@InProceedings{NascimentoHerdAnge:2010:AvPrSo,
author = "Nascimento, Mar{\'{\i}}lia Guedes do and Herdies, Dirceu Luis
and Angelis, Carlos Frederico De",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o da precipita{\c{c}}{\~a}o sobre a
Am{\'e}rica do Sul com os dados de rean{\'a}lise MERRA e
NCEP-GFSR",
booktitle = "Anais...",
year = "2010",
organization = "Congresso Brasileiro de Meteorologia, 16.",
publisher = "SBMET",
address = "Rio de Janeiro, RJ",
keywords = "precipita{\c{c}}{\~a}o, MERRA, NCEP-GFSR, Am{\'e}rica do Sul.",
abstract = "This paper seeks to know better the rainfall behavior in two
different reanalysis data (MERRA and NCEP-GFSR) for the South
America, with emphasis on the Amazon Basin and the La Plata Basin
regions. This evaluation was done comparing these two datasets
with data from the 3B42 algorithm for the period of 10 years
(1999-2008) through the spatial correlation and the average
difference between them. This study is relevant, primarily because
no validation was held for these two datasets for South America,
and also because through the results is expected to have an idea
of what will be the best given be used in studies of water balance
for the whole of South America, for example. The results showed a
good spatial correlation with both MERRA and NCEP-CFSR data,
making them able to represent the main patterns of weather systems
over South America, having only difficulties to quantify
accurately the amounts of precipitation. The difference between
these reanalysis and TRMM data can conclude that the best data
sets for use, especially over the the Amazon Basin and the La
Plata Basin regions, are the NCEP-CFSR data, because the
difference found was very small.",
conference-location = "Belem, PA",
conference-year = "13-17 set 2010",
language = "pt",
targetfile = "Nascimento_avalia{\c{c}}{\~a}o.pdf",
urlaccessdate = "13 maio 2024"
}