the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration
Roshin P. Raj
Laurent Bertino
Sebastian H. Mernild
Meethale Puthukkottu Subeesh
Nuncio Murukesh
Muthalagu Ravichandran
Related authors
Sea ice forecasts are operationally produced using physically based models, but these forecasts are often not accurate enough for maritime operations. In this study, we developed a statistical correction technique using machine learning in order to improve the skill of short-term (up to 10 d) sea ice concentration forecasts produced by the TOPAZ4 model. This technique allows for the reduction of errors from the TOPAZ4 sea ice concentration forecasts by 41 % on average.
Related subject area
Sea ice forecasts are operationally produced using physically based models, but these forecasts are often not accurate enough for maritime operations. In this study, we developed a statistical correction technique using machine learning in order to improve the skill of short-term (up to 10 d) sea ice concentration forecasts produced by the TOPAZ4 model. This technique allows for the reduction of errors from the TOPAZ4 sea ice concentration forecasts by 41 % on average.