[1] McKinnon K A, Rhines A, Tingley M P et al. Long-lead predictions of eastern United States hot days from Pacific Sea surface temperatures[J]. Nature Geoscience, 9, 389-394(2016).
[2] Sun X, Zhang M, Dong J Y et al. A deep framework for eddy detection and tracking from satellite sea surface height data[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 7224-7234(2021).
[3] Muhling B A, Tommasi D, Ohshimo S et al. Regional-scale surface temperature variability allows prediction of Pacific bluefin tuna recruitment[J]. ICES Journal of Marine Science, 75, 1341-1352(2018).
[4] Patil K, Deo M C, Ravichandran M. Prediction of sea surface temperature by combining numerical and neural techniques[J]. Journal of Atmospheric and Oceanic Technology, 33, 1715-1726(2016).
[5] Zhang X D, Zhang W L, Li Y B. Characteristics of the sea temperature in the North Yellow Sea[J]. Marine Forecasts, 32, 89-97(2015).
[6] Lins I D, Araujo M, Moura M D C et al. Prediction of sea surface temperature in the tropical Atlantic by support vector machines[J]. Computational Statistics & Data Analysis, 61, 187-198(2013).
[7] Patil K, Deo M C. Basin-scale prediction of sea surface temperature with artificial neural networks[J]. Journal of Atmospheric and Oceanic Technology, 35, 1441-1455(2018).
[8] Wie L, Guan L, Qu L Q et al. Prediction of sea surface temperature in the South China sea by artificial neural networks[J]. IEEE Geoscience and Remote Sensing Letters, 17, 558-562(2019).
[9] Zhu G Z, Hu S. Study on sea surface temperature model based on LSTM-RNN[J]. Journal of Applied Oceanography, 38, 191-197(2019).
[10] Zhang Z, Pan X L, Jiang T et al. Monthly and quarterly sea surface temperature prediction based on gated recurrent unit neural network[J]. Journal of Marine Science and Engineering, 8, 249(2020).
[11] Yang Y T, Dong J Y, Sun X et al. A CFCC-LSTM model for sea surface temperature prediction[J]. IEEE Geoscience and Remote Sensing Letters, 15, 207-211(2018).
[12] Zhang K, Geng X P, Yan X H. Prediction of 3-D ocean temperature by multilayer convolutional LSTM[J]. IEEE Geoscience and Remote Sensing Letters, 17, 1303-1307(2020).
[13] Xiao C J, Chen N C, Hu C L et al. Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach[J]. Remote Sensing of Environment, 233, 111358(2019).
[14] Cheng Z M. The characteristics and influencing factors of SST variation along the South China coast during the period 1960-2013[D], 20-23(2015).
[15] Lin Y D, Zhong G Q. A multi-channel LSTM model for sea surface temperature prediction[J]. Journal of Physics: Conference Series, 1880, 012029(2021).
[16] He Q, Zha C, Song W et al. Sea surface temperature prediction algorithm based on STL model[J]. Marine Environmental Science, 39, 918-925(2020).
[17] He Q, Hu Z Y, Xu H F et al. Sea surface temperature prediction method based on empirical mode decomposition-gated recurrent unit model[J]. Laser & Optoelectronics Progress, 58, 2415005(2021).
[18] Chen C L P, Liu Z L, Feng S. Universal approximation capability of broad learning system and its structural variations[J]. IEEE Transactions on Neural Networks and Learning Systems, 30, 1191-1204(2019).
[19] Dragomiretskiy K, Zosso D. Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 62, 531-544(2014).
[20] Hochreiter S, Schmidhuber J. Long short-term memory[J]. Neural Computation, 9, 1735-1780(1997).
[21] Chen C L P, Liu Z L. Broad learning system: an effective and efficient incremental learning system without the need for deep architecture[J]. IEEE Transactions on Neural Networks and Learning Systems, 29, 10-24(2018).