@InProceedings{CintraSilv:2006:ArNeNe,
author = "Cintra, Rosangela Saher Correa and Silva, Jos{\'e}
Dem{\'{\i}}sio Sim{\~o}es",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Artificial Neural Network to estimate Integrated Water Vapor using
satellite data from HSB sensor",
booktitle = "Proceedings...",
year = "2006",
editor = "Vera, Carolina and Nobre, Carlos",
pages = "11--15",
organization = "International Conference on Southern Hemisphere Meteorology and
Oceanography, 8. (ICSHMO).",
publisher = "American Meteorological Society (AMS)",
address = "45 Beacon Hill Road, Boston, MA, USA",
keywords = "integrated water vapor, satellite data, artificial neural network,
brightness temperature, multilayer percepton.",
abstract = "Artificial Neural Network (ANN) is applied to estimate the
Integrated Water Vapor (IWV) of atmosphere, using HSB (Humidy
Sensor Brazil) channels data from AQUA satellite, and simulations
of the brightness temperatures from RTTOV-7. The intention of HSB
is to obtain information of the content of water vapor in the
atmosphere, precipitation, and when it is together instruments,
such as: AMSU-A (Advanced Microwave Sounding Unit-A) and AIRS
(Atmospheric Infrared Sounder), also on board of the AQUA
satellite, they allow to infer soundings of atmospheric profiles
of temperature and moisture under conditions of clear and cloudy
sky. The HSB is a sensor with the same characteristics of the
sounder AMSU-B that is on board of the satellites of the series
NOAA-KLM, then this method can applied with that data. This paper
shows the ANN as a new method to estimate IWV, with supervised
training of observations data from the RACCI/LBA experiment in
Rond{\^o}nia/Brazil, during period of September and October 2002.
The Total IWV is also compared against radiosonde data, where all
of the results are in good agreement with RMS differences less
than 4 mm and biases less than 1 mm. This method can also used to
estimate the variability of distribution of water vapor in
atmosphere through the on-line update training process. The total
precipitable water in Kg/m2 is near to the integrated values of
the profiles of absolute moisture of the radiosondes of the
experiment RaCCI/LBA.. In Southern Hemisphere, there is a big
disadvantage, because the space and temporary distribution of the
observations is weak. This method allows the estimate of the IWV
to connect straightly the temperature of brilliance with the
quantity of water vapor (for a determined vertical profile of
temperature). These observations are important in weather
forecast, like observation of moisture field of initial conditions
for the numerical models, through the Data Assimilation to obtain
homogeneous fields of the analysis. Since the conventional
observations for radiosonde offer quite limited space covering,
particularly in the South America, then there is a method of
estimate of water vapor in the atmosphere from satellite data,
that it will improve the limitations of the meteorological
observations of conventional stations.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "24-28 Apr. 2006",
copyholder = "SID/SCD",
language = "en",
organisation = "American Meteorological Society (AMS)",
ibi = "cptec.inpe.br/adm_conf/2005/10.31.17.23",
url = "http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.31.17.23",
targetfile = "11-15.pdf",
type = "Addressing gaps in SH observing systems",
urlaccessdate = "07 maio 2024"
}