Evaluating numerical and free-drift forecasts of sea ice drift during a Southern Ocean research expedition: An operational perspective. Issue 3 (2nd September 2022)

• Record Type: Journal Article
• Authors: de Vos, Marc; Barnes, Michael; Biddle, Louise C.; Swart, Sebastiaan; Ramjukadh, Carla-Louise; Vichi, Marcello
• Is Part Of: Journal of operational oceanography. Volume 15:Issue 3(2022)
• Page Start: 187
• Page End: 203
• Publication Date: 2022-09-02
• Subjects: Oceanography -- Periodicals; Climatology -- Periodicals; Periodicals; 551.4605
• DOI: 10.1080/1755876X.2021.1883293
• Languages: English
• ISSNs: 1755-876X

Abstract

ABSTRACT: Antarctic sea ice is prevalently seen as a major player in the climate system, but it is also an important factor in polar maritime safety. Remote sensing and forecasting of Southern Ocean sea ice at time scales suitable for navigation and research planning remain challenging. In this study, numerical sea ice drift forecasts are assessed from the perspective of informing shipping operations. A series of tests is performed to ascertain whether an operational global ocean and sea ice model and a simple free-drift model can provide accurate drift estimates over short lead times. Both approaches are evaluated against ice drift measurements from buoys deployed during two research cruises in the Southern Ocean marginal ice zone during winter and spring. The numerical forecast model was able to forecast sea ice trajectories over 24 h with an average position error of 16.6 km during winter and 9.2 km during spring. The simpler free-drift model, using empirically optimised wind scaling, returned an average position error of 15.9 and 9.3 km during winter and spring respectively. Model skill for both the dynamical and free-drift models is lower in winter than in spring. Free-drift model skill appears linked with sea ice consolidation, which may assist in determining when and where this approach is fit for purpose. Lingering uncertainties regarding the rheological representation of sea ice in the dynamical model and the quality of the wind and ocean forcing remain, potentially affecting model skill over tactical navigation time frames.