@Article{CavalcantiSiFiKuBoSo:2020:ClVaOv,
author = "Cavalcanti, Iracema Fonseca de Albuquerque and Silveira, Virginia
Piccinini and Figueroa, Silvio Nilo and Kubota, Paulo Yoshio and
Bonatti, Jos{\'e} Paulo and Souza, Dayana Castilho de",
affiliation = "{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)}",
title = "Climate variability over South America-regional and large scale
features simulated by the Brazilian Atmospheric Model (BAM-v0)",
journal = "International Journal of Climatology",
year = "2020",
volume = "40",
number = "5",
pages = "2845--2869",
month = "Apr.",
keywords = "Atmospheric Global Circulation Model, BAM-v0, climate variability,
South America, teleconnections.",
abstract = "The reliability of climate prediction by a global model is
directly related to the ability to simulate the observed climate
variability and the main teleconnection patterns. Precipitation
anomalies in certain regions are strongly affected by these
features, and it is important to know if models are able to
reproduce such patterns and influences. The main objective of this
article is to analyse some global features of the Brazilian
Atmospheric Model with simplified physics (BAM-v0), and to discuss
several aspects of climate variability over South America.
Especially, the ability of the model in simulating the main
teleconnection patterns that affect South America and the
precipitation variability in several regions of Brazil associated
with the Pacific and Atlantic Sea Surface Temperature. The model
is the atmospheric component of the Brazilian Earth System
Model-OceanAtmosphere (BESM), which can be used to long
integrations due to the simplified physics, considering computer
limitations. Climate variability is investigated through analyses
of variance and correlations, and teleconnections such as Southern
Annular Mode (SAM) and Pacific South American (PSA) are obtained
from EOF analyses. El Niņo Southern Oscillation (ENSO) features
are analysed through the Southern Oscillation Index and
precipitation anomalies. BAM-v0, even at coarse resolution,
represents many climate variability features. It captures the
influences of tropical Pacific and Atlantic Oceans on Northeast
Brazil precipitation and reproduces the influences of ENSO over
South America. SAM and PSA teleconnections are well simulated.
Observed features of the South America Monsoon System are captured
by the model, although the intensities of precipitation
variability need to be improved. There are some deficiencies
related to global budget, precipitation variance in some regions
of the globe and precipitation anomalies in certain regions of
South America. Identification of model deficiencies and
variability analyses are important to model development and
contribute to climate prediction improvements.",
doi = "10.1002/joc.6370",
url = "http://dx.doi.org/10.1002/joc.6370",
issn = "0899-8418",
language = "en",
targetfile = "cavalcanti_climate-compactado.pdf",
urlaccessdate = "24 set. 2024"
}