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The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set
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2016
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Source: Geosci. Model Dev., 9, 2255–2270, 2016
[PDF-7.01 MB]
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Journal Title:Geoscientific Model Development
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Description:Recent decades have seen significant developments in climate prediction capabilities at seasonal-to-interannual timescales. However, until recently the potential of such systems to predict Arctic climate had rarely been assessed. This paper describes a multi-model predictability experiment which was run as part of the Arctic Predictability and Prediction On Seasonal to Interannual Timescales (APPOSITE) project. The main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable. In order to achieve this, a coordinated set of idealised initial-value predictability experiments, with seven general circulation models, was conducted. This was the first model intercomparison project designed to quantify the predictability of Arctic climate on seasonal to interannual timescales. Here we present a description of the archived data set (which is available at the British Atmospheric Data Centre), an assessment of Arctic sea ice extent and volume predictability estimates in these models, and an investigation into to what extent predictability is dependent on the initial state.
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Source:Geosci. Model Dev., 9, 2255–2270, 2016
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Rights Information:CC BY
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Compliance:Submitted
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