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Proceedings Paper

SOM-network-based algorithm for retrieving over-ocean precipitable water from the SSM/I measurements
Author(s): Hongbin Chen; Jianchun Bian; Peicai Yang; Daren Lu
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Paper Abstract

Based on the nearly coincided and collocated SSM/I and radiosonde data provided by NASDA (Japan), a self-organizing map (SOM) network-based model is developed for retrieving the oceanic total precipitable water (PW) from the SSM/I brightness temperature measurements. The model was firstly trained with the 5/6th of the data and then tested by the rest data. Comparisons of retrieved results with other algorithms show that the SOM model is significantly better than the classical statistically-based algorithms, especially in the low PW regime. The consuming time for PW retrievals with the SOM model is also acceptable in the operational applications.

Paper Details

Date Published: 19 August 1998
PDF: 4 pages
Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); doi: 10.1117/12.319474
Show Author Affiliations
Hongbin Chen, Institute of Atmospheric Physics (China)
Jianchun Bian, Institute of Atmospheric Physics (China)
Peicai Yang, Institute of Atmospheric Physics (China)
Daren Lu, Institute of Atmospheric Physics (China)

Published in SPIE Proceedings Vol. 3503:
Microwave Remote Sensing of the Atmosphere and Environment
Tadahiro Hayasaka; Dong Liang Wu; Yaqiu Jin; JingShang Jiang, Editor(s)

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