PDF – Security and Resiliency of Prairie Industrial Water Supplies (SK-007)
Preferred Disciplines: Earth or Atmospheric Science, Environmental Engineering (Post-Doc)
Project length: 2 years (6 units)
Desired start date: As soon as possible
Location: Regina, SK
No. of Positions: 1
Preferences: Postdoc with Dr. David Sauchyn at University of Regina
About Company: TBA
The research problem addressed by the proposed project is the security and resiliency of prairie industrial water supplies in a changing climate. This problem is significant because water-consumptive industries in the Prairie Provinces are a major contributor to the national economy, but they depend on secure and reliable water supplies in a region characterized by a permanent water deficit (in average years). Given the potential for prolonged water deficits in a future warmer climate, there is no guarantee that industrial water allocations will have sufficient priority to be honoured.
The general objective of the proposed project is to provide scientific support for planned adaptation to climate change in the Prairie Provinces’ energy and mining industries that depend on the availability of secure water supplies.
For more info or to apply to this applied research position, please
|Sub-objectives:||• Compiling existing information and generating new data on the reliability and variability of surface water supplies,
• Translating this new knowledge into terms and products that are relevant and applicable to adaptation planning in the energy and mining sectors, and
• In collaboration with technical experts from partner agency, apply the new translated knowledge to an assessment of climate risks to energy and mining companies.
|Methodology:||• Extract and process RCM output for a suite of hydroclimatic variables
• Compare weekly, seasonal and annual runoff from an ensemble of RCMs to measured runoff and to streamflow reconstructed from tree rings
• Evaluate RCM experiments in terms of how well they replicate not only mean hydroclimate of the studied watersheds but also climate extremes
• Deliver a range of plausible scenarios of hydroclimatic change and variability, and express uncertainty and probability
|Expertise and Skills Needed:||• A recent PhD in earth or atmospheric sciences or environmental engineering
• Experience with the statistical (time series and spectral) analysis of climate data
• Ability to work independently
• Matlab or R programming experience
• Familiarity with regional climate models, earth system models and land surface schemes
• Excellent communication skills and ability to work within a collaborative, interdisciplinary team