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%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
}
