1. DRAFT Pan Am 2015 Science Plan Paul Joe, Stephane Belair, Ismail Gultepe, David Sills, Stewart Cober, Veronique Bouchet, Jean-Pierre Charland, David Hudak, Norman Donaldson, George Isaac, Tsoi Yip, Ed Becker, Victor Chung, Mark Seifert, Sara, Wong, Helen Yang, George Isaac, Dave Henderson, Bill Appleby, Health Canada

2. Outline Introduction –Mandate, Constraints –Process Themes - DRAFT Status/Next Steps

3. Introduction Warnings for venues –Main operational mandate – large crowds, security –Infrastructure & Efficiency – good place for business Legacy –Demonstrate advanced capabilities –Accelerate existing programs –Align and provide a focus for MSC Signature Projects Coordinate the dependencies Prototype key concepts Early deliverable Capacity build NL’s/Tech Transfer

4. Themes Demonstration and validation of emerging NWP and Nowcasting capabilities for urban forecasts, warnings and AQHI Demonstration, evaluation of emerging monitoring technologies for validation of emerging prediction capabilities Demonstration of use of new prediction and monitoring in the forecast/warning office of the future

5. Theme - Prediction 1 km and 250 model application and validation Town Energy Balance model Wind/wind shift nowcasting AQ model AQ nowcasting Health Index

6. Theme - Monitoring Emerging monitoring technologies to validate high resolution models in urban environment –High temporal frequency measurements –Low cost sensors –AQ supersite concept Validation of the Network of Network concepts, –Intercomparison for data quality knowledge and application –NoN Mesonet Lower tropospheric profiling technologies (thermodyanmic, air quality) –Lightning Mapping Array –Unmanned Aeronautical Vehicles –Sodat

7. 1 2 3 4 5 6 050km AiO UPDATED + 4 More AiO

8. Theme – Office of the Future Man-machine mix –When automation is good enough –When and how to intervene Ownership of the end product in a “production data base” concept –metObjects Event based warnings Deployment and use of advanced NinJo features Use of high res NWP, EPS Need to prototype complex ideas before development of operational specification and deployment! Fcster Data Cube, Production db,, Meteocode Automatic products