@ElectronicSource{RozanteMoreGoncVila::TeVaOv,
abstract = "The measure of atmospheric models performance is highly dependent
on the quality of the observations used in its evaluation process.
In the particular case of operational forecast centers, large
scale datasets should be made available in a time manner for
continuous assessment of models results. Numerical models and
surface observations usually work at distinct spatial scales (i.e.
point measurements versus areal average in a regular grid), making
direct comparison a hard task. Alternatively, interpolation
methods are employed for mapping observational data to regular
grids and vice-versa. A new technique (hereafter called MERGE) to
combine TRMM satellite precipitation estimates with surface
observations over the South American continent is proposed and its
performance evaluated for the Summer and Winter trimesters of
2007. Two different approaches for the evaluation of the
performance of this product against observations were tested: a
cross-validation sub-sampling the entire continent and other
sub-sampling only areas with sparse observations. Results show
that over areas with high density observations the MERGE technique
performance is equivalent to simply average stations over the grid
boxes however, over areas with sparse observations MERGE has shown
superior results.",
address = "S{\~a}o Jos{\'e} dos Campos",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
author = "Rozante, Jos{\'e} Roberto and Moreira, Demerval Soares and
Goncalves, Luis Gustavo G. de and Vila, Daniel A.",
keywords = "*.",
language = "en",
lastupdatedate = "2009-09-16",
publisher = "Instituto and Nacional and de and Pesquisas and Espaciais",
ibi = "8JMKD3MGP8W/363QCSL",
url = "http://urlib.net/ibi/8JMKD3MGP8W/363QCSL",
targetfile = "v1.pdf",
title = "Combining TRMM and Surface Observation Precipitation: Technique
and Validation Over South American",
typeofmedium = "On-line",
urlaccessdate = "15 jun. 2024"
}