Twenty-first-century projections of snowfall and winter severity across central-eastern North America

Journal of Climate

Volumn 27, Issue 17, 2014, Pages 6526-6550

  Notaro, Michael ^a   Lorenz, David ^a   Hoving, Christopher ^b   Schummer, Michael ^c,d  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b MICHIGAN DEPARTMENT OF NATURAL RESOURCES   (United States)

^c Long Point Waterfowl ^*  (United States)

^d STATE UNIVERSITY OF NEW YORK AT OSWEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; COMPUTER SIMULATION; LAKES; SNOW MELTING SYSTEMS;

APPALACHIAN MOUNTAINS; CLIMATE PROJECTION; DOWNSCALED CLIMATE DATUM; GREAT LAKES BASIN; LANDSCAPE CONSERVATION; PRAIRIE POTHOLES; SNOW ACCUMULATION; TOPOGRAPHIC EFFECTS;

SNOW;

ANATIDAE;

EID: 84906888648     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00520.1     Document Type: Article

References (94)

1. Adeloye, A. J., N. R. Nawaz, and M. Montaseri, 1999: Climate change water resources planning impacts incorporating reservoir surface net evaporation fluxes: A case study. Water Resour. Dev., 15, 561-581.
2. Anderson, E. A., 1973: National Weather Service River Forecast System-Snow Accumulation and Ablation Model. NOAA Tech. Memo. NWS Hydro-17, 217 pp.
3. Anderson, E. A., 1976: A point energy and mass balance model of a snow cover. NOAA Tech. Rep. NWS 19, 150 pp.
4. Anderson, E. A., 2002: Calibration of conceptual hydrologic models for use in river forecasting. Office of Hydrologic Development, U.S. National Weather Service, Silver Spring, MD, 372 pp.
5. Anderson, E. A., 2006: Snow Accumulation and Ablation Model-SNOW 17. U.S. National Weather Service, Silver Spring, MD, 61 pp.
6. Bard, L., and D. A. Kristovich, 2012: Trend reversal in Lake Michigan contribution to snowfall. J. Appl. Meteor. Climatol., 51, 2038-2046.
7. Barnett, T. P., J. C. Adam, and D. P. Lettenmaier, 2005: Potential impacts of a warming climate on water availability in snowdominated regions. Nature, 438, 303-309.
8. Baxter, M. A., C. E. Graves, and J. T. Moore, 2005: A climatology of snow-to-liquid ratio for the contiguous United States. Wea. Forecasting, 20, 729-744.
9. Brekke, L. D., E. P. Maurer, J. D. Anderson,M.D. Dettinger, E. S. Townsley, A. Harrison, and T. Pruitt, 2009: Assessing reservoir operations risk under climate change. Water Resour. Res., 45, W04411.
10. Brown, R. D., 2000: Northern Hemisphere snow cover variability and change, 1915-97. J. Climate, 13, 2339-2355.
11. Brown, R. D., and P. W. Mote, 2009: The response of Northern Hemisphere snow cover to a changing climate. J. Climate, 22, 2124-2145.
12. Brutel-Vuilmet, C., M. Ménégoz, and G. Krinner, 2013: An analysis of present and future seasonal Northern Hemisphere land snow cover simulated by CMIP5 coupled climate models. Cryosphere, 7, 67-80.
13. Burnash, R. J. C., R. L. Ferral, and R. A. McQuire, 1973: A generalized streamflow simulation system-Conceptual modeling for digital computers. Joint Federal and State River Forecast Center, U.S. National Weather Service and California Department of Water Resources, Sacramento, California, 204 pp.
14. Burnett, A. W., M. E. Kirby, H. T. Mullins, and W. P. Patterson, 2003: Increasing Great Lake-effect snowfall during the twentieth century: A regional response to global warming? J.Climate, 16, 3535-3542.
15. Carroll, C., 2007: Interacting effects of climate change, landscape conversion, and harvest on carnivore populations at the range margin: Marten and lynx in the northern Appalachians. Conserv. Biol., 21, 1092-1104.
16. Changnon, S. A., 1969: Climatology of severe winter storms in Illinois. Illinois State Water Survey, Bull. 53, State of Illinois, Department of Registration and Education, Urbana, Illinois, 45 pp.
17. Changnon, S. A., 2007: Catastrophic winter storms: An escalating problem. Climatic Change, 84, 131-139.
18. Changnon, S. A., D. Changnon, and T. R. Karl, 2006: Temporal and spatial characteristics of snowstorms in the contiguous United States. J. Appl. Meteor. Climatol., 45, 1141-1156.
