CMOS 2017 presentation providing a preliminary overview of the CanESM5 model, its sub-components, and upcoming applications for CMIP6 and IPCC AR6. This is a work in progress and not finalized. Please note that content is available in English only.
Describes methods for processing ensemble seasonal forecasts of Arctic sea ice that yield improved (more skillful) probabilistic forecasts vs standard methods. Based on work of PhD student Arlan Dirkson (Earth and Ocean Sciences, University of Victoria). Please note that content is available in...
Environment and Climate Change Canada
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