A neural network-based forward model for direct assimilation of SSM/I brightness temperatures

Krasnopolʹsky, V. M.

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A neural network-based forward model for direct assimilation of SSM/I brightness temperatures

1997
By Krasnopolʹsky, V. M.
Series: Contribution (NOAA Ocean Products Center) no. 140.

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Personal Author:

Krasnopolʹsky, V. M.
Corporate Authors:

National Centers for Environmental Prediction (U.S.). ; Environmental Modeling Center (U.S.)
NOAA Program & Office:

NWS (National Weather Service) ; EMC (Environmental Modelling Center) ; NCEP (National Centers for Environmental Prediction)
Description:

This report contains a description of a new neural network (NN) SSM/I forward model (FM) or geophysical model function (GMF) which generates SSM/I brightness temperatures (BTs) at five frequencies, 19GHz(V and H), 22GHz (V), and 37GHz(V and H) given the wind speed (W in m/s), columnar water vapor (V in mm), columnar liquid water (L in mm), and SST (in °C). This OMBFM1 (Ocean Modeling Branch Forward Model number 1) has been developed to be used for direct assimilation of SSM/I BTs into NCEP atmospheric forecast models.
Keywords:

Marine Meteorology Mathematical Models Ocean-atmosphere Interaction Research Speed Winds Marine Meteorology Mathematical Models Ocean-atmosphere Interaction
Series:

Contribution (NOAA Ocean Products Center) no. 140. ; OMB (Ocean Modeling Branch) contribution no. 140. ; Technical note (National Centers for Environmental Prediction (U.S.))
Format:

PDF
Document Type:

Technical Note
Place as Subject:

United States
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Library
Main Document Checksum:

urn:sha256:0fd2943ec1affc62d497549a5bda3ab016928f8dd969615666c05859c2d36e76
Download URL:

https://repository.library.noaa.gov/view/noaa/49720/noaa_49720_DS1.pdf
File Type:

[PDF - 15.92 MB ]

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