@InProceedings{SchirmbeckFont:2017:UsDaCl,
author = "Schirmbeck, Juliano and Fontana, Denise Cybis",
title = "Uso de dados clim{\'a}ticos globais de reanalise e produtos MODIS
na estimativa dos componentes de balan{\c{c}}o de energia",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6506--6513",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Most studies of estimation of Energy Balance components on a
regional scale, in addition to using images, require surface
meteorological data. The most commonly used data are air
temperature (Ta), global radiation (Rg) and wind speed (U2). The
purpose of this paper is to analyze the possibility of the use of
MODIS products and meteorological data of reanalysis (NCEP/DOE
Reanalysis II). The study period covered three years, from 2009 to
2011, using data from three different sources: a) MODIS products,
b) climatic data of reanalysis and c) data from a
micrometeorological tower located in the municipality of Cruz Alta
- RS. The analysis of the results from the import process and
spatial interpolation of the reanalysis data allowed the smoothing
of the spatial distribution of the climatic variables, which
allows the use of the data of this product as input data in the BE
models. The dispersions between the meteorological variables
measured in the tower and the reanalysis data presented high
association for the Ta and Rg data. Estimates of BE components
presented satisfactory performance, the dispersions presented
concentration of points in the vicinity of the 1: 1 line for the
different BE components, with more significant deviations observed
on some specific days. The use of reanalysis data has as its main
advantage the regular spatial distribution and constant temporal
sequence of the meteorological variables, which has contributed
greatly to studies on a regional scale.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59834",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMD2S",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMD2S",
targetfile = "59834.pdf",
type = "Meteorologia e climatologia",
urlaccessdate = "27 abr. 2024"
}