Calibration of sea ice drift forecasts using random forest algorithms

<p>Developing accurate sea ice drift forecasts is essential to support the decision-making of maritime end-users operating in the Arctic. In this study, two calibration methods have been developed for improving 10 d sea ice drift forecasts from an operational sea ice prediction system (TOPAZ4)...

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Bibliographic Details
Main Authors: C. Palerme, M. Müller
Format: Article
Language:English
Published: Copernicus Publications 2021-08-01
Series:The Cryosphere
Online Access:https://tc.copernicus.org/articles/15/3989/2021/tc-15-3989-2021.pdf