Blackport, R., and P. J. Kushner, 2016: The Transient and Equilibrium Climate Response to Rapid Summertime Sea Ice Loss in CCSM4. J. Climate, 29, 401–417, doi:10.1175/JCLI-D-15-0284.1. http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-15-0284.1
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Kang, D. H., H. Gao, X. Shi, S. ul Islam, and S. J. Déry, 2016: Impacts of a Rapidly Declining Mountain Snowpack on Streamflow Timing in Canada’s Fraser River Basin. Scientific Reports, 6, 19299. http://www.nature.com/articles/srep19299
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Kumar, S., J. L. Kinter, Z. Pan, and J. Sheffield, 2016: Twentieth century temperature trends in CMIP3, CMIP5, and CESM-LE climate simulations: Spatial-temporal uncertainties, differences, and their potential sources. J. Geophys. Res. Atmos., 121, 9561–9575, doi:10.1002/2015JD024382. http://onlinelibrary.wiley.com/doi/10.1002/2015JD024382/full
Laliberté, F., S. E. L. Howell, and P. J. Kushner, 2016: Regional variability of a projected sea ice-free Arctic during the summer months. Geophys. Res. Lett., 43, 2015GL066855, doi:10.1002/2015GL066855. http://onlinelibrary.wiley.com/doi/10.1002/2015GL066855/full
McCusker, K. E., J. C. Fyfe, and M. Sigmond, 2016: Twenty-five winters of unexpected Eurasian cooling unlikely due to Arctic sea-ice loss. Nature Geosci, advance online publication. http://dx.doi.org/10.1038/ngeo2820.
Najafi, M. R., F. W. Zwiers, and N. P. Gillett, 2016: Attribution of the spring snow cover extent decline in the Northern Hemisphere, Eurasia and North America to anthropogenic influence. Climatic Change, 1–16, doi:10.1007/s10584-016-1632-2. http://link.springer.com/article/10.1007/s10584-016-1632-2
Sospedra-Alfonso, R., L. Mudryk, W. J. Merryfield, and C. Derksen, 2016: Representation of Snow in the Canadian Seasonal to Interannual Prediction System. Part I: Initialization. J. Hydrometeor, 17, 1467–1488, http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-14-0223.1.
Sospedra-Alfonso, R., W. J. Merryfield, and V. V. Kharin, 2016: Representation of Snow in the Canadian Seasonal to Interannual Prediction System. Part II: Potential Predictability and Hindcast Skill. J. Hydrometeor., 17, 2511–2535, doi:10.1175/JHM-D-16-0027.1. http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-16-0027.1
Sospedra-Alfonso, R., and W. J. Merryfield, 2016: Potential and actual predictability of snow water equivalent in historical forecasts of the Canadian Fourth Generation Coupled Model (CanCM4). Climate Prediction S&T Digest, 40th NOAA Annual CDPW, 129-134, http://www.nws.noaa.gov/ost/climate/STIP/40cdpw_digest.htm
Thackeray, C. W., and C. G. Fletcher, 2016: Snow albedo feedback: Current knowledge, importance, outstanding issues and future directions. Progress in Physical Geography, 40, 392–408, doi:10.1177/0309133315620999. http://ppg.sagepub.com/content/40/3/392.full.pdf+html
Thackeray, C. W., C. G. Fletcher, L. R. Mudryk, and C. Derksen, 2016: Quantifying the uncertainty in historical and future simulations of Northern Hemisphere spring snow cover. J. Climate, doi:10.1175/JCLI-D-16-0341.1. http://dx.doi.org/10.1175/JCLI-D-16-0341.1
Blackport, R., and P. Kushner. Isolating the atmospheric circulation response to Arctic sea-ice loss in the coupled climate system. Submitted to J. Climate, April 2016.
Dirkson, A., W. J. Merryfield and A. H. Monahan, 2016: Impacts of sea ice thickness initialization on seasonal Arctic sea ice predictions. Submitted to Journal of Climate, June 2016.
Islam S., Déry S.J. and Werner A.T., 2015: Future climate change impacts on snow and water resources of the Fraser River Basin, British Columbia, Submitted to Journal of Hydrometeorology
Ambadan Thomas, J., A. A. Berg, and W. J. Merryfield, 2015: Influence of snow and soil moisture initialization on sub-seasonal predictability and forecast skill in boreal spring. Climate Dynamics, 1–17, doi:10.1007/s00382-015-2821-9.
Bichet, A., P. J. Kushner, L. Mudryk, L. Terray, and J. C. Fyfe, 2015: Estimating the Anthropogenic Sea Surface Temperature Response Using Pattern Scaling. J. Climate, 28, 3751–3763, doi:10.1175/JCLI-D-14-00604.1.
Dirkson, A., W. J. Merryfield, and A. Monahan, 2015: Real-time estimation of Arctic sea ice thickness through maximum covariance analysis: Statistical sea ice thickness. Geophysical Research Letters, 42, 4869–4877, doi:10.1002/2015GL063930.
Fletcher, C. G., C. W. Thackeray, and T. M. Burgers, 2015: Evaluating biases in simulated snow albedo feedback in two generations of climate models. Journal of Geophysical Research: Atmospheres, 120, 12–26, doi:10.1002/2014JD022546.
Gagné, M.-È., N. P. Gillett, and J. C. Fyfe, 2015: Impact of aerosol emission controls on future Arctic sea ice cover. Geophys. Res. Lett., 42, 2015GL065504, doi:10.1002/2015GL065504.
