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  • Source Publication: Journal of Hydrometeorology, 15, 2, 844‐860, doi: 10.1175/JHM‐D‐13‐030.1 Authors: Shrestha, R.R., M.A. Schnorbus, A.T. Werner and F.W. Zwiers Publication Date: Apr 2014

    This study analyzed potential hydroclimatic change in the Peace River basin in the province of British Columbia, Canada, based on two structurally different approaches: (i) statistically downscaled global climate models (GCMs) using the bias-corrected spatial disaggregation (BCSD) and (ii) dynamically downscaled GCM with the Canadian Regional Climate Model (CRCM). Additionally, simulated hydrologic changes from the GCM–BCSD-driven Variable Infiltration Capacity (VIC) model were compared to the CRCM integrated Canadian Land Surface Scheme (CLASS) output. The results show good agreements of the GCM–BCSD–VIC simulated precipitation, temperature, and runoff with observations, while the CRCM-simulated results differ substantially from observations. Nevertheless, differences (between the 2050s and 1970s) obtained from the two approaches are qualitatively similar for precipitation and temperature, although they are substantially different for snow water equivalent and runoff. The results obtained from the five Coupled Global Climate Model, version 3, (CGCM3)-driven CRCM runs are similar, suggesting that the multidecadal internal variability is not a large source of uncertainty for the Peace River basin. Overall, the GCM–BCSD–VIC approach, for now, remains the preferred approach for projecting basin-scale future hydrologic changes, provided that it explicitly accounts for the biases and includes plausible snow and runoff parameterizations. However, even with the GCM–BCSD–VIC approach, projections differ considerably depending on which of an ensemble of eight GCMs is used. Such differences reemphasize the uncertain nature of future hydroclimatic projections.

  • Authors: Nodelman, J. and co-authors [PCIC is a contributing author] Publication Date: Mar 2014
  • Source Publication: Hydrological Processes, 28, 14, 4294–4310, doi:10.1002/hyp.9997. Authors: Rajesh R. Shrestha, Daniel L. Peters and Markus A. Schnorbus Publication Date: Mar 2014

    It is a common practice to employ hydrologic models for assessing alterations to streamflow as a result of anthropogenically driven changes, such as riverine, land use, and climate change. However, the ability of the models to replicate different components of the hydrograph simultaneously is not clear. Hence, this study evaluates the ability of a standard hydrologic model set-up: Variable Infiltration Capacity (VIC) hydrologic model for two headwater sub-basins in the Fraser River (Salmon and Willow), British Columbia, Canada, with climate inputs derived from observations and statistically downscaled global climate models (GCMs); to simulate six general water resource indicators (WRIs) and 32 ecologically relevant indicators of hydrologic alterations (IHA). The results show a generally good skill of the observation-driven VIC model in replicating most of the WRIs and IHAs. Although the WRIs, including annual volume, centre of timing, and seasonal flows, and the IHAs, including maximum and minimum flows, were reasonably well replicated, statistically significant differences in some of the monthly flows, number and duration of flow pulses, rise and fall rates, and reversals were noted. In the case of GCM-driven results, additional monthly, maximum, and minimum flow indicators produced statistically significant differences. A number of issues with the model input/output data, hydrologic model parametrization and structure as well as downscaling methods were identified, which lead to such discrepancies. Therefore, there is a need to exercise caution in the use of model-simulated indicators. Overall, the WRIs and IHAs can be useful tools for evaluating changes in an altered hydrologic system, provided the skill and limitations of the model in replicating these indicators are understood.

  • Source Publication: International. Journal of Climatology, 34, 2, 326‐342, doi:10.1002/joc.3689 Authors: Whan, K., B. Timbal and J. Lindesay Publication Date: Feb 2014

    The intensity and position of the sub-tropical ridge (STR) have strong relationships with rainfall variability in southern Australia. The combined effect of intensity and position in March-April-May (MAM) and June-July-August (JJA) is the focus of this research. Linear statistics were used first: area-averaged and Australia-wide spatial correlations of STR intensity and position with precipitation in south-west eastern Australia reveal that STR intensity has a much stronger and more widespread relationship with precipitation in both seasons. Over time, these relationships vary in magnitude and spatial extent with the sign of the correlation changing between two 50-year epochs. These nonlinearities were investigated further using classification trees. Area-averaged precipitation data (terciles) for south-west eastern Australia was classified on the basis of STR intensity and position. In both seasons the classification trees identify STR intensity as the primary partition defining the dry group, supporting the linear analysis. In the transition season of MAM, the time of year when the mean position of the STR is more southerly, STR position is important in distinguishing between a ‘winter-like’ and a ‘summer-like’ wet groups, providing STR intensity is low. Vector wind analyses were computed to explain the composite seasonal precipitation anomaly results in terms of different circulation patterns associated with these two wet groups. The frequency of wet and dry cases in each group was examined with changes evident over the recent years. The research confirms that STR intensity is more important than STR position in explaining inter-annual rainfall variability across southern Australia but also demonstrates the additional role of STR position in MAM. These results explain the low correlation between rainfall and STR position and why this relationship has evolved during the 20th century as the mean location of the STR has shifted south in MAM.

