@InProceedings{TorresMare:2011:UnPrTe,
author = "Torres, Roger. R and Marengo, Jos{\'e}. A",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Uncertainty and Probability of Temperature Change Over South
America by the end of the twenty-first century",
year = "2011",
organization = "Simp{\'o}sio Internacional de Climatologia: Mudan{\c{c}}as
Clim{\'a}ticas e seus impactos nas {\'a}reas urbanas, 4.",
publisher = "SBMET",
keywords = "Proje{\c{c}}{\~o}es Clim{\'a}ticas.",
abstract = "Este estudo analisa as incertezas e probabilidades envolvidas nas
proje{\c{c}}{\~o}es de mudan{\c{c}}as da temperatura do ar
{\`a} superf{\'{\i}}cie sobre a Am{\'e}rica do Sul para o
final do s{\'e}culo XXI. Simula{\c{c}}{\~o}es e
proje{\c{c}}{\~o}es clim{\'a}ticas no cen{\'a}rio futuro de
emiss{\~o}es SRES A2 geradas por in{\'u}meros Modelos Globais
Clim{\'a}ticos foram utilizados e o m{\'e}todo Reliability
Ensemble Averaging (REA) foi aplicado. O m{\'e}todo REA nos
permite estimar, atrav{\'e}s de uma m{\'e}dia ponderada de
modelos, um intervalo de incerteza e uma avalia{\c{c}}{\~a}o
probabil{\'{\i}}stica das proje{\c{c}}{\~o}es clim{\'a}ticas.
Os resultados mostram que a temperatura m{\'e}dia REA foi
ligeiramente menor (~8%) sobre toda Am{\'e}rica do Sul quando
comparado com a m{\'e}dia simples (ou seja, quando
atribu{\'{\i}}mos o mesmo peso para todos os membros do
conjunto). A probabilidade de um aumento de temperatura acima de
2\οC apresenta-se extremamente alta (>80%) para todo o
continente e em todas as esta{\c{c}}{\~o}es, e uma alta
probabilidade (>50%) de exceder 4\οC foi encontrada no
noroeste da Am{\'e}rica do Sul, bacia Amaz{\^o}nica e Nordeste
brasileiro para 2071-2100. ABSTRACT This study assess the
uncertainties and probabilities involved in projections of surface
air temperature change over the South America by the end of the
twenty-first century. Climate simulations and projections in the
SRES A2 emission scenarios generated by innumerous Global Climate
Models were used and the Reliability Ensemble Averaging (REA)
approach was applied. REA allows the estimation, through a
weighted mean of models, of an uncertainty range and a
probabilistic evaluation of climate outcomes. Results show that
the REA mean temperature change was slightly smaller (~8%) over
the whole of South America when compared to the simple ensemble
mean (i.e. when assigning the same weight to all ensemble
members). A temperature increase exceeding 2\ο C was found
to have an extremely high likelihood (>80%) for the entire South
America in all seasons, and a high likelihood (>50%) of exceeding
4\οC was found over Northwest South America, Amazon basin
and Northeast Brazil by 2071-2100.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "16 a 19de outubro de 2011",
targetfile = "Torres; Marengo - uncertainty and probability.PDF",
urlaccessdate = "15 jun. 2024"
}