@Article{DereczynskiCLSRTCGRS:2020:MoEvRe,
author = "Dereczynski, Claudine Pereira and Chou, Sin Chan and Lyra,
Andr{\'e} de Arruda and Silva, Marcely Sondermann da and Regoto,
Pedro and Tavares, Priscila da Silva and Chagas, Diego Jos{\'e}
and Gomes, Jorge Lu{\'{\i}}s and Rodrigues, Daniela Carneiro and
Skansi, Mar{\'{\i}}a de los Milagros",
affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Serv{\'{\i}}cio
Meteorol{\'o}gico Nacional}",
title = "Downscaling of climate extremes over South America – Part I: model
evaluation in the reference climate",
journal = "Weather and Climate Extremes",
year = "2020",
volume = "29",
pages = "e100273",
month = "Sept.",
keywords = "Climate change, Temperature trends, Precipitation trends,
Simulated trends, Regional model.",
abstract = "In this paper, we evaluate temperature and precipitation trends
over South America (SA), simulated by the regional Eta model with
20-km horizontal resolution nested to three global models: The
Canadian Earth System Model Second Generation (CanESM2-ES), The
Met Office Hadley Centre Global Environmental Model - Earth System
(HadGEM2-ES) and the Model for Interdisciplinary Research on
Climate version 5 (MIROC5). The simulated trends are compared to
observed trends (OBS) using six (four) extreme temperature
(precipitation) indices recommended by the Expert Team on Climate
Change Detection and Indices. In both simulations and OBS, extreme
temperature trends over Amazon (AMZ) and Northeast Brazil (NEB)
are higher than over South East SA (SESA) and West SA (WSA). Also,
trends based on maximum temperatures are, in general, smaller than
those based on minimum temperatures. The three downscaling
simulations reproduce these features. The temperature simulations
of the Eta-CanESM2 (Eta-MIROC5) show the largest (smallest) trends
among the three simulations. The Eta-MIROC5, performs better than
the other two simulations, reproducing the signals and the
magnitudes of the extreme temperature trends, and some cooling
trends over SESA, as shown in the observation. Precipitation
trends from the three simulations do not compare well with
observations, such as temperature trends. However, Eta-MIROC5
presents the best simulations, showing increase in the magnitude
of the precipitation extremes over most of SA. The results from
the three simulations presented here will be further used for the
assessment of climate change projections in the SA region.",
doi = "10.1016/j.wace.2020.100273",
url = "http://dx.doi.org/10.1016/j.wace.2020.100273",
issn = "2212-0947",
language = "en",
targetfile = "dereczynski_downscaling.pdf",
urlaccessdate = "27 abr. 2024"
}