基于遥感数据的温度剖面预报研究

Study on forecasting ocean temperature profile based on the satellite data

为了提高温度剖面的预报精度,提出了一种基于遥感数据的温度剖面预报方法。文中使用27个实测温度剖面和遥感SST、SSHA数据实现了对温度剖面的预报,并用该点的ARGO数据进行了检验。实验结果表明,将遥感数据同化到温度剖面的预报中是可行的,并能有效的提高温度剖面的预报精度。

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.