Reference number : GC-2017-Q1-01548, amendment number : , agreement type : G, recipient legal name : Stull, Roland (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : Earth&rsquo;s climate system is changing. For Canadians, a changing climate provides an opportunity for economic growth to serve the needs of our growing population. Our research focuses on enhancing the economy through the use of computerized weather prediction. 
 Computerized forecasts from Numerical Weather Prediction (NWP) models are replacing human forecasters in more and more forecast applications. At UBC we have the tools needed for NWP research: high­-performance-computing clusters, NWP programs, and associated expertise. Every day we run an ensemble of 62 NWP model members in real time that we combine into several short­-range (1 to 5 day) and medium-range (6 to 30 day) forecasts. These forecasts allow us to robustly test our research against natural daily weather variability, rather than focusing on unrepresentative ideal case studies. We also use these advanced tools to educate the next generation of scientists. 
 Our broad research program focuses on advancing short- and medium-­range NWP for a growing Canadian economy. This includes improving weather-forecast methods for transportation (highway, rail, shipping), weather­-related disasters (floods, debris flows, avalanches, windstorms, forest-fire smoke), and clean energy (hydro, wind, solar, biomass) over complex terrain such as in Western Canada. 
 We propose to: 1) devise new dynamical cores for NWP models; 2) design new NWP planetary-boundary-layer parameterizations for mountainous terrain; 3) reduce forecast errors at key locations in the mountains by creating new post­-processing methods to correct errors associated with NWP spatial resolution; 4) optimize NWP ensemble size using cloud-computing platforms; 5) improve ensemble forecasts of forest-­fire smoke as affects air quality; 6) analyze recent weather-related disasters to improve understanding and prediction; and 7) create a water model for resource management and flood forecasting. 
 Significance: As population increases, more Canadians will be: 
1) competing for energy and water resources. Our NWP research will enable utility companies to better integrate variable clean-energy sources into the power grid, and to provide clean water. 
2) living in marginal geographic regions such as floodplains, coastal areas, and steep mountain slopes. Our work to improve prediction of weather­-related disasters in the face of climate change will empower Canadians to be survivors, and will allow local governments to provide better zoning and emergency­-preparedness plans. 
3) producing air pollution as a byproduct of life and commerce. Our work on improving air-­quality forecasting will support the health of Canadians while allowing industries to thrive., program purpose french : Earth&rsquo;s climate system is changing. For Canadians, a changing climate provides an opportunity for economic growth to serve the needs of our growing population. Our research focuses on enhancing the economy through the use of computerized weather prediction. 
 Computerized forecasts from Numerical Weather Prediction (NWP) models are replacing human forecasters in more and more forecast applications. At UBC we have the tools needed for NWP research: high­-performance-computing clusters, NWP programs, and associated expertise. Every day we run an ensemble of 62 NWP model members in real time that we combine into several short­-range (1 to 5 day) and medium-range (6 to 30 day) forecasts. These forecasts allow us to robustly test our research against natural daily weather variability, rather than focusing on unrepresentative ideal case studies. We also use these advanced tools to educate the next generation of scientists. 
 Our broad research program focuses on advancing short- and medium-­range NWP for a growing Canadian economy. This includes improving weather-forecast methods for transportation (highway, rail, shipping), weather­-related disasters (floods, debris flows, avalanches, windstorms, forest-fire smoke), and clean energy (hydro, wind, solar, biomass) over complex terrain such as in Western Canada. 
 We propose to: 1) devise new dynamical cores for NWP models; 2) design new NWP planetary-boundary-layer parameterizations for mountainous terrain; 3) reduce forecast errors at key locations in the mountains by creating new post­-processing methods to correct errors associated with NWP spatial resolution; 4) optimize NWP ensemble size using cloud-computing platforms; 5) improve ensemble forecasts of forest-­fire smoke as affects air quality; 6) analyze recent weather-related disasters to improve understanding and prediction; and 7) create a water model for resource management and flood forecasting. 
 Significance: As population increases, more Canadians will be: 
1) competing for energy and water resources. Our NWP research will enable utility companies to better integrate variable clean-energy sources into the power grid, and to provide clean water. 
2) living in marginal geographic regions such as floodplains, coastal areas, and steep mountain slopes. Our work to improve prediction of weather­-related disasters in the face of climate change will empower Canadians to be survivors, and will allow local governments to provide better zoning and emergency­-preparedness plans. 
3) producing air pollution as a byproduct of life and commerce. Our work on improving air-­quality forecasting will support the health of Canadians while allowing industries to thrive., agreement title english : Numerical Weather Prediction Advances for a Growing Canadian Economy, agreement title french : Numerical Weather Prediction Advances for a Growing Canadian Economy, agreement number : RGPIN, agreement value : 160000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada