Open AccessAn Identification Method of Melting Layer Using the Covariance Wavelet Transform Based on GPM‐DPR Observations
Author(s) -
Qiao Junqi,
Ai Weihua,
Hu Xiong,
Liu Maohong,
Hu Shensen
Publication year - 2022
Publication title -
earth and space science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 23
ISSN - 2333-5084
DOI - 10.1029/2021ea002103
Subject(s) - precipitation , radar , environmental science , quantitative precipitation forecast , remote sensing , covariance , wavelet , reliability (semiconductor) , global precipitation measurement , meteorology , computer science , algorithm , mathematics , geology , artificial intelligence , statistics , telecommunications , geography , physics , power (physics) , quantum mechanics
A knowledge of melting layer (ML) is crucial for studying precipitation and hydrometeor. Based on the measurements of dual‐frequency ratio (DFR m ) from the dual‐frequency precipitation radar on board the Global Precipitation Measurement satellite, we use the covariance wavelet transform (CWT) method to identify the ML top height (MLTH) through the DFR m profiles. Due to the influence of disturbance, the directly retrieved MLTH could be estimated mistakenly. To improve the reliability of the retrieved MLTH, a quality‐control algorithm based on the CWT method is developed. By comparing the MLTH with the corresponding 0°C isothermal heights, the retrieved MLTH are more reliable than the dual‐frequency precipitation radar (DPR) product, showing great potential in deploying the Global Precipitation Measurement DPR and the CWT method in the identification of the MLTH.