Climate Modelling and Scenarios in Canada. Elaine Barrow Principal Investigator (Science) Canadian Climate Impacts Scenarios (CCIS) Project

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1 Climate Modelling and Scenarios in Canada Elaine Barrow Principal Investigator (Science) Canadian Climate Impacts Scenarios (CCIS) Project

2 Canadian Centre for Climate Modelling and Analysis (CCCma) Canadian Climate Impacts Scenarios (CCIS) Project Regional Climate Modelling Laboratory, Université du Québec à Montréal

3 CGCM1 Atmosphere - AGCM2 thermo IS92a experiments: 3 GHG+aerosols 1 GHG only T32 L10, lid at 10 hpa 96x48 (~3.75 degree) grid moist convective adjustment, diagnostic clouds Land 1-layer bucket type Ocean - MOM1.1 L29 192x96 (~1.875 degree) grid extensively modified Sea Ice thermodynamic Flux adjusted - yes

4 CGCM2 Atmosphere - AGCM2 Land - bucket Ocean - MOM1.1 Gent-McWilliams isopycnal mixing scheme Sea Ice dynamic (Flato/Hibler) Flux adjusted - yes IS92a experiments: 3 GHG+aerosols SRES: 3 A2, 3B2

5 CGCM3 Atmosphere - AGCM3 T47 L31, lid at 1 hpa many improvements to physics: radiation, clouds, boundary layer deep convection scheme multiple greenhouse gases variable velocity river routing Land CLASS multi-layer land surface Ocean - NCOM 1.3 L /1.4 degree grid additional physics options Sea-ice dynamic (Flato/Hibler)

6 New Atmospheric model : AGCM4 Nearing completion New features include: Prognostic layer clouds Deep and shallow convection schemes CKD radiation scheme Radiatively inhomogeneous clouds Coupled bulk sulphur cycle Dust and sea-salt aerosols Planned development: Improved treatments of boundary layer, surface albedo, etc. Methane chemistry Integrate a treatment of size segregated aerosols Anisotropic orographic GWD scheme

7 CGCM4: Planned coupled model Characteristics: Atmosphere AGCM4 (T47 or T63, L35) Ocean NCOM1.3 Horizontal resolution <1 o, enhanced in tropics Greater vertical resolution Improved boundary layer, mixing and transport Improved sea-ice and land-ice Coupled terrestrial, oceanic, and atmospheric carbon cycle components New, more flexible coupler Development activities focused on: Carbon cycle Ocean Clouds and aerosols Much of this is collaborative with the Canadian university community

8 UQÀM: CRCM Network ( ) Sponsors: CFCAS, Ouranos, NSERC and US DoE Co-Principal Investigators: Laprise René (UQÀM) Caya Daniel (Ouranos/UQÀM) Main specialisation: Num. methods, climate modelling Regional climate modelling Co-Investigators: Blanchet Jean-Pierre (UQÀM) Aerosols, Radiation, Arctic climate Boer George (CCCma/U. Vic.) Climate Diagnostic, O-A coupling Côté Jean (RPN/UQÀM) Numerical modelling Girard Éric (UQÀM) Arctic and Clouds microphysics Larocque Marie (UQÀM) Hydrological processes McFarlane Norman (CCCma/U.Vic.) Physical param. in climate models Saucier François (IML/UQÀR) Regional Ocean Modelling Zwiers Francis (CCCma/U.Vic.) Climate and Statistical Analysis

9 CRCM Network Phase III ( ) 1. Validation and participation into international MIPs 1. Scale-selective diagnostics and budgets 2. Multi-decadal Pan-Canadian Experiment 3. SMIP-2 (Seasonal Model Inter-comparison Project) 4. AMIP-II (Atmospheric MIP) 5. ARC-MIP (Arctic MIP) 6. PIRCS (Project to Inter-compare Regional Climate Simulations) 2. Investigation of nested approach to downscaling climate 1. Big-Brother Experiment (encouraged by WGNE/WCRP) 2. Nesting of large scales over entire regional domain 3. Sensitivity of Lateral and Surface Boundary Conditions 3. Development and improvements in the CRCM 1. Coupling of CRCM with coastal ocean model 2. Implementation of river routing scheme

10 The Canadian RCM Phase 3: Horiz: 193 x 45 km Vert: 50 levels up to 29 km 3 2 1

11 CRU 1978 Winter temperature NCEP-driven CRCM CRCM NCEP

12 CRU 1978 Winter precipitation NCEP-driven CRCM CRCM NCEP

13 CRCM: Current Status Continued development of pan-canadian CRCM Definition of climate change experiments in conjunction with: Consortium sur la climatologie régional et l'adaptation aux changements climatiques

14 Climate Change Scenarios Provision of climate change scenarios constructed in accordance with IPCC guidelines; visualisation and download

15 Visualisation and Download

16 Related Information

17 LARS-WG: stochastic weather generator Access to SDSM and predictor variables for North America (soon global) Downscaling Tools

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