipitation” signals on the brightness temperature of the infrared spectrum based on the “dictionary”. Finally, precipitation retrieval for infrared data is carried out in the precipitation signal “subspace” with regularization constraints. The preliminary experimental results show that precipitation structure based on brightness temperature for H8/AHI, which was retrieved by using the Bayesian model averaging-gamma probability distribution model, has a good similarity with GPM, as well as low relative error, and the critical success index is higher than others. Furthermore, the algorithm is extended and applied to the AHI brightness temperature retrieval of typhoon “Maria” precipitation, and the spiral rain belt can be obtained.
keywords:Himawari-8 (H8) /AHI  precipitation signal  K-nearest neighbor  Bayesian model averaging  regular term constraint
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Copyright:《Journal of Infrared And Millimeter Waves》