@Article{VeigaNGCSMFBKN:2019:EvItCM,
author = "Veiga, Sandro Miguel Ferreira and Nobre, Paulo and Giarolla,
Emanuel and Capistrano, Vin{\'{\i}}cius and Silva J{\'u}nior,
Manoel Baptista da and Marquez, Andr{\'e} Lanfer and Figueroa,
Silvio Nilo and Bonatti, Jos{\'e} Paulo and Kubota, Paulo Yoshio
and Nobre, Carlos Afonso",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade do Estado do
Amazonas (UEA)} 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 {Unversidade de S{\~a}o Paulo
(USP)}",
title = "The Brazilian Earth System Model ocean-atmosphere (BESM-OA)
version 2.5: evaluation of its CMIP5 historical simulation",
journal = "Geoscientific Model Development",
year = "2019",
volume = "12",
number = "4",
pages = "1613--1642",
month = "Apr.",
abstract = "The performance of the coupled ocean-atmosphere component of the
Brazilian Earth System Model version 2.5 (BESM-OA2.5) was
evaluated in simulating the historical period 1850-2005. After a
climate model validation procedure in which the main atmospheric
and oceanic variabilities were evaluated against observed and
reanalysis datasets, the evaluation specifically focused on the
mean climate state and the most important large-scale climate
variability patterns simulated in the historical run, which was
forced by the observed greenhouse gas concentration. The most
significant upgrades in the model's components are also briefly
presented here. BESM-OA2.5 could reproduce the most important
large-scale variabilities, particularly over the Atlantic Ocean
(e.g., the North Atlantic Oscillation, the Atlantic Meridional
Mode, and the Atlantic Meridional Overturning Circulation), and
the extratropical modes that occur in both hemispheres. The
model's ability to simulate such large-scale variabilities
supports its usefulness for seasonal climate prediction and in
climate change studies.",
doi = "10.5194/gmd-12-1613-2019",
url = "http://dx.doi.org/10.5194/gmd-12-1613-2019",
issn = "1991-959X",
language = "en",
targetfile = "gmd-12-1613-2019.pdf",
urlaccessdate = "27 abr. 2024"
}