{"id":800467,"date":"2021-11-17T10:07:19","date_gmt":"2021-11-17T18:07:19","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=800467"},"modified":"2021-11-29T10:53:33","modified_gmt":"2021-11-29T18:53:33","slug":"research-for-industries-rfi-lecture-series-steven-k-frey","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/research-for-industries-rfi-lecture-series-steven-k-frey\/","title":{"rendered":"Research for Industries (RFI) Lecture Series: Steven K. Frey"},"content":{"rendered":"<p><strong>Physics-based groundwater \u2013 surface water modeling at continental scale<\/strong><\/p>\n<p>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\u2019s 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.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Physics-based groundwater \u2013 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\u2019s flagship software [&hellip;]<\/p>\n","protected":false},"featured_media":800470,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13563,198583],"msr-video-type":[262273],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-800467","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-data-platform-analytics","msr-research-area-ecology-environment","msr-video-type-research-for-industries-rfi-lecture-series","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/S77jdAA0PQk","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/800467"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/800467\/revisions"}],"predecessor-version":[{"id":800479,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/800467\/revisions\/800479"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/800470"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=800467"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=800467"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=800467"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=800467"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=800467"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=800467"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=800467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}