University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Advancing Arctic sea ice probabilistic predictive capability from sub-seasonal to decadal (S2D) using the Regional Arctic System Model

Advancing Arctic sea ice probabilistic predictive capability from sub-seasonal to decadal (S2D) using the Regional Arctic System Model

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SIPW05 - SIP Follow on: Mathematics of sea ice in the twenty-first century

The Regional Arctic System Model (RASM) has been developed and used for modeling of past to present and prediction of future Arctic climate change at time scales from weeks to decades. RASM is a fully coupled limited-domain ice-ocean-atmosphere-land hydrology model including the marine biogeochemistry. Its domain is pan-Arctic, extending far into the North Pacific (30 degN) and the North Atlantic (40 degN) oceans. The default atmosphere and land components are configured on a 50-km grid. The ocean and seaice components are configured on rotated sphere meshes with the default configuration of 1/12-deg (~9.3km) in the horizontal space and with 45 vertical layers. High-resolution model configurations include the atmosphere/land at 25-km and ice-ocean at 2.4-km grids. As a regional climate model, RASM requires boundary conditions along its lateral boundaries and in the upper atmosphere, which are derived either from global atmospheric reanalyses for simulations of the past to present or from Earth System models (ESMs) for climate projections. The hindcasts allow comparisons of RASM results with observations in place and time, which is a unique capability not available in global ESMs.

This talk is part of the Isaac Newton Institute Seminar Series series.

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