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What is the Sea surface Temperature? It is an import physical quantity of the ocean system. The accuracate prediction of SST is essential for studying physical ocean phenomena and forecasting the ocean environment information. Current research methods for predicting sea surface temperature fall into two broad categories: Numerical methods and Data-driven methods. The former has the problem that it can only be used for small data sets, single-point prediction problems, and ignores the interactions between points. The latter does not take into account the importance of historical information and does not take advantage of the regularity information of the data itself. So for better prediction of SST, we proposed a new approach based on 3D CNN and LSTM with attention mechanism. which not only consider the impact of training data input mode, but also take into account the importance of historical information.
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IEEE/ICACT20210141 Slide.04
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