19. Christensen, J. H., and Coauthors, 2007: Regional climate projections. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 847-940.
20. CMAP, cited 2013: Climate adaptation guidebook for municipalities in the Chicago region. Chicago Metropolitan Agency for Planning. [Available online at https://www.cmap.illinois.gov/livability/ sustainability-climate-change/climate-adaptation-toolkit.]
21. Cox, H. J., and J. H. Armington, 1914: The Weather and Climate of Chicago. University of Chicago Press, 375 pp.
22. Daly, C., 2006: Guidelines for assessing the suitability of spatial climate data sets. Int. J. Climatol., 26, 707-721.
23. Cox, H. J., W. P. Gibson, G. H. Taylor, M. K. Doggett, and J. I. Smith, 2007: Observer bias in daily precipitation measurements at United States cooperative network stations. Bull. Amer. Meteor. Soc., 88, 899-912.
24. Cox, H. J., and Coauthors, 2008: Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int. J. Climatol., 28, 2031-2064.
25. Delworth, T. L., and Coauthors, 2006: GFDL's CM2 global coupled climate models. Part I: Formulation and simulation characteristics. J. Climate, 19, 643-674.
26. Déqué, M., C. Dreveton, A. Braun, and D. Cariolle, 1994: The ARPEGE-IFS atmosphere model: A contribution to the French community climate modelling. Climate Dyn., 10, 249- 266.
27. Deser, C., R. Knutti, S. Solomon, and A. S. Phillips, 2012a: Communication of the role of natural variability in future North American climate. Nat. Climate Change, 2, 775-779.
28. Deser, C., A. S. Phillips, V. Bourdette, and H. Teng, 2012b: Uncertainty in climate change projections: The role of internal variability. Climate Dyn., 38, 527-546.
29. Deser, C., A. S. Phillips, M. A. Alexander, and B. V. Smoliak, 2014: Projecting North American climate over the next 50 years: Uncertainty due to internal variability. J. Climate, 27, 2271-2296.
30. Draper, S. E., and J. E. Kundell, 2007: Impact of climate change on transboundary water sharing. J.Water Resour. Plann. Manage., 133, 405-415.
31. Edwards, R. Y., 1956: Snow depths and ungulate abundance in the mountains of western Canada. J. Wildl. Manage., 20, 159-168.
32. Eisenberg, D., and K. E. Warner, 2005: Effects of snowfalls on motor vehicle collisions, injuries, and fatalities. Amer. J. Public Health, 95, 120-124.
33. Flato, G. M., G. J. Boer, W. G. Lee, N. A. McFarlane, D. Ramsden, M. C. Reader, and A. J. Weaver, 2000: The Canadian Centre for Climate Modelling and Analysis global coupled model and its climate. Climate Dyn., 16, 451-467.
34. Franz, K. J., T. S. Hogue, and S. Sorooshian, 2008a: Snow model verification using ensemble prediction and operational benchmarks. J. Hydrometeor., 9, 1402-1415.
35. Franz, K. J., T. S. Hogue, and S. Sorooshian, 2008b: Operational snow modeling: Addressing the challenges of an energy balance model for National Weather Service forecasts. J. Hydrol., 360, 48-66.
36. Gordon, H. B., and S. P. O'Farrell, 1997: Transient climate change in the CSIRO coupled model with dynamic sea ice. Mon. Wea. Rev., 125, 875-907.
37. Gordon, H. B., and Coauthors, 2002: The CSIRO Mk3 Climate System Model. CSIRO Atmospheric Research Tech. Rep. 60, 130 pp.
38. Groisman, P. Ya., R. W. Knight, T. R. Karl, and R. R. Heim Jr., 1993: Inferences of the North American snowfall and snow cover with recent global temperature changes. Proc. Snow Watch '92 Int. Workshop, Niagara-on-the-Lake, ON, Canada, Canadian Climate Centre, 44-51.
39. Groisman, P. Ya., R. W. Knight, T. R. Karl, 2001: Heavy precipitation and high streamflow in the contiguous United States: Trends in the twentieth century. Bull. Amer. Meteor. Soc., 82, 219-246.
40. Gutowski, W. J., and Coauthors, 2008: Causes of observed changes in extremes and projections of future changes. Weather and Climate Extremes in a Changing Climate-Regions of Focus: North America, Hawaii, Caribbean, and U.S. Pacific Islands, T. R. Karl et al., Eds., U.S. Climate Change Science Program and the Subcommittee on Global Change Research, 81-116.
