The tropical rainfall measuring mission (TRMM) has revolutionized the measurement of precipitation worldwide. However, TRMM significantly underestimates rainfall in deep convection systems, being therefore of little help for the analysis of extreme precipitation depths. This work evaluates the ability of both TRMM and the recently launched global precipitation measurement (GPM) mission to help in the identification of the timing of severe rainfall events. We compare the date of occurrence of the most severe daily rainfall recorded each year by a global rain gauge network with the ones estimated by TRMM. The match rate between the two is found to approach 50%, indicating significant consistency between the two data sources. This figure rises to 60% for GPM, indicating the potential for this new mission to improve the accuracy associated with TRMM. Further efforts are needed in improving the GPM conversion algorithms in order to reduce the bias affecting the estimation of intense depths. The results however show that the timing estimated from GPM can provide a solid basis for an extensive characterization of the spatio-temporal distribution of extreme rainfall in poorly gauged regions of the world.
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino I-10129, Italy;School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia;School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia;Department of Earth and Ocean Sciences, University of South Carolina, Columbia, SC 29208, USA;Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino I-10129, Italy
Recommended Citation:
Andrea Libertino,Ashish Sharma,Venkat Lakshmi,et al. A global assessment of the timing of extreme rainfall from TRMM and GPM for improving hydrologic design[J]. Environmental Research Letters,2016-01-01,11(5)