The Canadian Sea Ice and Snow Evolution (CanSISE) Network is a newly funded 5-year collaborative partnership between researchers from eight Canadian universities (Toronto, York, McGill, Victoria, Guelph, Waterloo, UBC, UNBC) and three partner organizations (the Climate Research Division of Environment Canada, the Canadian Ice Service, and the Pacific Climate Impacts Consortium). The CanSISE Network seeks to advance seasonal to multidecadal prediction of Arctic sea ice and snow in Canada’s sub-Arctic, alpine, and seasonally snow covered regions. It will also quantify and exploit, for prediction purposes, the role that Northern Hemisphere snow and sea ice processes play in climate variability and change. CanSISE is funded under the Natural Science and Engineering Research Council of Canada's (NSERC) Climate Change and Atmospheric Research (CCAR) program.
A new paper by CanSISE HQP Marie-Eve Gagne and colleauges titled 'Aerosol-driven increase in Arctic sea ice over the middle of the 20th Century' has been published in Geophysical Research
letters. This publication generated considerable interest and has been highlighted in several press releases (links below).
The article can be accessed at this link:
The CanSISE Year 4 Annual report is now available for download below and on our publications page.
How quickly has snow melted as the Earth’s Northern Hemisphere has warmed? Surprisingly, not all of our historical records of snow cover give the same answer. A new CanSISE publication titled 'Snow cover response to temperature in observational and climate model ensembles' is now available in Geophysical Research Letters (links below).
Several different data sets of observed surface temperature and snow cover are used to determine the sensitivity of snow cover to increases in surface temperature. This observed sensitivity is compared to that from a wide range of climate models. The sensitivity simulated by climate models is shown to be within the observational range across the Arctic, but is too weak (smaller snow reductions for a given temperature increase compared to observations) for midlatitude and alpine regions. The use of multiple observational datasets highlights an inconsistent and physically unrealistic snow cover response characterized by one of the most prominent and frequently used observational datasets, the NOAA snow cover climate record.
Full article available here:
Check out more of Lawrence’s research at
-Lawrence Mudryk, CanSISE Collaborator
An exciting new paper titled 'Twenty-five winters of unexpected Eurasian cooling unlikely due to Arctic sea-ice loss' by CanSISE Research Associate Kelly McCusker and colleagues John Fyfe and Michael Sigmond is now available from Nature Geoscience.
"Winter cooling over Eurasia has been suggested to be linked to Arctic sea-ice loss. Climate model simulations reveal no evidence for such a link and instead suggest that a persistent atmospheric circulation pattern is responsible."
Congratulations to CanSISE Collaborator Michael Sigmond and CanSISE Investigator John Fyfe and for their publication in Nature Climate Change titled "Tropical Pacific impacts on cooling North American winters".
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To a unique degree, CanSISE will bring together University and government researchers with climate modelling and observational expertise. For
more information please visit our Organization page.
CanSISE activities are organized into three theme areas, including a) seasonal to multi-decadal snow and sea-ice prediction and projection, b) attributing change in snow and sea-ice, and understanding its impacts, and c) improving our understanding of snow and sea ice processes and climate interactions. More information on CanSISE activities can be found on Our Research page.
CanSISE is currently in its second year and hiring and placements in its research projects are ongoing.