Recent trends in convective and stratiform rain rate under tropical cyclones and non-tropical cyclones conditions using satellite remote sensing data

Yuxia Fu; Qiaoyan Wu

doi:10.1117/12.3029631

21 June 2024 Recent trends in convective and stratiform rain rate under tropical cyclones and non-tropical cyclones conditions using satellite remote sensing data

Yuxia Fu, Qiaoyan Wu

Author Affiliations +

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316702 (2024) https://doi.org/10.1117/12.3029631
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

Precipitation changes associated with tropical cyclones (TCs) have received increased attention, revealing distinct trends in convective and stratiform rain rates within TCs in recent decades based on satellite observational data. However, given the limited contribution of TCs to total precipitation, a notable knowledge gap remains regarding the evolution of convective and stratiform rain rates in non-TC conditions over the same period. Employing 22 years of precipitation data from the Tropical Rainfall Measurement Mission (TRMM), we investigated the temporal variations of stratiform and convective rain rates in non-TC environments during TC seasons from 1998 to 2019. Our findings reveal that the observed intensification of stratiform rain rates and weakening of convective rain rates in TCs are mirrored in non-TC rainfall over all ocean basins. These insights indicate the value of precipitation products from satellite remote sensing technology and contribute to an enhanced understanding of the hydrological cycle.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuxia Fu and Qiaoyan Wu "Recent trends in convective and stratiform rain rate under tropical cyclones and non-tropical cyclones conditions using satellite remote sensing data", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316702 (21 June 2024); https://doi.org/10.1117/12.3029631

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