CRTI Project # 02-0093RDCRTI Project # 02-0093RD
GENERAL OVERVIEW OF MSC’s GENERAL OVERVIEW OF MSC’s CONTRIBUTION to CRTI CONTRIBUTION to CRTI
COMPONENT 2COMPONENT 2
SStéphanetéphane Bélair Bélair
Jocelyn MailhotJocelyn Mailhot
MAIN OBJECTIVES of OUR ACTIVITIES
• Improve the representation of urban processes in meso--scale and micro--scale atmospheric models in order to:
• Improve forecasting of the urban environment at the meso--scale
• Produce realistic representation of dispersion on the mesoscale
• Provide better initial and lateral boundary conditions for high-resolution dispersion models
MSC’s « URBANIZED » FORECASTING SYSTEM (under construction)
« Urbanized »Regional-15 kmGEM-variable
« Urbanized »Meso--scale 2.5 km
GEM-LAM
« Urbanized »Micro--scale 200 m
MC2-LAM
High-resMicroscale (CFD)
Partners
IC + LBC
IC + LBC
IC + LBC
Operational
Prototype
Built areas are parameterized, i.e., we need
• TEB• Urban surface
databases• Anthropogenic
heat sources
Built areas are resolved
1D (vertical) turbulence is sufficient
3D turbulence is required
Off-line surface modeling
At 100-200 m
• TEB• Urban surfaces
interfacestill TBD
LIST of PROJECTS
Name Description People
TEB Include representation of urban surfaces in MSC’s modeling and forecasting systems and study the impact on the boundary layer
Lemonsu (RPN), Bélair (RPN), Tong (CMC-Devel.)
Surface fields Develop a methodology to generate urban surface databases that are required to run TEB
Leroux (CMC-Emer), Lemonsu (RPN), Bélair (RPN), Trudel (CMC-Emer), Gauthier (CMC-Emer)
Anthropogenic heat sources
Create a database that will provide anthropogenic heat fluxes over every major city of Canada (and eventually North America)
Benbouta (CMC-Emer), Bélair (RPN), Hogue (CMC)
3D Turbulence Include a 3D-turbulence scheme in MSC’s atmospheric models (required to run these models at microscale) and evaluate the impact on atmospheric mixing
Pelletier (RPN), Mailhot (RPN)
Meso--scale and off-line modeling
Transfer the new technologies developed in this project to CMC’s forecasting systems (2.5 km and high-res off-line surface system)
Tong (CMC-Devel.), Bélair (RPN), Lemonsu (RPN)
Regional NWP Transfer the urban surface technology developed in CRTI to CMC’s 15-km operational regional weather forecasting system
Pavlovic (CMC-AQ), Bélair (RPN), Mailhot (RPN)
Micro-scale modeling (CFD)
Develop MSC’s capabilities for building scale modeling Pellerin (RPN), Pelletier (RPN), Mailhot (RPN)
MUSE exps Field experiments in Montreal to provide observational data for the verification of TEB in North American winter weather conditions
Mailhot (RPN), Bélair (RPN), Lemonsu (RPN), Chagnon (CMC-E), Jean (CMC), Benjamin (Que. Region), Morneau (Que. Region) + more
WORK BREAKDOWN STRUCTURE
Meso- and off-line
Regional NWP
High-level management (Jean, Hogue) Scientific
management (Mailhot, Bélair)
MODELING DATABASES TRANSFERSMEASUREMENTS and
OBSERVATIONS
TEB
3D-turbulence
CFD
Surface fields
Anthropo. heat sources
MUSE
MUSE-II
PRESENTATIONS to FOLLOW
1. TEB (Lemonsu)
2. Urban surface databases (Leroux)
3. Anthropogenic heat sources (Benbouta)
4. 3D Turbulence (Pelletier)
5. Experimental CFD modeling at RPN (Pellerin)
6. MUSE (Chagnon)
ISSUES
• General approach for the whole country (implications for the
construction of the databases)
• GEM at 15 and 2.5 km, but MC2 at 200 m (because 3D turbulence in MC2 – soon in GEM after introduction of a more appropriate vertical
discretization)
• Split of anthropogenic heat fluxes for TEB (vehicles, industries, heating)
• Finalize validation of 3D turbulence scheme
• Snow in TEB
• Urban surface databases: satellite or vector data, or hybrid?
• Availability of complete datasets for validation (e.g., OKC)
SCHEDULE
2005 2006 2007NO
W
Case study OKC: TEB evaluation
MUSE case studySnow in TEB
Case study OKC: urban PBL
CFD
EN
D
Surface fields
Anthropogenic heat sources
CRTI prototype
Transfer 2.5 km
Transfer 15 km
Off-line system