Comparison of Tropical Cyclone Rainfall in Multi-Source Weighted-Ensemble Precipitation (MSWEP) and Tropical Rainfall Measuring Mission (TRMM) Datasets for Atlantic Basin

Authors: Guoqian Yan*, University of Florida, Corene Matyas, University of Florida
Topics: Climatology and Meteorology
Keywords: Tropical Cyclone, Rainfall, MSWEP, TRMM
Session Type: Paper
Day: 4/3/2019
Start / End Time: 12:40 PM / 2:20 PM
Room: Stones Throw 1 - Granite, Marriott, Lobby Level
Presentation File: No File Uploaded

Tropical cyclones (TCs) are one of the most devastating natural hazards to society due to numerous fatalities and enormous economic losses. In addition, they make huge damage to environments and ecosystems of coastal as well as inland areas. Among all hazards associated with TCs, precipitation related to TCs as well as induced flood can lead to significant economic losses and fatalities over broad regions adjacent to and away from the storm track. Precise representation of the spatiotemporal variability of precipitation is critical to TC rainfall research. One of the most commonly utilized datasets for the analysis of rain rates over both the ocean and land is the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B42. However, it has been noticed that this dataset has several disadvantages. The Multi-Source Weighted-Ensemble Precipitation (MSWEP) is a recently released dataset that optimally takes advantage of a wide range of gauges, satellites, and reanalysis data to supply reliable precipitation estimates with high temporal and spatial resolution globally. It has been utilized for hydrology, water resources management and rainfall climatology. However, no specific evaluation relevant to TC rainfall has been conducted yet. I examined the performance of Multi-Source Weighted-Ensemble Precipitation (MSWEP) in TC precipitation accumulation and its spatial patterns by comparing the area and spatial patterns within this dataset with those produced in the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B42 dataset as well as with rain gauge data, which are utilized as a ground truth.

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