Programme OS3c Climate change: detecting
trends, projecting future abstract 541
Sensitivity of hydrological systems to GCM-based climate scenarios in
northern Manitoba (Canada) boreal forest region
Author(s): Woonsup Choi, Adam Moore, Kristina Koenig, Peter
Rasmussen
Contact information for Woonsup
Choi
Department of Civil Engineering
University of Manitoba
Winnipeg, Manitoba
R3T 5V6
Canada
Phone: +1 204 297 4042
Fax: + 204 474 7513
Email: supchoi@yahoo.com
Keyword(s): climate change, hydrological modeling, statistical downscaling, runoff
Article:
Poster:
Session: OS3c Climate change: detecting
trends, projecting future
Abstract This study
investigated how river basins respond to climate scenarios generated from different GCMs (HadCM3 and CGCM)
in the northern Manitoba boreal forest region focusing on low flow statistics. The SLURP hydrological model was
applied to the Taylor and Burntwood River basins using climate scenarios generated with the output from the GCMs
under A2 and B2 SRES scenarios. The GCM output was downscaled using the delta method and the Statistical
DownScaling Model (SDSM). The GCMs consistently forecast wetter and warmer climate with the emission
scenarios. Warming is the most prominent during winter, especially with CGCM3 under A2 scenario. Precipitation
projection reveals more variability between models and scenarios than temperature projection, but a general trend is
that large increases are expected during winter and spring and only small fluctuations during summer. Such changes in
climate are projected to lead to an overall increase in runoff in the second half of the 21st century. The increase is the
most remarkable in April and May and the least so in winter and summer months. It is also projected that there will
be much fewer days with extremely low flows than there are currently. In spite of different magnitudes, changing
trends are consistent throughout the models and scenarios. The results indicate that the communities in the region
need to be better prepared for spring floods while the increased runoff may contribute to more hydroelectric power
generation.