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Proceedings Paper

Applying satellite remote sensing to ENSO prediction
Author(s): Dake Chen
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Paper Abstract

The usability of altimeter sea level data (TOPEX) and scatterometer wind data (QuikSCAT) in ENSO prediction is investigated with the latest version of the Lamont forecast model. The emphasis of this study is on the effectiveness of these data sets in initializing the model to forecast the 1999-2000 La Nina conditions. Both TOPEX and QuikSCAT observations seem to help the model to make better predictions in the tropical Pacific, with the former being more effective for this period. It is possible and extremely useful to apply these data to real-time ENSO forecasting. In principle, it is advisable to assimilate multiple data sets so that they can complement one another in providing the correct initial conditions for the model.

Paper Details

Date Published: 22 December 2000
PDF: 8 pages
Proc. SPIE 4172, Remote Sensing of the Ocean and Sea Ice 2000, (22 December 2000); doi: 10.1117/12.411706
Show Author Affiliations
Dake Chen, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 4172:
Remote Sensing of the Ocean and Sea Ice 2000
Charles R. Bostater Jr.; Rosalia Santoleri, Editor(s)

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