Latest News and Updates

May 12, 2022

In a podcast with Canadaland's Sarah Lawrynuik, PARC Director, Dr. David Sauchyn, discusses the recent plight of Manitoba's 2021 drought juxtaposed with heavy flooding in the southern and central parts of the province this year - a term called "whiplash". 


Check out the link below to learn why the Prairies are uniquely situated for the world's most variable climate, the role this variability plays in water resources management, and the challenges brought upon industries and biodiversity.

April, 2022

PARC’s collaboration with the community of Île-à-la-Crosse in northwestern Saskatchewan featured in CBC Podcast, The Morning Edition, among others!


Catch the latest updates HERE and at the links below.

6 April 2022

The Morning Edition - Saskatchewan with Stefani Langenegger


6 April 2022

Photo credit: Jeremy Williams / River Voices Productions


24 February 2022

Photo credit: Jeremy Williams / River Voices Productions

April 6, 2022

In response to user needs, PARC implements second website to highlight applications of unique paleoclimate records and high-resolution regional climate modeling in the Prairie provinces.


This is a gateway to better explain the what, where, why and how of our data:

  1. the kinds of data we are producing and working with;
  2. where we are applying these data;
  3. how we are utilizing these data; and
  4. why we are doing this.

The who has always been the Canadian climate user community, which includes both public and private partners interested in identifying and / or evaluating risks associated with climate change.


The new site also provides us an opportunity to expand the services we can offer. In the coming months we will begin building the Climate Risk Indicator Atlas of the Prairies, which will provide an interactive gateway to regionally relevant data and tools for physical risk assessment. This resource is intended to provide sector specific indicators of climate risk to help guide evaluations of risk in the face of uncertainty.


Many changes and updates will take place to the site on an ongoing bases, including new case studies to be featured and interactive features of our data. Stay tuned for these!


The broader vision and mission of PARC - to provide scientific research that delivers practical and regionally relevant climate data, information and knowledge in support of adaptation to climate variability and change - can be found expanded upon at There you will also find more general information about our 21-year history, rich archive of past projects and resources, and our Tree-ring Lab.

April 6, 2022

The Uncertainty Primer will be your technical guide (document) to confronting the natural uncertainty in climate projections and incorporating this uncertainty into decision making. In addition to the longer technical guide, a clear-language brief of uncertainty in climate modeling will soon be made available on the website.

ETA: late-June.


Numerical modeling of the earth’s climate is the only reliable way to determine the amount of global warming we can expect. The least certain projections are of precipitation and related variables at a regional scale, especially in the middle latitudes and continental interiors, where natural variability tends to obscures trends in climate variables. Thus, the Prairie Provinces present unique challenges for detecting and communicating climate change, and managing the uncertainty. Using models to project future climate requires estimates of future concentrations of greenhouse gases based on the analysis of the social, political and economic factors that determine emissions and land cover change. Models, emission scenarios and internal climate variability cause varying amounts of uncertainty depending on the size and location of the region, the climate variable, and the time horizon. At a global scale, models and scenarios account for most of the uncertainty. Internal climatic variability is most apparent at the regional scale and in the near-term (seasons to decades). Recognizing, understanding and accounting for uncertainty informs robust adaptation decision-making. Conversely, risks can be underestimated when uncertainties are overlooked, undermining adaptation efforts and increasing the likelihood of maladaptation.