Modeling the Potential Impacts of Climate Change on a Small Watershed in Labrador, Canada

Hydroelectric power producers are strongly dependent on the climate to deliver the fuel necessary to generate electricity. This fuel source is watershed runoff, which is manifested as the balance between components of the climate system, primarily precipitation and evapotranspiration. Climate change threatens to alter global hydrological regimes and impacts need to be assessed to determine production vulnerabilities and opportunities. In this paper, dynamically downscaled regional climate models from the North American Regional Climate Change Assessment Program (NARCCAP) are combined with statistical bias correction techniques to generate 30-year time series of temperature and precipitation for a base period (1980s) and a future period (2050s). These time series are transformed into streamflow using the WATFLOOD hydrological model that has been calibrated for a sub-basin of the Churchill River. Results are consistent with IPCC results and show increasing mean annual streamflow of approximately 9% between the base and future periods with larger increases in winter runoff and little or no change during late summer and fall. Inter-model comparison and probabilistic methods are used to provide further insight into simulation results.

[1]  K. Trenberth,et al.  The changing character of precipitation , 2003 .

[2]  E. Wood,et al.  The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting , 2009 .

[3]  Robert L. Wilby,et al.  NON‐STATIONARITY IN DAILY PRECIPITATION SERIES: IMPLICATIONS FOR GCM DOWN‐SCALING USING ATMOSPHERIC CIRCULATION INDICES , 1997 .

[4]  R. Laprise,et al.  Canadian RCM projected climate‐change signal and its sensitivity to model errors , 2006 .

[5]  Donald H. Burn,et al.  A Case Study of Climate Change Impacts on Navigation on the Mackenzie River , 2006 .

[6]  B. Bates,et al.  Climate change and water: technical paper of the intergovernmental panel on climate change , 2008 .

[7]  M. Webb,et al.  Quantification of modelling uncertainties in a large ensemble of climate change simulations , 2004, Nature.

[8]  J. Christensen,et al.  A summary of the PRUDENCE model projections of changes in European climate by the end of this century , 2007 .

[9]  Christopher Moseley,et al.  Climate model bias correction and the role of timescales , 2010 .

[10]  J. Christensen,et al.  On the need for bias correction of regional climate change projections of temperature and precipitation , 2008 .

[11]  Ivan Muzik,et al.  Sensitivity of Hydrologic Systems to Climate Change , 2001 .

[12]  Kevin E. Trenberth,et al.  Atmospheric Moisture Residence Times and Cycling: Implications for Rainfall Rates and Climate Change , 1998 .

[13]  Eric D. Soulis,et al.  Validation of the Hydrological Processes in a Hydrological Model , 2006 .

[14]  Richard G. Jones,et al.  A Regional Climate Change Assessment Program for North America , 2009 .

[15]  Yves Filion,et al.  Climate Change: Implications for Canadian Water Resources and Hydropower Production , 2000 .

[16]  Regional climate model simulations as input for hydrological applications: evaluation of uncertainties , 2005 .

[17]  A. Gobiet,et al.  Empirical‐statistical downscaling and error correction of daily precipitation from regional climate models , 2011 .

[18]  D. Lettenmaier,et al.  The Effects of Climate Change on the Hydrology and Water Resources of the Colorado River Basin , 2004 .

[19]  P. Coulibaly,et al.  Validation of hydrological models for climate scenario simulation: the case of Saguenay watershed in Quebec , 2007 .

[20]  H. Feddersen,et al.  A method for statistical downscaling of seasonal ensemble predictions , 2005 .

[21]  Éva Mekis,et al.  Rehabilitation and Analysis of Canadian Daily Precipitation Time Series , 1999, Data, Models and Analysis.

[22]  W. P. A. van Deursen,et al.  Assessing future discharge of the river Rhine using regional climate model integrations and a hydrological model , 2003 .

[23]  Alain Pietroniro,et al.  Grouped Response Units for Distributed Hydrologic Modeling , 1993 .

[24]  RahmanMasihur,et al.  Hydrologic modelling to assess the climate change impacts in a Southern Ontario watershed , 2012 .

[25]  D. Maraun,et al.  Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user , 2010 .

[26]  James Hansen,et al.  Translating climate forecasts into agricultural terms: advances and challenges , 2006 .

[27]  Robert Leconte,et al.  Adaptation to Climate Change in the Management of a Canadian Water-Resources System Exploited for Hydropower , 2009 .

[28]  C. Piani,et al.  Statistical bias correction for daily precipitation in regional climate models over Europe , 2010 .

[29]  B. Bates,et al.  Climate change and water. , 2008 .

[30]  R. Leconte,et al.  Uncertainty of the impact of climate change on the hydrology of a nordic watershed , 2008 .

[31]  P. Ball Adapting to climate change , 1999, Nature.

[32]  N. Kouwen,et al.  Proving WATFLOOD: modelling the nonlinearities of hydrologic response to storm intensities , 2001 .

[33]  P. Coulibaly,et al.  Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models , 2005 .

[34]  R. Leander,et al.  Resampling of regional climate model output for the simulation of extreme river flows , 2007 .

[35]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[36]  Mike Muller,et al.  Adapting to climate change , 2007 .