@Article{TorresMare:2014:CMCMMu,
author = "Torres, Roger Rodrigues and Marengo, Jose Antonio",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Climate change hotspots over South America: from CMIP3 to CMIP5
multi-model datasets",
journal = "Theoretical and Applied Climatology",
year = "2014",
volume = "1",
number = "1",
pages = "1--9",
keywords = "climate, South America.",
abstract = "This study identifies possible hotspots of climate change in South
America through an examination of the spatial pattern of the
Regional Climate Change Index (RCCI) over the region by the end of
the twenty-first century. The RCCI is a qualitative index that can
synthesize a large number of climate model projections, and it is
suitable for identifying those regions where climate change could
be more pronounced in a warmer climate. The reliability and uncer-
tainties of the results are evaluated by using numerous state-
of-the-art general circulation models (GCMs) and forcing scenarios
from the Coupled Model Intercomparison Project phases 3 and 5. The
results show that southern Amazonia and the central-western region
and western portion of Minas Gerais state in Brazil are persistent
climate change hotspots through different forcing scenarios and
GCM datasets. In general, as the scenarios vary from low- to
high-level forcing, the area of high values of RCCI increase and
the magnitude intensify from central-western and southeast Brazil
to north- west South America. In general, the climatic hotspots
identi- fied in this study are characterized by an increase of
mean surface air temperature, mainly in the austral winter; by an
increase of interannual temperature variability, predominantly in
the austral summer; and by a change in the mean and interannual
variability of precipitation during the austral winter.",
doi = "10.1007/s00704-013-1030-x",
url = "http://dx.doi.org/10.1007/s00704-013-1030-x",
issn = "0177-798X",
label = "lattes: 5641165392004404 1 TorresMare:2013:CMCMMu",
language = "en",
targetfile = "Torres_Climate.pdf",
urlaccessdate = "27 abr. 2024"
}