Hernández-Henríquez, M. A., S. J. Déry, and C. Derksen, 2015: Polar amplification and elevation-dependence in trends of Northern Hemisphere snow cover extent, 1971–2014. Environmental Research Letters, 10, 44010, doi:10.1088/1748-9326/10/4/044010.
Howell, S. E. L., C. Derksen, L. Pizzolato, and M. Brady, 2015: Multiyear ice replenishment in the Canadian Arctic Archipelago: 1997–2013. J. Geophys. Res. Oceans, 120, 1623–1637, doi:10.1002/2015JC010696.
Kumar, S., R. P. Allan, F. Zwiers, D. M. Lawrence, and P. A. Dirmeyer, 2015: Revisiting trends in wetness and dryness in the presence of internal climate variability and water limitations over land. Geophys. Res. Lett., 42, 10,867-10,875, doi:10.1002/2015GL066858.
Mudryk, L. R., C. Derksen, P. J. Kushner, and R. Brown, 2015: Characterization of Northern Hemisphere Snow Water Equivalent Datasets, 1981–2010. J. Climate, 28, 8037–8051, doi:10.1175/JCLI-D-15-0229.1.
Najafi, M. R., F. W. Zwiers, and N. P. Gillett, 2015: Attribution of Arctic temperature change to greenhouse-gas and aerosol influences. Nature Clim. Change, 5, 246–249, doi:10.1038/nclimate2524.
Sospedra-Alfonso, R., J. R. Melton, and W. J. Merryfield, 2015a: Effects of temperature and precipitation on snowpack variability in the Central Rocky Mountains as a function of elevation: Climate driven alpine snowpack. Geophysical Research Letters, 42, 4429–4438, doi:10.1002/2015GL063898.
Sospedra-Alfonso, R., L. Mudryk, W. Merryfield, and C. Derksen, 2015b: Representation of snow in the Canadian Seasonal to Interannual Prediction System: Part I. Initialization. Journal of Hydrometeorology, 150515115733001, doi:10.1175/JHM-D-14-0223.1.
Thackeray, C. W., C. G. Fletcher, and C. Derksen, 2015: Quantifying the skill of CMIP5 models in simulating seasonal albedo and snow cover evolution: CMIP5-simulated albedo and SCF skill. Journal of Geophysical Research: Atmospheres, 120, 5831–5849, doi:10.1002/2015JD023325.
Déry, S., H. Knudsvig, M. Hernández-Henríquez, and D. Coxson, 2014: Net Snowpack Accumulation and Ablation Characteristics in the Inland Temperate Rainforest of the Upper Fraser River Basin, Canada. Hydrology, 1, 1–19, doi:10.3390/hydrology1010001. (Partially supported by CanSISE)
Gervais, M., J. R. Gyakum, E. Atallah, L. B. Tremblay, and R. B. Neale, 2014a: How Well Are the Distribution and Extreme Values of Daily Precipitation over North America Represented in the Community Climate System Model? A Comparison to Reanalysis, Satellite, and Gridded Station Data. Journal of Climate, 27, 5219–5239, doi:10.1175/JCLI-D-13-00320.1. (Directly supported by CanSISE)
Gervais, M., L. B. Tremblay, J. R. Gyakum, and E. Atallah, 2014b: Representing Extremes in a Daily Gridded Precipitation Analysis over the United States: Impacts of Station Density, Resolution, and Gridding Methods. Journal of Climate, 27, 5201–5218, doi:10.1175/JCLI-D-13-00319.1. (Directly supported by CanSISE)
Kang, D. H., X. Shi, H. Gao, and S. J. Déry, 2014: On the Changing Contribution of Snow to the Hydrology of the Fraser River Basin, Canada. Journal of Hydrometeorology, 15, 1344–1365, doi:10.1175/JHM-D-13-0120.1. (Directly supported by CanSISE)
Mudryk, L. R., P. J. Kushner, and C. Derksen, 2014: Interpreting observed northern hemisphere snow trends with large ensembles of climate simulations. Climate Dynamics, 43, 345–359, doi:10.1007/s00382-013-1954-y. (Related to CanSISE)
Shrestha, R. R., M. A. Schnorbus, A. T. Werner, and F. W. Zwiers, 2013: Evaluating Hydroclimatic Change Signals from Statistically and Dynamically Downscaled GCMs and Hydrologic Models. J. Hydrometeor, 15, 844–860, doi:10.1175/JHM-D-13-030.1. (Related to CanSISE)
Thackeray, C. W., C. G. Fletcher, and C. Derksen, 2014: The influence of canopy snow parameterizations on snow albedo feedback in boreal forest regions: Boreal forest snow albedo feedback. Journal of Geophysical Research: Atmospheres, 119, 9810–9821, doi:10.1002/2014JD021858. (Directly supported by CanSISE)
Wan, H., X. Zhang, F. Zwiers, and S.-K. Min, 2015: Attributing northern high-latitude precipitation change over the period 1966–2005 to human influence. Climate Dynamics, 45, 1713–1726, doi:10.1007/s00382-014-2423-y. (Directly supported by CanSISE)
Pittana, M., and C. Haas, 2014: Comparing Sea Ice Mass Balance Buoy Snow Depth Measurements with Reanalysis and Climate Model Data. Internal summer project summary report, York University. (Theme A, directly supported by CanSISE)