@ElectronicSource{FranchitoRaoBarbSant:2007:RaSeDu,
abstract = "The Southeast Region of Brazil is densely populated with high
agricultural productivity, industrial activity and hydroelectric
generation. Large precipitation deficits observed during the 2001
austral summer over this region contributed to the worsening of
the energy crisis that was occurring in the country, with
unprecedented social and economic consequences. Reliable
information on the beginning of rainy season was essential for the
Brazilian government to manage the energy crisis. The purpose of
this study is to determine the rainy season in this region and to
warn the risk of using OLR data to estimate the beginning of it.
Pentad (5-day averaged) rainfall and OLR data showed that when OLR
data is used, the beginning and the end dates of the rainy season
are wrongly anticipated and delayed, respectively. This suggests
that one should be careful in using OLR data to obtain information
about the beginning and end of the rainy season. The present study
aims to provide useful information for the management of the
impact of adverse climate conditions such as the one in 2001,
analysed with rainfall instead of OLR.",
address = "S{\~a}o Jos{\'e} dos Campos",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and Funda{\c{c}}{\~a}o
Cearense de Meteorologia, FUNCEME and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
author = "Franchito, Sergio Henrique and Rao, Vadlamudi Brahmananda and
Barbieri, Paulo R. B. and Santo, Clovis Monteiro do Espirito",
keywords = "preciptation, estudos do tempo.",
language = "en",
publisher = "Instituto and Nacional and de and Pesquisas and Espaciais",
ibi = "sid.inpe.br/mtc-m17@80/2007/09.05.18.35",
url = "http://urlib.net/ibi/sid.inpe.br/mtc-m17@80/2007/09.05.18.35",
targetfile = "v1.pdf",
title = "Rainy season duration estimated from OLR versus raingauge data and
the 2001 drought in Southeast Brazil",
typeofmedium = "On-line",
year = "2007",
urlaccessdate = "15 jun. 2024"
}