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A linear mixed effects model for seasonal forecasts of Arctic sea ice retreat

Horvath, S; Stroeve, J; Rajagopalan, B; (2021) A linear mixed effects model for seasonal forecasts of Arctic sea ice retreat. Polar Geography , 44 (4) pp. 297-314. 10.1080/1088937x.2021.1987999. Green open access

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Abstract

With sea ice cover declining in recent years, access to open Arctic waters has become a growing interest to numerous stakeholders. Access requires time for planning and preparation, which creates the need for accurate seasonal forecasts of summer sea ice characteristics. One important attribute is the timing of sea ice retreat, of which current statistical and dynamic sea ice models struggle to make accurate seasonal forecasts. We develop a linear mixed effects model to provide forecast of sea ice retreat over five major regions of the Arctic – Beaufort, Chukchi, East Siberian, Laptev, and Kara Seas. In this, the fixed effect – i.e. the mean influence of the atmosphere on sea ice retreat – is modeled using predictors that directly influence the dynamics or thermodynamics of sea ice, and random effects are grouped regionally to capture the local-scale effects on sea ice. The model exhibits very good skill in forecast of sea ice retreat at lead times of up to half a year over these regions.

Type: Article
Title: A linear mixed effects model for seasonal forecasts of Arctic sea ice retreat
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/1088937x.2021.1987999
Publisher version: https://doi.org/10.1080/1088937X.2021.1987999
Language: English
Additional information: Copyright © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Keywords: Arctic sea ice, seasonal forecasting, statistical modeling, linear mixed effects regression, sea ice retreat
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Earth Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10136873
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