@InProceedings{BrescianiFerrBoiaHerd:2020:ClPrBr,
author = "Bresciani, Caroline and Ferraz, Simone Erotildes Teleginski and
Boiaski, Nathalie Tissot and Herdies, Dirceu Lu{\'{\i}}s",
affiliation = "{Universidade Federal de Santa Maria (UFSM)} and {Universidade
Federal de Santa Maria (UFSM)} and {Universidade Federal de Santa
Maria (UFSM)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Climatology for precipitation in Brazil by the BAM model",
booktitle = "Proceedings...",
year = "2020",
organization = "American Meteorological Society Annual Meeting, 100.",
abstract = "Precipitation is one of the main meteorological variables that
define the climate of each region. The annual distribution of the
precipitation, as well as the amount and duration, are key factors
in the maintenance of various sectors that depend on water
availability, such as the energy sector, agricultural crops,
industries, human consumption, etc. Due to the vast territory and
different geography, in Brazil different atmospheric systems
operate and develop in each region, which results in an
inhomogeneity in the spatial and temporal distribution of
precipitation. Some Brazilian regions have a well-defined annual
precipitation distribution, characterizing a dry season (winter)
and a wet season (summer), such as the Southeast, Midwest and part
of the North. The southern region of Brazil has a uniform
distribution of precipitation showing high values due to the
action of medium latitude atmospheric systems, mainly cold fronts
and mesoscale convective systems. The Northeast region presents a
seasonal variation influenced by the displacement of the
Intertropical Convergence Zone (ITCZ), which shifts according to
the season established in the South, during the summer and in the
North during the winter of the Southern Hemisphere. The same
influence is observed in the far north of the country. Therefore,
the representation of precipitation is very complex and the need
for numerical models calibrated according to the atmospheric
conditions of the region to be analyzed is increasing. In view of
this need, researchers from the National Institute for Space
Research (INPE) in conjunction with several Universities have been
developing the Brazilian Global Atmospheric Model (BAM). BAM is an
evolving model in Brazil, based on the CPTEC/INPE global
atmospheric model called AGCM3 and seeks the best representation
of Brazilian conditions. With this in mind, this paper aims to
evaluate the performance of the BAM model in the representation of
precipitation in Brazil from the comparison with observed data. In
this study, we used precipitation data from the global BAM model,
with a resolution of approximately 1°, generated by the National
Institute for Space Research (INPE), from September, 1990 to
December, 2013. In addition to the model, we used daily observed
precipitation data of Brazil from the National Institute of
Meteorology (INMET), the National Water Agency (ANA) and the
Department of Water and Electric Energy of S{\~a}o Paulo (DAEE),
from 1990 to 2013, interpolated in high spatial resolution (0.25°
x 0.25°), for the comparison of the results obtained from the two
sets. Both sets of data underwent an interpolation process for a
spatial resolution network of approximately 1 ° for data
comparison. The analyzes were obtained from statistical methods,
with the mean and monthly standard deviation of the accumulated
precipitation, applied to both data sets, the difference between
the two data sets and the Pearson correlation coefficient
analysis. Overall, the initial results showed a good deal of
agreement between the two sets.",
conference-location = "Boston, USA",
conference-year = "12-16 jan.",
language = "en",
urlaccessdate = "27 abr. 2024"
}