%0 Journal Article %1 journals/remotesensing/ZhangHWLSLCWDJ24 %A Zhang, Mengmeng %A Han, Guijun %A Wu, Xiaobo %A Li, Chaoliang %A Shao, Qi %A Li, Wei %A Cao, Lige %A Wang, Xuan %A Dong, Wanqiu %A Ji, Zenghua %D 2024 %J Remote. Sens. %K dblp %N 6 %P 1034 %T SST Forecast Skills Based on Hybrid Deep Learning Models: With Applications to the South China Sea. %U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#ZhangHWLSLCWDJ24 %V 16

@article{journals/remotesensing/ZhangHWLSLCWDJ24, added-at = {2024-04-15T00:00:00.000+0200}, author = {Zhang, Mengmeng and Han, Guijun and Wu, Xiaobo and Li, Chaoliang and Shao, Qi and Li, Wei and Cao, Lige and Wang, Xuan and Dong, Wanqiu and Ji, Zenghua}, biburl = {https://www.bibsonomy.org/bibtex/27386b901b0fac825d297bc1ab6d049a8/dblp}, ee = {https://doi.org/10.3390/rs16061034}, interhash = {09d7ffff6fc0d74c4db778f1eea88c9e}, intrahash = {7386b901b0fac825d297bc1ab6d049a8}, journal = {Remote. Sens.}, keywords = {dblp}, month = {March}, number = 6, pages = 1034, timestamp = {2024-04-22T07:03:17.000+0200}, title = {SST Forecast Skills Based on Hybrid Deep Learning Models: With Applications to the South China Sea.}, url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#ZhangHWLSLCWDJ24}, volume = 16, year = 2024 }