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368 VOLUME 42J O U R N A L O F A P P L I E D M E T E O R O L O G Y 2003 American Meteorological Society
 

Summary: 368 VOLUME 42J O U R N A L O F A P P L I E D M E T E O R O L O G Y
2003 American Meteorological Society
Retrieval of Surface and Atmospheric Geophysical Variables over Snow-Covered Land
from Combined Microwave and Infrared Satellite Observations
C. PRIGENT
CNRS, LERMA, Observatoire de Paris, Paris, France
F. AIRES
Department of Applied Physics, Columbia University, NASA Goddard Institute for Space Studies, New York, New York
W. B. ROSSOW
NASA Goddard Institute for Space Studies, New York, New York
(Manuscript received 20 May 2002, in final form 18 September 2002)
ABSTRACT
Surface temperature and emissivities, as well as atmospheric water vapor and cloud liquid water, have been
calculated from Special Sensor Microwave Imager observations for snow-covered land areas using a neural
network inversion scheme that includes first-guess information. A learning database to train the neural network
is derived from a global collection of coincident surface and atmospheric parameters, extracted from the National
Centers for Environmental Prediction reanalysis, from the International Satellite Cloud Climatology Project data,
and from microwave emissivity atlases previously calculated. Despite the large space and time variability of
the snow microwave response, the surface and atmospheric parameters are retrieved. Water vapor is estimated
with a theoretical rms error of approximately 30%, verified against radiosonde measurements, that is almost the

  

Source: Aires, Filipe - Laboratoire de Météorologie Dynamique du CNRS, Université Pierre-et-Marie-Curie, Paris 6
Goddard Institute for Space Studies (NASA)

 

Collections: Environmental Sciences and Ecology; Geosciences