BREA Final Results Forum Results from the Canadian Centre for Climate Modelling and Analysis
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1 BREA Final Results Forum Results from the Canadian Centre for Climate Modelling and Analysis Gregory M. Flato (PI), W. Merryfield, W.S. Lee, M. Sigmond, B. Pal, C. Reader Project Title: FORECASTING OCEAN AND ICE CONDITIONS FOR THE BEAUFORT SEA REGION FROM ONE TO TWELVE MONTHS IN ADVANCE
2 Objective: To provide a high-resolution forecasting system capable of predicting the detailed evolution of ocean and sea-ice conditions in the Beaufort Sea region from one to twelve months in advance. This research is aimed at supporting offshore operations, regulatory development and decision making in the Beaufort region. The research undertaken will provide enhanced regional detail in operational seasonal predictions, and will contribute directly to the development of improved operational seasonal climate prediction products that will serve operational and regulatory needs now and in the future.
3 Highlights CCCma participation in World Climate Research Program IceHFP project to study sea ice influence on seasonal forecasts Evaluation of CCCma/EC seasonal forecast skill for predicting Arctic sea ice concentration and extent Evaluation of CCCma/EC seasonal forecast skill for predicting Arctic sea ice melt/freeze dates Production of web-accessible sea ice seasonal forecast datasets for CCCma and North American Multi-Model Ensemble (NMME) data archives Evaluation of simulated 21 st Century changes in Beaufort Sea extreme wind speeds and sea ice in 14 climate models Three datasets contributed to Polar Data Catalogue:
4 Environment Canada s Operational Seasonal Forecast System
5
6 Project: evaluate CCCma/EC sea ice seasonal prediction skill for Arctic as a whole and 14 subregions Results: Some skill (exceeding persistence) seen, mainly at shorter lead times. Opportunities for improving predictions identified. Beaufort Sea ice area predictions (green) vs NASA obs (red/black), total ice area anomalies
7 Real time NMME temperature forecast*: MAM 2015 from Feb 2015 initial conditions Multi-model Individual models *global maps also available
8 NMME Phase 2 Hindcast Data at NCAR Common 1 grid NetCDF4 Available
9 Skill evaluation sea ice melt/freeze dates Previous studies focussed on area-averaged sea ice quantities Sea ice melt/freeze up dates much more relevant for stake holders (shipping, resource extraction, etc.) First study to evaluate skill in a dynamical seasonal forecasting system Climatology Ice free date ( ) (locations with melt date in any number of years)
10 Downscaling of seasonal forecasts Project underway to downscale EC/CCCma seasonal forecasts from ~300km global model resolution to ~25km using CanRCM4 regional model Domain includes most of North American Arctic, Beaufort Sea Global model: x 300 km Regional model: x 25 km Another project, at the Canadian Ice Service, is developing statistical downscaling methods to assess the ability to forecast more site-specific conditions (like dates of opening or closing of passages).
11 linear trend (m/s/year) change in % Modelled and observed Arctic wind speed changes CanESM2 rcp85 ( ) ( ) 5 ensemble members mean wind speed 99 th percentile of daily max 99.9 th percentile of daily max 30 0 Similar patterns are seen on other models and a reanalysis: -30 Jul Aug Sep Dobrynin et al. GRL 2012 EC-EARTH Arctic wind speed changes due to increased storminess? or change in circulation? or? Oct Nov Stegall & Zhang J. Clim NARR
12 CMIP5 Dataset for BREA/Polar Data Catalogue Interpolate model values to common grid in the Beaufort Sea region: Wind variables: Daily Sea ice variables: Daily Pressure: u = zonal wind v = meridional wind sfcwind = wind speed sfcwindmax = max wind speed usi = zonal ice velocity vsi = meridional ice velocity sic = ice concentration sit = ice thickness 6-hourly psl = sea level pressure 14 CMIP5 models: CanESM2 CSIRO-MK3-6-0 GFDL-ESM2G GFDL-ESM2M HadGEM2-CC historical/rcp45/rcp85 HadGEM2-ES INMCM4 IPSL-CM5A-LR IPSL-CM5A-MR MIROC5 MIROC-ESM-CHEM MPI-ESM-LR MPI-ESM-MR MRI-CGCM3
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