@InProceedings{RocaPalFioOliVil:2019:AnExPr,
author = "Roca, Remy and Palharini, Rayana Santos Ara{\'u}jo and Fiolleau,
Thomas and Oliveira, R{\^o}mulo and Vila, Daniel Alejandro",
affiliation = "CNRS and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
CNRS and CNRS and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Analysis of extreme precipitation events over Brazil using
satellite database",
year = "2019",
organization = "EGU General Assembly",
abstract = "Extreme rainfall is one of the most severe weather hazards
affecting all the globe, especially the tropical region. Some
studies use statistical approaches for interpreting extreme events
by choosing a constant threshold based on different empirical
rainfall distributions. The main goal of this work is to fit
different Extreme value distributions (EVDs) like the Generalized
Extreme Value (GEV) and Generalized Pareto Distribution (GPD) for
extreme rainfall in different time scales to understand their
behaviour. The objectives of this study are: (i) analyse the
extreme precipitation distribution at 1 degree daily (1DD) using
rain gauges data and different well-known satellite-based
retrievals like TAPEER (Tropical Amount of Precipitation with an
Estimate of ERrors) over Brazil; (ii) characterize the Mesoscale
Convective Systems (MCS) life cycle properties like duration and
minimum temperature (among others) associated with extreme events
using TOOCAN (Tracking Of Organized Convection through a 3
dimensional segmentatioN) tool.",
conference-location = "Vienna, Austria",
conference-year = "07-12 apr.",
language = "en",
targetfile = "EGU2019-8962-1.pdf",
urlaccessdate = "27 abr. 2024"
}