A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset

被引:0
|
作者
Morin, Gabriel [1 ]
Boudreault, Mathieu [1 ]
Garcia-Franco, Jorge L. [2 ,3 ]
机构
[1] Univ Quebec Montreal, Dept Math, Montreal, PQ, Canada
[2] Columbia Univ, Lamont Doherty Earth Observ, New York, NY 10027 USA
[3] Univ Nacl Autonoma Mex, Escuela Nacl Ciencias Tierra, Mexico City, Mexico
基金
加拿大自然科学与工程研究理事会;
关键词
RAINFALL; MICROWAVE;
D O I
10.1038/s41597-024-03395-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A global tropical cyclone precipitation dataset covering the period from January 1979 to February 2023 is presented. Global precipitation estimates were taken from the newly developed high-resolution Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2) and TC tracks were obtained from the International Best Track Archive for Climate Stewardship (IBTrACS) dataset. This Global Multi-Source Tropical Cyclone Precipitation (MSTCP) dataset is comprised of two main products and files in the format of tables: the main and profile datasets. The main file provides various TCP statistics per TC track, including mean and maximum precipitation rates over a fixed and symmetrical radius of 500 km. The profile dataset comprises the azimuthally averaged precipitation every 10-km away from the center of each storm (until 500 km). The case study of Hurricane Harvey is used to show that MSWEP estimates agree well with another commonly used satellite product. The main statistics of the dataset are analyzed as well, including the differences in the dataset metrics for each of the six TC basins and for each Saffir-Simpson category for storm intensity.
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页数:10
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