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Toward the prediction of Arctic sea ice under global warming : Stochastic dynamical system approach

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If you have a question about this talk, please contact Dr Dan Jones .

If external to BAS, please email the organiser in advance to gain access to the building

Arctic sea ice is one of the most sensitive components in global climate system. The impact of global warming is expected to be more intensified in Arctic sea ice with the vigorous positive feedback, ice albedo feedback. Thus the prediction of the future status of Arctic sea ice under global warming is requested strongly in our society even with the difficulty given by a myriad of unspecified physical processes in Arctic area. Here, we would like to introduce a way of constructing a stochastic Arctic sea ice model, which is expected to be used practically. Various issues regarding the construction of the stochastic model will be presented.

This talk is part of the British Antarctic Survey - Polar Oceans seminar series series.

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Toward the prediction of Arctic sea ice under global warming : Stochastic dynamical system approach

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⚠️ Important: If external to BAS, please email the organiser in advance to gain access to the building

👤 Speaker: Woosok Moon (University of Cambridge) 🔗 Website
📅 Date & Time: Wednesday 12 March 2014, 11:00 - 12:00
📍 Venue: British Antarctic Survey, Room 307

Questions? Contact Dr Dan Jones

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Series This talk is part of the British Antarctic Survey - Polar Oceans seminar series series.

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Toward the prediction of Arctic sea ice under global warming : Stochastic dynamical system approach

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Toward the prediction of Arctic sea ice under global warming : Stochastic dynamical system approach

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Toward the prediction of Arctic sea ice under global warming : Stochastic dynamical system approach

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Toward the prediction of Arctic sea ice under global warming : Stochastic dynamical system approach

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