@Article{SánchezSRBSRMMCJ:2015:CoApTo,
author = "S{\'a}nchez, E. and Solman, S. and Rem{\'e}dio, A. R. C. and
Berbery, H. and Samuelsson, P. and Rocha, R. P. and Mour{\~a}o,
Caroline Est{\'e}phanie Ferraz and Marengo, Jos{\'e}
Ant{\^o}nio and Castro, M. and Jacob, D.",
affiliation = "{University of Castilla La Mancha} and {Centro de Investigaciones
del Mar y la Atm{\'o}sfera} and {Climate Service Center 2.0} and
{University of Maryland} and {Rossby Centre} and {Universidade de
S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {University of Castilla La Mancha} and {Climate
Service Center 2.0}",
title = "Regional climate modelling in CLARIS-LPB: a concerted approach
towards twentyfirst century projections of regional temperature
and precipitation over South America",
journal = "Climate Dynamics",
year = "2015",
volume = "45",
number = "7/8",
pages = "2193--2212",
month = "Oct.",
keywords = "Climate change, Regional climate modelling, South America.",
abstract = "The results of an ensemble of regional climate model (RCM)
simulations over South America are presented. This is the first
coordinated exercise of regional climate modelling studies over
the continent, as part of the CLARIS-LPB EU FP7 project. The
results of different future periods, with the main focus on
(20712100) is shown, when forced by several global climate models,
all using the A1B greenhouse gases emissions scenario. The
analysis is focused on the mean climate conditions for both
temperature and precipitation. The common climate change signals
show an overall increase of temperature for all the seasons and
regions, generally larger for the austral winter season. Future
climate shows a precipitation decrease over the tropical region,
and an increase over the subtropical areas. These climate change
signals arise independently of the driving global model and the
RCM. The internal variability of the driving global models
introduces a very small level of uncertainty, compared with that
due to the choice of the driving model and the RCM. Moreover, the
level of uncertainty is larger for longer horizon projections for
both temperature and precipitation. The uncertainty in the
temperature changes is larger for the subtropical than for the
tropical ones. The current analysis allows identification of the
common climate change signals and their associated uncertainties
for several subregions within the South American continent.",
doi = "10.1007/s00382-014-2466-0",
url = "http://dx.doi.org/10.1007/s00382-014-2466-0",
issn = "0930-7575",
language = "en",
targetfile = "2015_sanchez.pdf",
urlaccessdate = "25 abr. 2024"
}