@InProceedings{SouzaCoutNasc:2017:MéSiEs,
author = "Souza, Juarez Dantas and Couto, Arthur Cantalice and Nascimento,
Lidiane Ramos",
title = "Um m{\'e}todo simples para estimar radia{\c{c}}{\~a}o solar na
superf{\'{\i}}cie com presen{\c{c}}a de nuvens na atmosfera",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2378--2384",
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 = "The products derived from the MODIS sensor are known for their
accuracy and have been used for various purposes. The quality of
these products has been proven by users but improvements are still
accomplished for new collections. It happened with the cloud
products collections 5 and 6. The aim of this paper is to provide
a simple method to estimate instantaneous solar radiation at the
surface using the cloud optical properties derived from MODIS
cloud product (MOD/MYD06) Collection 6. Many papers have been
published aiming the same objective. However, physical methods are
more accurate and are references to produce simplified methods. In
this work, the method was developed using a radiative transfer
model, based on the two-stream method, with the atmosphere divided
into 40 layers with thickness between 23 and 25 mb. As a result, a
very simple algorithm is applied to the entire atmospheric layer.
The method was applied at three different sites in rural
northeastern Brazil, where the observed clouds have optical depth
within the range 1.7 to 26 (-). The results attest the efficiency
of the proposed method. The comparison between estimated and
observed values on the surface shows a mean absolute relative
error of 12%, a mean absolute error of 58 W/m2 and a RMSE of 70
W/m2, while existing methods present a RMSE between 90 and 100
W/m2.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59259",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLQFL",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQFL",
targetfile = "59259.pdf",
type = "Meteorologia e climatologia",
urlaccessdate = "27 abr. 2024"
}