41. Hanson, R. T., L. E. Flint, A. L. Flint, M. D. Dettinger, C. C. Faunt, D. Cayan, and W. Schmid, 2012: A method for physically based model analysis of conjunctive use in response to potential climate changes. Water Resour. Res., 48, W00L08.
42. Held, I. M., and B. J. Soden, 2000: Water vapor feedback and global warming. Annu. Rev. Energy Environ., 25, 441-475.
43. Hoving, C. L., D. J. Harrison, W. B. Krohn, R. A. Joseph, and M. O'Brien, 2005: Broad-scale predictors of Canada lynx occurrence in eastern North America. J. Wildl. Manage., 69, 739- 751.
44. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
45. Kapnick, S., and T. Delworth, 2013: Controls of global snow under a changed climate. J. Climate, 26, 5537-5562.
46. Kitoh, A., A. Noda, Y. Nikaidou, T. Ose, and T. Tokioka, 1995: AMIP simulations of the MRI GCM. Pap. Meteor. Geophys., 45, 121-148.
47. Knapp, K. K., D. Kroeger, and K. Giese, 2000: Mobility and safety impacts of winter storm events in a freeway environment: Final report. Center for Transportation Research and Education, Iowa State University, 76 pp.
48. Krasting, J., A. Broccoli, K. Dixon, and J. Lanzante, 2013: Future changes in Northern Hemisphere snowfall. J. Climate, 26, 7813-7828.
49. Krohn, W. B., C. L. Hoving, D. J. Harrison, D. M. Phillips, and H. C. Frost, 2006: Martes foot-loading and snowfall patterns in eastern North America: Implications to broad-scale distributions and interactions of mesocarnivores. Martens and Fishers (Martes) in Human-Altered Environments: An International Perspective, D. J. Harrison, A. K. Fuller, and G. Proulx, Eds., Springer, 115-132.
50. Kunkel, K. E., N. E. Wescott, and D. A. R. Kristovich, 2000: Climate change and lake-effect snow. Preparing for a Changing Climate: The Potential Consequences of Climate Variability and Change, P. J. Sousounis, and J. M. Bisanz, Eds., U.S. EPA, Office of Research and Development Global Change Research Program, 25-28.
51. Kutikoff, S. L., 2013: A climatology of lake-effect snowfall and evaluation of the Cobb method for the Great Lakes region. M.S. thesis, Earth and Atmospheric Sciences, University of Nebraska, 62 pp.
52. Laird, N., R. Sobash, and N. Hodas, 2009: The frequency and characteristics of lake-effect precipitation events associated with the New York State Finger Lakes. J. Appl. Meteor. Climatol., 48, 873-886.
53. Leathers, D. J., and A. W. Ellis, 1996: Synoptic mechanisms associated with snowfall increases to the lee of Lakes Erie and Ontario. Int. J. Climatol., 16, 1117-1135.
54. Legutke, S., and R. Voss, 1999: The Hamburg atmosphere-ocean coupled circulation model ECHO-G. Tech. Rep. 18, German Climate Computer Centre (DKRZ), Hamburg, 62 pp.
55. Lemke, P., and Coauthors, 2007: Observations: Changes in snow, ice and frozen ground. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 337-383.
56. Lettenmaier, D., and T. Gan, 1990: Hydrologic sensitivities of the Sacramento-San Joaquin River basin, California, to global warming. Water Resour. Res., 26, 69-86.
57. López-Moreno, J. I., S. Goyette, S. M. Vicente-Serrano, and M. Beniston, 2011: Effects of climate change on the intensity and frequency of heavy snowfall events in the Pyrenees. Climatic Change, 105, 489-508.
58. Mahanama, S., B. Livneh, R. Koster, D. Lettenmaier, and R. Reichle, 2012: Soil moisture, snow, and seasonal streamflow forecasts in the United States. J. Hydrometeor., 13, 189-203.
59. Manabe, S., R. T. Wetherald, and R. J. Stouffer, 1981: Summer dryness due to an increase of atmospheric CO2 concentration. Climatic Change, 3, 347-386.
60. Mastin, M. C., K. J. Chase, and R. W. Dudley, 2011: Changes in spring snowpack for selected basins in the United States for different climate-change scenarios. Earth Interact., 15.
61. Maurer,E. P., L. D.Brekke, and T. Pruitt, 2010:Contrasting lumped and distributed hydrologymodels for estimating climate change impacts on California watersheds. J. Amer. Water Resour. Assoc., 46, 1024-1035.
