Research for Industries (RFI) Lecture Series: Steven K. Frey

Research for Industries (RFI) Lecture Series: Steven K. Frey

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Duration: 58:07
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Physics-based groundwater – surface water modeling at continental scale

Aquanty, which is a research spin off from the University of Waterloo, is at the forefront of developing state-of-the-art fully-integrated hydrologic models to better understand and predict water resource behavior and availability under both near term weather, and long term climate change scenarios. Aquanty’s flagship software platform, HydroGeoSphere (HGS), is a state-of-the-art fully-integrated GW-SW simulator that can couple with both weather forecasts and future climate scenarios in order to derive predictive insight on water resources. As part of the continental scale Canada 1 Water (C1W) project, HGS models are being built for all of Canada. C1W is a collaborative and multi-disciplinary project involving scientists who are working to assemble the requisite datasets and construct the models. As part of C1W phase 1, the HGS models will be coupled to regional climate modeling and used to produce national scale climate change risk indices pertaining to surface water, groundwater, and soil moisture resources. In this presentation we will: (i) review the concept and science behind fully-integrated GW-SW simulation, (ii) discuss the parallel scientific advancements that have paved the way for large-scale hyper resolution modeling, (iii) introduce the C1W project methodology and objectives, and (iv) discuss the integration of sensor data with hydrologic models to improve predictive capabilities.

Learn more about Research for Industry at Microsoft: https://www.microsoft.com/en-us/research/group/research-for-industry/




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Tags:
Steven K. Frey
Research for Industries
RFI Lecture Series
surface water modeling
Physics-based groundwater
Aquanty
fully-integrated hydrologic models
predict water resource behavior
climate change scenarios
HydroGeoSphere
water resources
Canada 1 Water
regional climate modeling
Microsoft Research