@Article{CavalcantiNuMaGoSiCa:2017:PrPrCh,
author = "Cavalcanti, Iracema Fonseca de Albuquerque and Nunes,
Luc{\'{\i}} H. and Marengo, Jos{\'e} Ant{\^o}nio and Gomes,
Jorge Lu{\'{\i}}s and Silveira, Virginia Piccinini and
Castellano, Marina S.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Estadual de Campinas (UNICAMP)} and {Centro Nacional
de Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual
de Campinas (UNICAMP)}",
title = "Projections of precipitation changes in two vulnerable regions of
S{\~a}o Paulo State, Brazil",
journal = "American Journal of Climate Change",
year = "2017",
volume = "6",
number = "2",
pages = "268--293",
keywords = "Climate Change, Precipitation Extremes, Vulnerable Regions,
Precipitation Indices, Regional Model.",
abstract = "Weather and climate extremes are part of the natural variability.
However, the frequency and intensity of precipitation extremes
have increased in the globe following the global warming. Extreme
precipitation impacts such as landslides and flooding with
implications to vulnerability and adaptation are discussed for two
regions of the state of S{\~a}o Paulo: the Metropolitan Region of
Campinas and the Metropolitan Region of the Baixada Santista,
located in southeastern South America. Simulations and projections
obtained from four integrations of the Regional Eta model are
analyzed to investigate the model behavior during the period of
1961-1990 and the projections within the period of 2011-2100.
Uncertainties are discussed based on the standard deviation among
the model spread. The projections show precipitation increase in
the Metropolitan Region of Campinas during DJF for the near and
distant future, while there are more uncertainties in the other
seasons. In the Metropolitan Region of Baixada Santista, the
precipitation increase is projected to all seasons, except JJA,
when there is higher uncertainty. Daily rainfall indices suggest
an increase of precipitation during the rainy days, but a
reduction in the number of rainy days in both locations. The
projections show a reduction of light rains and an increase of
heavy rains at both regions. The model identifies the South
Atlantic Convergence Zone and frontal systems as precipitation
patterns associated with extremes in the two locations. The
results can be useful for adaptation actions, since the regions
are highly populated and have high vulnerabilities.",
doi = "10.4236/ajcc.2017.62014",
url = "http://dx.doi.org/10.4236/ajcc.2017.62014",
issn = "2167-9495 and 2167-9509",
language = "en",
targetfile = "cavalcanti_projections.pdf",
urlaccessdate = "19 abr. 2024"
}