Conference PaperPDF Available

GPM precipitation data as input for a real time extreme rainfall detection system

Authors:

Abstract

The GPM (Global Precipitation Measurement) mission provides - since March 2014 - different IMERG (Integrated Multi-satellite Retrievals for GPM) products with a spatial coverage of 60°N - 60°S. IMERG products are available in three different versions: early run (with a delay of 6 hours), late run (with a delay of 18 hours) and final run (with a delay of 4 months). Considering the short delay in their availability, IMERG early and late half-hourly data can be used for real-time flood risk monitoring applications. In this study, IMERG early and late data are compared at the global scale with rain gauge precipitation data in order to evaluate their relative accuracy. The results demonstrate that a 24-hours aggregation interval ensures a probability of detection (evaluable as the number of hits events divided by the total number of observed events) greater than 80% and a bias of -0,1 mm/h. With an aggregation interval of 72 hours we reach a probability of detection greater than 90%. The outcomes of this analysis will support the development of the updated version of the ITHACA Extreme Rainfall Detection System (ERDS). This system is able to provide hourly real-time alerts about extreme rainfall events.
Geophysical Research Abstracts
Vol. 20, EGU2018-872-1, 2018
EGU General Assembly 2018
© Author(s) 2018. CC Attribution 4.0 license.
GPM precipitation data as input for a real time extreme rainfall detection
system
Paola Mazzoglio (1), Francesco Laio (2), Franca Disabato (3), and Irene Angeluccetti (3)
(1) ITHACA, Torino, Italy (paola.mazzoglio@ithaca.polito.it), (2) Politecnico di Torino, Torino, Italy, (3) ITHACA, Torino,
Italy
The GPM (Global Precipitation Measurement) mission provides - since March 2014 - different IMERG (Integrated
Multi-satellite Retrievals for GPM) products with a spatial coverage of 60N – 60S.
IMERG products are available in three different versions: early run (with a delay of 6 hours), late run (with a delay
of 18 hours) and final run (with a delay of 4 months).
Considering the short delay in their availability, IMERG early and late half-hourly data can be used for real-time
flood risk monitoring applications. In this study, IMERG early and late data are compared at the global scale with
rain gauge precipitation data in order to evaluate their relative accuracy.
The results demonstrate that a 24-hours aggregation interval ensures a probability of detection (evaluable as the
number of hits events divided by the total number of observed events) greater than 80% and a bias of -0,1 mm/h.
With an aggregation interval of 72 hours we reach a probability of detection greater than 90%.
The outcomes of this analysis will support the development of the updated version of the ITHACA Extreme
Rainfall Detection System (ERDS). This system is able to provide hourly real-time alerts about extreme rainfall
events.
ResearchGate has not been able to resolve any citations for this publication.
ResearchGate has not been able to resolve any references for this publication.