Applying satellite remote sensing to predicting 1999–2000 La Niña

نویسنده

  • Dake Chen
چکیده

The usability of altimeter sea level data (TOPEX/POSEIDON) and scatterometer wind data (QuikSCAT) in El Niño and the Southern Oscillation (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 Niña conditions. Both the altimeter and scatterometer observations helped to improve the model, 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. D 2001 Elsevier Science Inc. All rights reserved.

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تاریخ انتشار 2001