Neural networks for standard and variational satellite retrievals

Krasnopolʹsky, V. M.

i

Neural networks for standard and variational satellite retrievals

1997
By Krasnopolʹsky, V. M.
Series: OMB contribution no. 148

Details

Personal Author:

Krasnopolʹsky, V. M.
Corporate Authors:

Environmental Modeling Center (U.S.)
NOAA Program & Office:

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

In this report, two different types of NN applications in the satellite remote sensing are described: NN solutions for the empirical forward problem and the empirical inverse (or retrieval) problem.
Keywords:

Mathematical Models Neural Networks (Computer Science) Numerical Weather Forecasting Mathematical Models Neural Networks (Computer Science) Numerical Weather Forecasting
Series:

OMB contribution no. 148
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:sha-512:c75c82700caf983f5f62019e48c0e0e607ca0a24a83739819dfa35e5e473caa236361b724b6d455724f3ff1ec22e75e70c2979c5fe1fc72a1ce9557232cb4195
Download URL:

https://repository.library.noaa.gov/view/noaa/69907/noaa_69907_DS1.pdf
File Type:

[PDF - 5.92 MB ]

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