  • Source Publication: Hydrological Processes, 28, 3, 1170‐1189, doi: 10.1002/hyp.9661 Authors: Schnorbus, M., A. Werner and K. Bennett Publication Date: Jan 2014

    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.

  • Authors: Hamlet, A.F., M.A. Schnorbus, A.T. Werner, M. Stumbaugh and I. Tohver Publication Date: Nov 2013
  • Source Publication: Bulletin of the American Meteorological Association, 94, 1307–1309. Authors: Hamann, A, T. Wang, D.L. Spittlehouse and T.Q. Murdock Publication Date: Oct 2013
  • Source Publication: Hydrological Processes. doi: 10.1002/hyp.9997 Authors: Shrestha, R.R., D.L. Peters and M.A. Schnorbus Publication Date: Sep 2013
  • Source Publication: Biogeosciences Discuss., 2013, 10, 13603-13638. Authors: Peng, Y., V. K. Arora, W. A. Kurz, R. A. Hember, B. Hawkins, J. C. Fyfe and A. T. Werner Publication Date: Aug 2013
  • Authors: Murdock, T.Q. and S.R. Sobie Publication Date: Aug 2013
  • Source Publication: Journal of Climate. doi:10.1175/JCLI-D-12-00551.1, in press. Authors: Min, S., X. Zhang, F. Zwiers (PCIC), S. Shiogama, Y. Tung, and M. Wehner Publication Date: Jul 2013
  • Authors: Trevor Q. Murdock, Alex. J. Cannon, Stephen R. Sobie Publication Date: Mar 2013

    This report documents the production of statistically downscaled future climate projections by the Pacific Climate Impacts Consortium (PCIC) for Environment Canada under contract number KM170-12-1236. Section 2 describes the selection of a subset of GCM scenarios for the CMIP5 ensemble based on an objective set of selection criteria. The criteria included hemispheric skill assessment based on the CLIMDEX indices (Sillmann et al. 2013) historical criteria used previously at PCIC (Werner 2011), and refinement based on a modified clustering algorithm (Houle et al. 2012; Katsavounidis et al. 1994). In section 3, results are summarized from an intercomparison of three downscaling techniques based on methods used in a previous intercomparison conducted by PCIC (Bürger et al. 2012a).

  • Source Publication: Climatic Change, doi:10.1007/s10584-013-0705-8 Authors: Kharin, V.V., Zwiers, F.W. (PCIC), Zhang, X., Wehner, M. Publication Date: Feb 2013
  • Source Publication: Journal of Geophysical Research: Atmospheres, doi: 10.1002/jgrd_50203 Authors: Sillmann, J., Kharin, V. V., Zhang, X., Zwiers, F. W. (PCIC), Bronaugh, D. (PCIC) Publication Date: Feb 2013
  • Source Publication: Journal of Climate, doi: 10.1175/JCLI-D-12-00502.1 Authors: Westra, S., Alexander, L.V., and Zwiers, F.W. (PCIC) Publication Date: Feb 2013
  • Source Publication: Environmental Science and Policy, Volume 26, February 2013, Pages 75–89, doi:10.1016/j.envsci.2012.07.026. Authors: Trevor Q. Murdock (PCIC), Stephen W. Taylor, Aquila Flower (PCIC), Alan Mehlenbacher (PCIC), Alvaro Montenegro (PCIC), Francis W. Zwiers (PCIC), René Alfaro and David L. Spittlehouse Publication Date: Feb 2013
  • Source Publication: Environmental Science and Policy, Volume 26, February 2013, Pages 63–74, doi:10.1016/j.envsci.2012.07.024. Authors: Aquila Flower, Trevor Q. Murdock (PCIC), Stephen W. Taylor and Francis W. Zwiers (PCIC) Publication Date: Feb 2013
  • Source Publication: Hydrological Processes, doi: 10.1002/hyp.9661 Authors: Schnorbus, M. (PCIC), Werner, A. (PCIC) and Bennett, K. Publication Date: Dec 2012
  • Source Publication: Climatic Change, DOI: 10.1007/s10584-012-0551-0 Authors: Hans von Storch and Francis Zwiers (PCIC) Publication Date: Aug 2012
  • Source Publication: Environmental Science & Policy, Volume 17, 11pp., 2012, doi: Authors: Ian M. Picketts (UNBC), Arelia T. Werner (PCIC), Trevor Q. Murdock (PCIC), John Curry (UNBC), Stephen J. Déry (UNBC), David Dyer (City of Prince George) Publication Date: Mar 2012