Prediction of monthly Arctic sea ice concentration using satellite and reanalysis data based on convolutional neural networks
Young Jun Kim(Kyung Hee University), Jungho Im(Ulsan National Institute of Science and Technology), Sanggyun Lee(Centre for Polar Observation and Modelling), Daehyeon Han(Ulsan National Institute of Science and Technology), Hyun‐Cheol Kim(Korea Polar Research Institute)
Cited by 2
Related Papers
NEMURO—a lower trophic level model for the North Pacific marine ecosystem
|Ecological Modelling|2006|370
Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network
|Remote Sensing|2017|183
Seasonal and interannual variability of sea surface chlorophyll a concentration in the Japan/East Sea (JES)
|Progress In Oceanography|2004|158
Significant contribution of dissolved organic matter to seawater alkalinity
|Geophysical Research Letters|2009|129
Seasonal and summer interannual variations of SeaWiFS chlorophyll a in the Yellow Sea and East China Sea
|Progress In Oceanography|2012|126