@Article{CeballosBottSouz:2004:SiPhMo,
author = "Ceballos, Juan Carlos and Bottino, Marcos Jorge and Souza, Jaidete
Moneiro de",
affiliation = "Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo \& Estudios
Climat, Div Satelites \& Sistemas Ambientais, BR-12630000 Sao
Paulo, Brazil",
title = "A simplified physical model for assessing solar radiation over
Brazil using GOES 8 visible imagery",
journal = "Revista Brasileira de Geof{\'{\i}}sica",
year = "2004",
volume = "109",
number = "D 2",
pages = "Art. No. D02211",
month = "Jan.",
keywords = "solar radiation, satellite, GOES 8, Brazil, atmospheric
water-vapor, satelite data, synthetic atmospheres, infrared
transmissiom, earths atmosphere, surface,absotion, budget,
parameterization, calibration.",
abstract = "Solar radiation assessment by satellite is constrained by physical
limitations of imagery and by the accuracy of instantaneous local
atmospheric parameters, suggesting that one should use simplified
but physically consistent models for operational work. Such a
model is presented for use with GOES 8 imagery applied to
atmospheres with low aerosol optical depth. Fundamental
satellite-derived parameters are reflectance and cloud cover. A
classification method applied to a set of images shows that
reflectance, usually defined as upper-threshold R-max in
algorithms assessing cloud cover, would amount similar to0.465,
corresponding to the transition between a cumuliform and a
stratiform cloud field. Ozone absorption is limited to the
stratosphere. The model considers two spectral broadband intervals
for tropospheric radiative transfer: ultraviolet and visible
intervals are essentially nonabsorbing and can be processed as a
single interval, while near-infrared intervals have negligible
atmospheric scattering and very low cloud transmittance. Typical
values of CO2 and O-3 content and of precipitable water are
considered. A comparison of daily values of modeled mean
irradiance with data of three sites (in rural, urban industrial,
and urban coastal environments), September-October 2002, exhibits
a bias of +5 W m(-2) and a standard deviation of similar to15 W
m(-2) (0.4 and 1.3 MJ m(-2) for daily irradiation). A comparison
with monthly means from about 80 automatic weather stations
(covering a large area throughout the Brazilian territory) still
shows a bias generally within +/- 10 W m(-2) and a low standard
deviation (<20 W m(-2)), but the bias has a trend in
September-December 2002, suggesting an annual cycle of local R-max
values. Systematic (mean) errors in partial cloud cover and in
nearly clear-sky situations may be enhanced using regional values
for atmospheric and surface parameters, such as precipitable
water, R-max, and ground reflectance. The larger errors are
observed in situations of high aerosol load (especially in regions
with industrial activity or forest or agricultural fires). The
last case is evident when sites in the Amazonian region or Sao
Paulo city are selected. When considering daily values averaged
within 2.5\&DEG; x 2.5\&DEG; cells, the standard error is lower
than 20 W m(-2); present results suggest an annual cycle of mean
bias ranging from +10 to -10 W m(-2), with an amplitude of -10 W
m(-2). These values are close to the proposed requirements of 10 W
m(-2) for the mean deviation and 25 W m(-2) for the standard
deviation. It is expected that the introduction of a reference
grid containing mean values of parameters within a cell could
induce a decrease in the standard deviation of mean errors and the
correction of their annual cycle. A model adaptation for assessing
the effect of high aerosol loads is needed in order to extend
improvements to the whole Brazilian area.",
copyholder = "SID/SCD",
issn = "0102-261X",
language = "en",
targetfile = "Ceballos_A simplified.pdf",
urlaccessdate = "12 maio 2024"
}