USask/Canmore Computational Hydrology at CWRA 2022: things not to miss!

USask/Canmore Computational Hydrology at CWRA 2022: things not to miss!

Jun 5, 2022 | by: Computational Hydrology Team

This year, the CWRA 2022 National Conference is taking place in Canmore and online between 5-8 June 2022. Our team will be attending in-person, and presenting on a variety of topics, such as: global hydrological modeling, community hydrological modeling, Canadian river national network, ensemble data assimilation in mountainous terrain, hydrological forecasting, and simulation of glacier flow. See a list of our presentations in the table below.

We also want to thank our colleagues for helping to organize the conference. Our colleague Martyn Clark serves as the co-chair of the CWRA2022 technical committee. Paul Whitfield and Guoqiang Tang lead the conference workshops that help attendees build knowledge and expertise on water related topics. Louise Arnal leads social events. Together with Janine Hay and Wouter Knoben, they are organizing an icebreaker on Sunday evening. Louise is also organizing a series of art-science events with Megan Leung (U. Calgary) to foster art-science conversations at the conference, such as an exclusive viewing of the Virtual Water Gallery exhibition at artsPlace, and a plein air activity led by Virtual Water Gallery artists. Wouter Knoben and Caroline Aubry-Wake organize tours that help attendee explore the beauty of Canmore and surroundings. Dave Casson leads sponsoring and exhibiting activities.

We are looking forward to hearing about recent scientific research and developments and to socializing with colleagues and friends from around the world. See you!

Date Time (MST) Presenter Type Title
Tuesday June 7 10:00 - 10:20 Kevin Shook Oral HGDM - a simple model for varying connected fractions of prairie basins
Tuesday June 7 11:20 - 11:40 Wouter Knoben Oral Community modeling: Supporting large-domain water resources modeling through an open-source model configuration toolbox
Tuesday June 7 11:40 - 12:00 Guoqiang Tang Oral Characterizing global hydrological modeling uncertainties using the Ensemble Meteorological Dataset for Planet Earth (EM-Earth)
Tuesday June 7 11:50 - 12:00 Hongli Liu Oral The anatomy and uncertainty of a Canadian National River Gauging Network
Tuesday June 7 11:50 - 11:55 Paul Whitfield Oral Low flow trends and drivers in snow-dominated mountain rivers of Alberta and British Columbia
Tuesday June 7 11:50 - 11:55 David Casson Oral Ensemble Data Assimilation Methods for Improved Snow Estimation and Streamflow Prediction in Mountainous Terrain
Wednesday June 8 9:20 - 9:40 Tricia Stadnyk Oral The isoHydRology package for Canadian hydrologists
Wednesday June 8 9:40 - 9:50 Kevin Shook Oral Tgumboot - an R package for Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit Statistics
Wednesday June 8 9:50 - 10:00 Kevin Shook Oral CSHShydRology - an R package for Canadian hydrology
Wednesday June 8 10:00 - 10:10 Paul Whitfield Oral Simple mapping of locations and results using R and the CSHShydRology package
Wednesday June 8 10:30 - 17:00 Wouter Knoben Poster CAMELS-spat: Creating a testbed for spatially distributed hydrologic modeling
Wednesday June 8 10:30 - 17:00 Janine Hay Poster Improving numerical simulations of glacier flow
Wednesday June 8 11:20 - 11:40 Paul Whitfield Oral Climate Change Related Alterations to Flood Regimes Show an Increasing Rainfall Influence
Wednesday June 8 12:30 - 17:00 Bart van Osnabrugge Poster Community modeling: integrating multiple models into an open-source model configuration toolbox to accelerate the uptake of science advances in hydrologic modeling and prediction
Wednesday June 8 12:30 - 17:00 Bart van Osnabrugge Poster CEC-HEPEX: an open invitation to join a network of hydrological forecasting enthusiasts
Wednesday June 8 14:30 - 14:50 Louise Arnal Oral A benchmark for probabilistic seasonal streamflow forecasting over North America
Wednesday June 8 14:50 - 15:00 Chris Marsh Oral SnowCast: Daily forecasts of mountain snowpack using a snowdrift-permitting model

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