Heterogeneous snowpack response and snow drought occurrence across river basins of northwestern North America under 1.0°C to 4.0°C global warming
Rajesh R. Shrestha (),
Barrie R. Bonsal,
James M. Bonnyman,
Alex J. Cannon and
Mohammad Reza Najafi
Additional contact information
Rajesh R. Shrestha: University of Victoria
Barrie R. Bonsal: Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada
James M. Bonnyman: University of Victoria
Alex J. Cannon: University of Victoria
Mohammad Reza Najafi: Western University
Climatic Change, 2021, vol. 164, issue 3, No 16, 21 pages
Abstract:
Abstract Anthropogenic climate change is affecting the snowpack freshwater storage, with socioeconomic and ecological impacts. We present an assessment of maximum snow water equivalent (SWEmax) change in large river basins of the northwestern North America region using the Canadian Regional Climate Model 50-member ensemble under 1.0 °C to 4.0 °C global warming thresholds above the pre-industrial period. The projections indicate steep SWEmax decline in the warmer coastal/southern basins (i.e., Skeena, Fraser and Columbia), moderate decline in the milder interior basins (i.e., Peace, Athabasca and Saskatchewan), and either a small increase or decrease in the colder northern basins (i.e., Yukon, Peel, and Liard). A key factor for these spatial differences is the proximity of winter mean temperature to the freeze/melt threshold, with larger SWEmax declines for the basins closer to the threshold. Using the random forests machine-learning model, we find that the SWEmax change is primarily temperature controlled, especially for warmer basins. Further, under a categorical framework of below-normal SWEmax defined as snow drought (SD), we find that above-normal temperature and precipitation are the dominant conditions for SD occurrences under higher global warming thresholds. This implies a limited capacity of precipitation increase to compensate the temperature-driven snowpack decline. Additionally, the frequency and severity of SD occurrences are projected to be most extreme in the southern basins where current water demands are highest. Overall, the results of this study, including insights on snowpack changes, their climatic controls, and the framework for SD classification, are applicable for basins spanning a range of hydro-climatological regimes.
Keywords: Climatic controls; Global mean temperature change; Large ensemble RCM; Northwestern north america; Snow drought (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10584-021-02968-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:climat:v:164:y:2021:i:3:d:10.1007_s10584-021-02968-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10584
DOI: 10.1007/s10584-021-02968-7
Access Statistics for this article
Climatic Change is currently edited by M. Oppenheimer and G. Yohe
More articles in Climatic Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().