Marine Boundary Layer Heights in the Tropical and Subtropical Oceans Derived from COSMIC-2 Radio Occultation Data

作     者：Xiaohua XU Yadi LI Jia LUO Xiaohua XU;Yadi LI;Jia LUO

作者机构：School of Geodesy and GeomaticsWuhan University129 Luoyu RoadWuhan 430079China Collaborative Innovation Center for Geospatial Technology129 Luoyu RoadWuhan 430079China Key Laboratory of Geospace Environment and GeodesyMinistry of Education129 Luoyu RoadWuhan 430079China 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2023年第40卷第6期

页      面：1058-1072页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 42174017  42074027  41774033  and 41774032) 

主　　题：MBLH COSMIC-2 GNSS RO WCT algorithm 

摘      要：Using the global navigation satellite system(GNSS) and radio occultation(RO) refractivity data from the Constellation Observing System for Meteorology Ionosphere and Climate-2(COSMIC-2) mission from January 2020 to December 2021, the spatial and temporal variability of Marine Boundary Layer Heights(MBLHs) over the tropical and subtropical oceans are investigated. The MBLH detection method is based on the wavelet covariance transform(WCT)algorithm, while the distinctness(DT) parameter, which reflects the significance of the maximum WCT function values, is introduced. For the refractivity profiles with indistinct maximum WCT function values, the available surrounding ROderived MBLHs are used as auxiliary information, which helps to improve the objectiveness of the inversion process. The RO-derived MBLHs are validated with the MBLHs derived from the collocated high-vertical-resolution radiosonde observations, and the seasonal distributions of the RO-derived MBLHs are presented. Further comparisons of the magnitudes and the distributions of the RO-derived MBLHs with those derived from two model datasets, the European Centre for Medium-Range Weather Forecasts(ECMWF) analyses and the National Centers for Environmental Prediction(NCEP) Aviation(AVN) 12-hour forecast data, reveal that although high correlations exist between the RO-derived and the model-derived MBLHs, the model-derived ones are generally lower than the RO-derived ones in most parts of the tropics and sub-tropic ocean areas during different seasons, which should be partially attributed to the limited vertical resolutions of the model datasets. The correlation analyses between the MBLHs and near-surface wind speeds demonstrate that over the Pacific Ocean, near-surface wind speed is an important factor that influences the variations of the MBLHs.