Study on forecasting ocean temperature profile based on the satellite data
Marine Forecasts(2011)
摘要
In order to improve the predition accuracy of the temperature profile,a method for forecasting ocean temperature profile based on the satellite data is developed.By using 27 in situ temperature profiles data,remote sensing SST(Sea Surface Temperature) and SSHA(Sea Surface Height Anomaly) data,the prediction of the tem-perature profile is achieved.The predition result of the temperature profile has been validated with the ARGO(Array for Real-time Geostrophic Oceanography) data.The experiment result shows that it is feasible by assim-ilating the remote data into the forecasting of temperature profile,and it improves the forecasting accuracy of ocean temperature profile effectively.
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关键词
SSHA,least squares,temperature profile,SST
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