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Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations

Petty, AA; Schroder, D; Stroeve, JC; Markus, T; Miller, J; Kurtz, NT; Feltham, DL; (2017) Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations. Earth’s Future , 5 (2) pp. 254-263. 10.1002/2016EF000495. Green open access

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Abstract

In this study, we demonstrate skillful spring forecasts of detrended September Arctic sea ice extent using passive microwave observations of sea ice concentration (SIC) and melt onset (MO). We compare these to forecasts produced using data from a sophisticated melt pond model, and find similar to higher skill values, where the forecast skill is calculated relative to linear trend persistence. The MO forecasts shows the highest skill in March–May, while the SIC forecasts produce the highest skill in June–August, especially when the forecasts are evaluated over recent years (since 2008). The high MO forecast skill in early spring appears to be driven primarily by the presence and timing of open water anomalies, while the high SIC forecast skill appears to be driven by both open water and surface melt processes. Spatial maps of detrended anomalies highlight the drivers of the different forecasts, and enable us to understand regions of predictive importance. Correctly capturing sea ice state anomalies, along with changes in open water coverage appear to be key processes in skillfully forecasting summer Arctic sea ice.

Type: Article
Title: Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/2016EF000495
Publisher version: http://dx.doi.org/10.1002/2016EF000495
Language: English
Additional information: © 2017 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made
Keywords: Science & Technology, Life Sciences & Biomedicine, Physical Sciences, Environmental Sciences, Geosciences, Multidisciplinary, Meteorology & Atmospheric Sciences, Environmental Sciences & Ecology, Geology, Minimum Extent
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/1553052
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