Regional GEM 15 km OPERATIONAL 48-h RUN (00 or 12 UTC) EVENT GEM-LAM 2.5 km GEM-LAM 1 km MC2-LAM 250 m T+5 T+12 T-1 T-3 36-h run 15-h run 6-h run Microscale Urban flow Models (urbanSTREAM) IC + LBC Global Variable resolution 576 x 641 Timestep = 7.5 min 58 levels (for NWP) 1D turbulence No TEB LAM 201 x 201 Timestep = 60 s 53 levels (two levels of packing near surface) 1D turbulence TEB LAM 201 x 201 Timestep = 30 s 53 levels (two levels of packing near surface) 1D turbulence TEB LAM 201 x 401 (long axis oriented along the low-level wind direction) Timestep = 10 s 53 levels (two levels of packing near surface) 3D turbulence TEB From Mesoscale to Microscale 12 UTC00 UTC12 UTC 13 UTC 1.Coupling variables 2.Surface layer coupling 3.Lateral boundary conditions m vs 1-km results

Coupling Between Mesoscale and Microscale GEM-LAM 1 km MC2-LAM 250 m T+5 T+12 T-1 T-3 15-h run 6-h run Microscale Urban flow Models (urbanSTREAM) IC + LBC Inflow boundary conditions Horizontal wind Vertical motion Turbulent Kinetic Energy Boundary-layer height

Atmospheric model z atm Vegetated canopy Urban canopy Flat surfaces The Surface in GEM The Concept FLUX AGGREGATION SURFACE = TOP of CANOPY First atmospheric level, about 50 m above the surface Surface layer

z atm +z blg z atm +(z blg -z veg ) z atm Vegetated canopyUrban canopyFlat surfaces GEM’s Surface: How it connects with the Real World Atmospheric model First atmospheric level, about 50 m above the surface Logarithmic wind profiles over each type of surfaces

GEM’s Vertical Wind Profiles vs Observations at Station ANL (IOP9) RADAR SODAR GEM

GEM’s Vertical Wind Profiles vs Observations at Station ANL (IOP9) RADAR SODAR GEM NATURAL CANYON

IOP9 (Night): Daytime turbulence 26 July UTC26 July UTC More turbulent Less turbulent One hour later, the turbulence is more homogeneous

Automation and Testing We propose to run the prototype in a fully automatic manner at a regular frequency (once a week or once a month?). Specify location of event (lat, lon) Generation of computational grids (250-m grid is oriented along the mean daytime low-level winds) Production of surface fields using an interpolation from pre-processed large grids (for Montreal, Toronto, Ottawa, and Vancouver) Integration of 2.5-km, 1-km, and 250-m runs Production of outputs for microscale models (with adaptation to local surface characteristics) FULLY AUTOMATIC PROCESS

Computational Cost 200 x 200 x 53 x 2160 (36h)35 min with 200 cpus2.5 km 200 x 200 x 53 x 1800 (15h)30 min with 200 cpus1 km 200 x 400 x 53 x 2160 (6h)65 min with 400 cpus250 m Total of 110 min ni x nj x nk x nstepsWall clock timeGrid size On CMC’s current operational machine… On new computer (early 2007), 2.5 times faster, i.e., 45 min.

CRTI-1 Further Work 1.Urban cover classification –finalize vector data (MTL and VAN) –examine hybrid approach? ( satellite + vector ) –other cities (TOR, Ottawa,?) –Pre-processing of large grids for selected cities (MTL, VAN, OTT, TOR) 2.Urban anthropogenic fluxes –generation for MTL (+ validation with Quebec Region data ) –modify GEM inputs to include anthropogenic fluxes –sensitivity study on OKC: impact on mixing in boundary layer 3.Prototype –complete OKC and apply to MTL ( with MUSE ) –output adaptation for microscale modeling ( coupling issue ) –current prototype with MC2-250m ( waiting for updated GEM vertical discretization ) –start running prototype (e.g. once a week?) 4.3D turbulence –finalize code validation with LES-type runs –impact study with 250-m runs 5.MUSE –continue analyses of MUSE-1 and MUSE-2 data 6.TEB –cascading of TEB prognostic variables ( for initialization purpose ) –snow treatment 7.Publications…