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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/16351

Title: A neural network to retrieve the mesoscale instantaneous latent heat flux over oceans from SSM/I observations
Authors: Bourras, D.
Eymard, L.
Liu, W. T.
Issue Date: 26-Oct-2000
Citation: ANS 11th Symposium of Meteorological Observations and Instrumentation
Albuquerque, New Mexico, USA
Abstract: The turbulent latent and sensible heat fluxes are necessary to study heat budget of the upper ocean or initialize ocean general circulation models. In order to retrieve the latent heat flux from satellite observations authors mostly use a bulk approximation of the flux whose parameters are derived from different instrument. In this paper, an approach based on artificial neural networks is proposed and compared to the bulk method on a global data set and 3 local data sets.
URI: http://hdl.handle.net/2014/16351
Appears in Collections:JPL TRS 1992+

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