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 physical-based models, but these forecasts are often not accurate enough for maritime operations. In this study, we developed a statistical correction technique (also called calibration) using machine learning in order to improve the skill of short-term (up to 10 days) sea ice concentration forecasts produced by the TOPAZ4 model. This technique allows to reduce the errors from the TOPAZ4 sea ice concentration forecasts by 41 % on average.
Related subject area
Sea ice forecasts are operationally produced using physical-based models, but these forecasts are often not accurate enough for maritime operations. In this study, we developed a statistical correction technique (also called calibration) using machine learning in order to improve the skill of short-term (up to 10 days) sea ice concentration forecasts produced by the TOPAZ4 model. This technique allows to reduce the errors from the TOPAZ4 sea ice concentration forecasts by 41 % on average.