@Article{TorresMare:2013:UnAsCl,
author = "Torres, Roger Rodrigues and Marengo, Jos{\'e} Antonio",
affiliation = "Center for Weather Forecast and Climate Studies (CPTEC), National
Institute for Space Research (INPE), Rodovia Presidente Dutra km
40, 12630-000 Cachoeira Paulista, S{\~a}o Paulo, Brazil; Natural
Resources Institute (IRN), Federal University of Itajub{\'a}
(UNIFEI), Av. BPS, 1303, 37500-903 Itajub{\'a}, Minas Gerais,
Brazil and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Uncertainty assessments of climate change projections over South
America",
journal = "Theoretical and Applied Climatology",
year = "2013",
volume = "112",
number = "1-2",
pages = "253--272",
keywords = "assessment method, climate variation, general circulation model,
precipitation (climatology), seasonal variation, temperature
effect, twenty first century, uncertainty analysis, Amazon Basin,
Brazil, La Plata Basin.",
abstract = "This paper assesses the uncertainties involved in the projections
of seasonal temperature and precipitation changes over South
America in the twenty-first century. Climate simulations generated
by 24 general circulation models are weighted according to the
reliability ensemble averaging (REA) approach. The results show
that the REA mean temperature change is slightly smaller over
South America compared to the simple ensemble mean. Higher
reliability in the temperature projections is found over the La
Plata basin, and a larger uncertainty range is located in the
Amazon. A temperature increase exceeding 2 °C is found to have a
very likely (>90 %) probability of occurrence for the entire South
American continent in all seasons, and a more likely than not (>50
%) probability of exceeding 4 °C by the end of this century is
found over northwest South America, the Amazon Basin, and
Northeast Brazil. For precipitation, the projected changes have
the same magnitude as the uncertainty range and are comparable to
natural variability.",
doi = "10.1007/s00704-012-0718-7",
url = "http://dx.doi.org/10.1007/s00704-012-0718-7",
issn = "0177-798X",
label = "scopus",
language = "en",
targetfile = "10.1007_s00704-012-0718-7.pdf",
urlaccessdate = "27 abr. 2024"
}