Watch this video to hear Dr. Saman Razavi walk you through all the research progress updates from his lab with highlghts from integrated modelling work, sensitivtiy analysis, Machine Learning, and more! 

5 July 2022 (Tuesday)      10:30 am - 12:00 pm CST

By Carl Gutwin, Saman Razavi, Leila Eamen, Ana-Pietje Du Plessis

Description: This workshop will shocase the most recent developments in the ‘Water Scenario Explorer’ tool (previously, Decision-Support-System, or DSS). Your feedback in the past has been extremely valuable in getting the tool this far, so we hope you’re able to join us to review its progress further. Please feel free to forward this invite to colleagues who might be interested.

In this workshop, you’ll hear about:

• the choice of WRM model, i.e. MODSIM, as a basis for the visualization tool to simulate water management, infrastructure and operations for the SRB with a high level of detail;
• how simulation results were further analyzed and filtered specifically for visualization;  
• how the web-based tool allows users to navigate model outputs or the ‘water scenarios’ and easily control model variables to compare results that are reflective of competing water use and demand in complex river systems such as the SRB.

A roundtable discussion and Q&A will follow on how the visualization tool can be improved as a platform to make model results more ‘user-friendly’ and accessible. All participants are invited to provide feedback and engage in a discussion on the potential for tools like this to be used for knowledge support and to inform decision-making in the Saskatchewan River Basin (SRB).

6 July 2022 (Wednesday)    10:30 am - 12: 00 pm CST

By Graham Strickert , Tim Jardine, Pouya Sabokruhie, Ana-Pietje Du Plessis

Description: This workshop will showcase collaborative research outcomes as well as visualization and modelling tools developed under IMPC in the hopes of directly addressing research questions and needs expressed by residents of the Saskatchewan River Delta, in particular, the Cumberland House communit(ies).

You’ll hear about:

• Research progress on defining acceptable/sustainable flow boundaries for wildlife and people to thrive in the SRB (based on ‘presumptive standards’ & Indicators of Hydrologic Alteration).
• Visualization and modelling tools as ‘boundary objects’ to improve communication and constructive dialogue in the multi-stakeholder SRD context.
• Using a 2D Hydraulic model to examine water and sediment availability in the Cumberland House Delta.
• The E.B. Campbell Flow Visualization tool as an online & accessible tool with easy-to-understand graphics to estimate how the reservoir water levels upstream and flows downstream are connected in the delta using simple empirical methods.

After presentations, a 45-min roundtable discussion and Q&A will follow that seeks to identify gaps in community engagement when it comes to model development and how to better address them in the future. All participants are welcome to share reflections, provide feedback and comments to help us strengthen the impact and improve effectiveness of modeling efforts in addressing community needs.

7 July 2022 (Thursday) 11:00 am - 12:00 pm CST

By Chandra Rupa Rajulapati, Simon Papalexiou (Regrets)

Description: This webinar will discuss quantile mapping to bias-correct the climate model simulations for use in hydrological modeling and risk assessment studies.

Coupled Model Intercomparison Project (CMIP) aims to understand better the historical climate and predict its future variability in response to changes in radiative forcing through a multi-model context. In hydrological analysis, climate model outputs are typically useful for risk assessment, mitigation, and planning strategies. Climate models have systematic biases or errors (mostly due to the inability of climate models to reflect natural variability in observations) with respect to observed hydrological variables. Bias-adjustment or bias-correction techniques are typically applied before using climate simulations for informed decisions.

In this workshop, you’ll hear about:

• Introduction to latest phase of CMIP, CMIP6; and how to download the data from ESGF (Earth System Grid Federation) portal.
• Biases in temperature and precipitation in CMIP6 at global scales and importance of including higher-order statistics in estimating the biases.
• Different methods of quantile mapping, including the basic technique, detrended quantile mapping, quantile delta mapping, and semi-parametric quantile mapping, along with examples.
• R-packages for quantile mapping, with case studies.
• Advantages/disadvantages of quantile mapping.

11 July 2022 (Monday)    10:00 am - 11:30 am CST

By Juliane Mai, Bryan Tolson, Mohamed Ismaiel Ahmed

Description: This webinar will showcase outcomes and milestones of the Great Lakes Runoff Intercomparison Project (GRIP) that has now reached completion of its 4th phase (Great Lakes - GL). The final study now includes 20 collaborators, from 10 institutions (Canada, US, EU) that resulted in comparison of 13 models (including Machine Learning based, basin wide, subbasin-based, and gridded models) for the Great Lakes watershed including the Ottawa River.

NEW addition: We have now extended this presentation for an additional 30 minutes to hear the most recent updates from the Nelson Model Intercomparison Project team as well!

In this webinar, you’ll hear about:

• The results and major learning outcomes of the Great Lakes Runoff Intercomparison Project for the Great Lakes watershed (GRIP-GL).
• More about the models and the common forcing dataset and routing products, calibration, validation and evaluation datasets.
• Overall combined performances (incl. models’ capability to simulate streamflow, quality of simulated actual evapotranspiration, surface soil moisture, and snow water equivalent) and more.
• Range of model outputs available for users to explore through an interactive website for visualizing results via HydroHub, as well as data/model outputs available for download via GitHub.
• ADDITION: Major updates from the Nelson Model Intercomparison team focusing on what's been achieved so far and what's next.