Journal ArticleDOI
Impacts of climate change in three hydrologic regimes in British Columbia, Canada
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In this paper, the impacts of projected climate change within three study areas in the Peace, Campbell and Columbia River watersheds of British Columbia, Canada were assessed using hydrologic modelling.Abstract:
Hydrologic modelling has been applied to assess the impacts of projected climate change within three study areas in the Peace, Campbell and Columbia River watersheds of British Columbia, Canada. These study areas include interior nival (two sites) and coastal hybrid nival–pluvial (one site) hydro-climatic regimes. Projections were based on a suite of eight global climate models driven by three emission scenarios to project potential climate responses for the 2050s period (2041–2070). Climate projections were statistically downscaled and used to drive a macro-scale hydrology model at high spatial resolution. This methodology covers a large range of potential future climates for British Columbia and explicitly addresses both emissions and global climate model uncertainty in the final hydrologic projections. Snow water equivalent is projected to decline throughout the Peace and Campbell and at low elevations within the Columbia. At high elevations within the Columbia, snow water equivalent is projected to increase with increased winter precipitation. Streamflow projections indicate timing shifts in all three watersheds, predominantly because of changes in the dynamics of snow accumulation and melt. The coastal hybrid site shows the largest sensitivity, shifting to more rainfall-dominated system by mid-century. The two interior sites are projected to retain the characteristics of a nival regime by mid-century, although streamflow-timing shifts result from increased mid-winter rainfall and snowmelt, and earlier freshet onset. Copyright © 2012 John Wiley & Sons, Ltd.read more
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Journal ArticleDOI
Mountain Weather and Climate
J. A. Taylor,Roger G. Barry +1 more
TL;DR: In this paper, the authors present a review of mountain bioclimatology and changes in mountain climates, and discuss the role of orography in the evolution of mountain climate.
Journal ArticleDOI
Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods
A. T. Werner,Alex J. Cannon +1 more
TL;DR: In this article, the ability of gridded downscaling models to replicate historical properties of climate and hydrologic extremes, as measured in terms of temporal sequencing and distributional properties (i.e., correlation tests) and test results from seven downscaled methods were used to drive the Variable Infiltration Capacity (VIC) model over the snow-dominated Peace River basin, British Columbia.
Detection and Attribution of temperature changes in the mountainous western United States.
Céline Bonfils,B. D. Santer,David W. Pierce,Govindasamy Bala,Tim P. Barnett,Hugo G. Hidalgo,Andrew W. Wood,Michael D. Dettinger,Daniel R. Cayan,Arthur A. Mirin,Tapash Das +10 more
TL;DR: In this article, a rigorous detection and attribution analysis is performed to determine the causes of the late winter/early spring changes in hydrologically relevant temperature variables over mountain ranges of the western United States.
Journal ArticleDOI
Inter-comparison of daily precipitation products for large-scale hydro-climatic applications over Canada
TL;DR: In this paper, the authors compare several gridded precipitation products over 15 terrestrial ecozones in Canada for different seasons and find that most of the datasets were relatively skilful in central Canada, however, they tended to overestimate precipitation amounts in the west and underestimate in the north and east.
Journal ArticleDOI
How Do Modeling Decisions Affect the Spread Among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations Across a Diversity of Hydroclimates
O. Chegwidden,Bart Nijssen,David E. Rupp,Jeffrey R. Arnold,Martyn P. Clark,Martyn P. Clark,Joseph Hamman,Shih-Chieh Kao,Yixin Mao,Naoki Mizukami,Philip W. Mote,Ming Pan,Erik Pytlak,Mu Xiao +13 more
TL;DR: In this paper, the authors investigate the ways in which four different steps in the modeling chain influence the spread in projected changes of different aspects of hydrology, and they show that the ways we represent the future atmosphere and land surface can have strong effects on our final predictions.
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