@Article{FreitasPLRMRDDSFLFFSPEFMSSPCFCMFAGZFLSBTOM:2017:InEnMo,
author = "Freitas, Saulo Ribeiro de and Panetta, Jairo and Longo, Karla
Maria and Rodrigues, Luiz Fl{\'a}vio and Moreira, Demerval S. and
Ros{\'a}rio, Nilton E. and Dias, Pedro L. Silva and Dias, Maria
A. F. Silva and Souza, Enio P. and Freitas, Edmilson D. and Longo,
Marcos and Frassoni, Ariane and Fazenda, Alvaro L. and Silva,
Cl{\'a}udio M. Santos e and Pavani, Cl{\'a}udio Augusto Borges
and Eiras, Denis and Fran{\c{c}}a, Daniela A. and Massaru, Daniel
and Silva, Fernanda Batista and Santos, Fernando Cavalcante dos
and Pereira, Gabriel and Camponogara, Gl{\'a}uber and Ferrada,
Gonzalo A. and Campos Velho, Haroldo Fraga de and Menezes, Isilda
and Freira, Julliana L. and Alonso, Marcelo F. and G{\'a}cita,
Madeleine S{\'a}nchez and Zarzur, Maur{\'{\i}}cio and Fonseca,
Rafael M. and Lima, Rafael Stockler and Siqueira, Ricardo A. and
Braz, Rodrigo and Tomita, Simone and Oliveira, Valter and Martins,
Leila D.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Estadual Paulista
(UNESP)} and {Universidade Federal de S{\~a}o Paulo (UNIFESP)}
and {Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Universidade Federal de Campina Grande
(UFCG)} and {Universidade de S{\~a}o Paulo (USP)} and {Embrapa
Inform{\'a}tica Agropecu{\'a}ria} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal de S{\~a}o
Paulo (UNIFESP)} and {Universidade Federal do Rio Grande do Norte
(UFRN)} 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 {Universidade Federal de S{\~a}o Jo{\~a}o del-Rei}
and {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade de {\'E}vora} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de Pelotas} 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 {Universidade Tecnol{\'o}gica Federal do
Paran{\'a} (UFTP)}",
title = "The Brazilian developments on the Regional Atmospheric Modeling
System (BRAMS 5.2): an integrated environmental model tuned for
tropical areas",
journal = "Geoscientific Model Development",
year = "2017",
volume = "10",
pages = "189--222",
month = "Jan.",
abstract = "We present a new version of the Brazilian developments on the
Regional Atmospheric Modeling System (BRAMS), in which different
previous versions for weather, chemistry, and carbon cycle were
unified in a single integrated modeling system software. This new
version also has a new set of state-of-the-art physical
parameterizations and greater computational parallel and memory
usage efficiency. The description of the main model features
includes several examples illustrating the quality of the
transport scheme for scalars, radiative fluxes on surface, and
model simulation of rainfall systems over South America at
different spatial resolutions using a scale aware convective
parameterization. Additionally, the simulation of the diurnal
cycle of the convection and carbon dioxide concentration over the
Amazon Basin, as well as carbon dioxide fluxes from biogenic
processes over a large portion of South America, are shown.
Atmospheric chemistry examples show the model performance in
simulating near-surface carbon monoxide and ozone in the Amazon
Basin and the megacity of Rio de Janeiro. For tracer transport and
dispersion, the model capabilities to simulate the volcanic ash
3-D redistribution associated with the eruption of a Chilean
volcano are demonstrated. The gain of computational efficiency is
described in some detail. BRAMS has been applied for research and
operational forecasting mainly in South America. Model results
from the operational weather forecast of BRAMS on 5km grid spacing
in the Center for Weather Forecasting and Climate Studies,
INPE/Brazil, since 2013 are used to quantify the model skill of
near-surface variables and rainfall. The scores show the
reliability of BRAMS for the tropical and subtropical areas of
South America. Requirements for keeping this modeling system
competitive regarding both its functionalities and skills are
discussed. Finally, we highlight the relevant contribution of this
work to building a South American community of model developers.",
doi = "10.5194/gmd-10-189-2017",
url = "http://dx.doi.org/10.5194/gmd-10-189-2017",
issn = "1991-959X",
language = "en",
targetfile = "freitas_brazilian.pdf",
urlaccessdate = "29 mar. 2024"
}