A New transfer function for SSM/I based on an expanded neural network architecture

Krasnopolʹsky, V. M.; Breaker, L. C.; Gemmill, William H.

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A New transfer function for SSM/I based on an expanded neural network architecture

1996
By Krasnopolʹsky, V. M. ; Breaker, L. C. ; Gemmill, William H.
Series: OMB contribution ; no. 137

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Personal Author:

Krasnopolʹsky, V. M. ; Breaker, L. C. ; Gemmill, William H.

Krasnopolʹsky, V. M. ; Breaker, L. C. ; Gemmill, William H. Less -
Corporate Authors:

Environmental Modeling Center (U.S.) ; National Centers for Environmental Prediction (U.S.)

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

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

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

A new neural network (NN) SSM/I transfer function (OMBNN3) which retrieves wind speed (W), columnar water vapor (V), columnar liquid water (L), and SST, using only satellite data (five SSM/I brightness temperatures (BTs)) is introduced and compared with the current operational (GSW) algorithm and NN algorithms developed earlier (OMBNN1 and OMBNN2). The new NN algorithm systematically outperforms all algorithms considered for all SSM/I instruments (F8, F10, Fll and F13), under all weather conditions where retrievals are possible, and for all wind speeds. It also retrieves Vand L with an accuracy close to that of cal/val (for V) and Weng and Grody (forL) algorithms, and produces low resolution SSTs with moderate accuracy. OMBNN3 demonstrates significantly better performance at higher wind speeds (and higher latitudes) than previous NN-based algorithms. It generates wind speeds up to ~23 m/s for the available test data, and has a theoretical upper limit of about 32 m/s. The retrieval accuracy for OMBNN3 does not depend significantly on the satellite and/or instrument.
Keywords:

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Computer Programs Marine Meteorology Measurement Neural Networks (Computer Science) Ocean-atmosphere Interaction Research Speed Winds
Series:

OMB contribution ; no. 137 ; Technical note (National Centers for Environmental Prediction (U.S.))

OMB contribution ; no. 137 ; Technical note (National Centers for Environmental Prediction (U.S.)) Less -
Format:

PDF
Document Type:

Technical Note
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United States
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https://creativecommons.org/publicdomain/zero/1.0/
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CC0 Public Domain
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urn:sha256:c8af45220bd147e6620f4d14234c0c2dd1e5d16c4cafb83f58b63be22bdccff9
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https://repository.library.noaa.gov/view/noaa/49369/noaa_49369_DS1.pdf
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A New transfer function for SSM/I based on an expanded neural network architecture

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