Reference number : GC-2017-Q4-01522, amendment number : , agreement type : G, recipient legal name : Razavi, Seyed Saman (University of Saskatchewan), recipient country : CA, recipient province : nan, recipient city : Saskatchewan, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Proper simulation and prediction of Bow and Elbow River flows, is a critical need for The City of Calgary to_x000D_
better address challenges facing the city of 1.2 million people particularly, under a changing climate and_x000D_
landscape. This task is hampered by several challenges pertaining to uncertainties in hydrologic process_x000D_
representation, parametrization, and simulation. In this research, we aim to address these challenges and set up_x000D_
an advanced physically-based hydrological model for the Bow and Elbow River Basins ending at Calgary. For_x000D_
this purpose, we will use MESH (Modélisation Environmentale-Surface et Hydrologie) modelling system._x000D_
MESH is a Canadian distributed physically-based model that couples the Canadian Land Surface Scheme_x000D_
(CLASS) to the routing module of WATFLOOD hydrological model. It also includes an advanced hydrological_x000D_
process representation of lateral flows. This allows MESH to account for both the water and energy balance_x000D_
between land and atmosphere, which is key to adequate hydrologic process representation in this region (and_x000D_
cold regions in general), where water and energy are closely tied together through phase change. Our proposed_x000D_
methodology is critically important for streamflow prediction in the Bow and Elbow River Basins, because_x000D_
their streamflow is dominated by snowmelt and the freeze and thaw cycles have a significant impact on the_x000D_
movement of water within the soil. We will also take into account engineered water management features_x000D_
affecting the water flow such as dams, reservoirs and diversions. This work will allow us to explore and_x000D_
characterize the different sources of uncertainty in the future flows in the region, and consequently, will enable_x000D_
us to improve our hydrologic process understanding and modelling in cold regions of Canada. The modelling_x000D_
platform we will develop is expected to arm The City of Calgary with a state-of-the-art tool for improved_x000D_
prediction, risk management and disaster response, decision making around major infrastructure planning,_x000D_
water supply and demand management, and prioritization of hydro-climatic adaptation measures., program purpose french : Proper simulation and prediction of Bow and Elbow River flows, is a critical need for The City of Calgary to_x000D_
better address challenges facing the city of 1.2 million people particularly, under a changing climate and_x000D_
landscape. This task is hampered by several challenges pertaining to uncertainties in hydrologic process_x000D_
representation, parametrization, and simulation. In this research, we aim to address these challenges and set up_x000D_
an advanced physically-based hydrological model for the Bow and Elbow River Basins ending at Calgary. For_x000D_
this purpose, we will use MESH (Modélisation Environmentale-Surface et Hydrologie) modelling system._x000D_
MESH is a Canadian distributed physically-based model that couples the Canadian Land Surface Scheme_x000D_
(CLASS) to the routing module of WATFLOOD hydrological model. It also includes an advanced hydrological_x000D_
process representation of lateral flows. This allows MESH to account for both the water and energy balance_x000D_
between land and atmosphere, which is key to adequate hydrologic process representation in this region (and_x000D_
cold regions in general), where water and energy are closely tied together through phase change. Our proposed_x000D_
methodology is critically important for streamflow prediction in the Bow and Elbow River Basins, because_x000D_
their streamflow is dominated by snowmelt and the freeze and thaw cycles have a significant impact on the_x000D_
movement of water within the soil. We will also take into account engineered water management features_x000D_
affecting the water flow such as dams, reservoirs and diversions. This work will allow us to explore and_x000D_
characterize the different sources of uncertainty in the future flows in the region, and consequently, will enable_x000D_
us to improve our hydrologic process understanding and modelling in cold regions of Canada. The modelling_x000D_
platform we will develop is expected to arm The City of Calgary with a state-of-the-art tool for improved_x000D_
prediction, risk management and disaster response, decision making around major infrastructure planning,_x000D_
water supply and demand management, and prioritization of hydro-climatic adaptation measures., agreement title english : Application of an advanced hydrology-land surface model for improved prediction of Bow River Flows, agreement title french : Application of an advanced hydrology-land surface model for improved prediction of Bow River Flows, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-02-07, 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 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., 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