Short-Term Forecasting for Bohai Sea Ice Management Based on Machine Learning Theory

Author:

Yu Songsong1,Zhang Dayong2,Li Siyin3,Lv Qixin4,Yue Qianjin5,Li Gang6

Affiliation:

1. Doctoral Student, Faculty of Vehicle Engineering & Mechanics, Dalian Univ. of Technology, Dalian 116024, China.

2. Professor, School of Ocean Science & Technology, Dalian Univ. of Technology, Panjin 124221, China (corresponding author).

3. Undergraduate Student, School of Ocean Science & Technology, Dalian Univ. of Technology, Panjin 124221, China.

4. Postgraduate Student, School of Ocean Science & Technology, Dalian Univ. of Technology, Panjin 124221, China.

5. Professor, School of Ocean Science & Technology, Dalian Univ. of Technology, Panjin 124221, China.

6. Professor, Faculty of Vehicle Engineering & Mechanics, Dalian Univ. of Technology, Dalian 116024, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Industrial and Manufacturing Engineering,Geotechnical Engineering and Engineering Geology

Reference26 articles.

1. Severe ice conditions in the Bohai Sea, China, and mild ice conditions in the great lakes during the 2009/10 winter: Links to El Niño and a strong negative arctic oscillation;Bai X.;J. Appl. Meteorol. Climatol.,2011

2. Berg, A., L. Axell, and L. E. B. Eriksson. 2014. “Comparison between SAR derived sea ice displacement and hindcasts by the operational ocean model HIROMB.” In Proc., 2013 IEEE Int. Geoscience and Remote Sensing Symp., 3630–3633. Piscataway, NJ: IEEE.

3. Prediction of Arctic Sea ice concentration using a fully data driven deep neural network;Chi J.;Remote Sens.,2017

4. Artificial neural network for the short-term prediction of Arctic Sea ice concentration;Choi M.;Remote Sens.,2019

5. Grid size dependency of short-term sea ice forecast and its evaluation during extreme Arctic cyclone in August 2016;De Silva L. W. A.;Polar Sci.,2019

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