62. McKenney, D. W., M. F. Hutchinson, J. L. Kesteven, and L. A. Venier, 2001: Canada's plant hardiness zones revisited using modern climate interpolation techniques. Can. J. Plant Sci., 81, 129-143.
63. Mesinger, F., and Coauthors, 2006: North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343-360.
64. Miller, N. L., K. E. Bashford, and E. Strem, 2003: Potential impacts of climate change on California hydrology. J. Amer. Water Resour. Assoc., 39, 771-784.
65. Mishra, V., K. A. Cherkauer, and S. Shukla, 2010: Assessment of drought due to historic climate variability and projected future climate change in the midwestern United States. J. Hydrometeor., 11, 46-68.
66. National Geophysical Data Center, cited 2013: 2-minute gridded global relief data (ETOPO2v2). NOAA/NESDIS/NGCD. [Available online at http://www.ngdc.noaa.gov/mgg/fliers/ 06mgg01.html.]
67. Norton, D. C., and S. J. Bolsenga, 1993: Spatiotemporal trends in lake effect and continental snowfall in the Laurentian Great Lakes, 1951-1980. J. Climate, 6, 1943-1955.
68. Notaro, M., D. Lorenz, D. Vimont, S. Vavrus, C. Kucharik, and K. Franz, 2011: 21st century Wisconsin snow projections based on an operational snowmodel driven by statistically downscaled climate data. J. Climatol., 31, 1615-1633.
69. Notaro, M., A. Zarrin, S. Vavrus, and V. Bennington, 2013: Simulation of heavy lake-effect snowstorms across the Great Lakes basin by RegCM4: Synoptic climatology and variability. Mon. Wea. Rev., 141, 1990-2014.
70. O'Gorman, P. A., and T. Schneider, 2009: The physical basis for increases in precipitation extremes in simulations of 21stcentury climate change. Proc. Natl. Acad. Sci. USA, 106, 14 773-14 777.
71. Ohmura, A., 2001: Physical basis for the temperature-based meltindex method. J. Appl. Meteor., 40, 753-761.
72. Peacock, S., 2012: Projected twenty-first-century changes in temperature, precipitation, and snow cover over North America in CCSM4. J. Climate, 25, 4405-4429.
73. Räisänen, J., 2008: Warmer climate: Less or more snow? Climate Dyn., 30, 307-319.
74. Raleigh, M. S., and J. D. Lundquist, 2012: Comparing and combining SWE estimates from the SNOW-17 model using PRISM and SWE reconstruction. Water Resour. Res., 48, W01506.
75. Rasmussen, R. M., A. Crook, and C. Kessinger, 1993: Snow-band formation and evolution during the 15 November 1987 aircraft accident at Denver airport. Wea. Forecasting, 8, 453-480.
76. Robinson, P. J., 1989: The influence of weather on flight operations at the Atlanta Hartsfield International Airport. Wea. Forecasting, 4, 461-468.
77. Roeckner, E., and Coauthors, 2003: The atmospheric general circulation model ECHAM5. Part I: Model description. Max Planck Institute for Meteorology Rep. 349, 127 pp.
78. Roesch, A., 2006: Evaluation of surface albedo and snow cover in AR4 coupled climate models. J. Geophys. Res., 111, D15111.
79. Rogot, E., and S. J. Padgett, 1976: Associations of coronary and stroke mortality with temperature and snowfall in selected areas of the United States, 1962-1966. Amer. J. Epidemiol., 103, 565-575.
80. Rooney, J. F., 1967: Urban snow hazard in the United States- Appraisal of disruption. Geogr. Rev., 57, 538-559.
81. Schmidt, G. A., and Coauthors, 2006: Present-day simulations using GISS ModelE: Comparison to in-situ, satellite, and reanalysis data. J. Climate, 19, 153-192.
82. Schummer, M. L., R. M. Kaminski, A. H. Raedeke, and D. A. Graber, 2010: Weather-related indices of autumn-winter dabbling duck abundance in middle North America. J. Wildl. Manage., 74, 94-101.
83. Scott, D., J. Dawson, and B. Jones, 2008: Climate change vulnerability of the US Northeast winter recreation-tourism sector. Mitig. Adapt. Strategies Global Change, 13, 577-596.
84. Severinghaus, C. W., 1947: Relationship of weather to winter mortality and population levels among deer in the Adirondack region of New York. Trans. N. Amer. Wildl. Conf., 12, 212-223.
85. Southwick Associates, 2012: Hunting in America: An economic force for conservation. Southwick Associates, produced for National Shooting Sports Foundation in partnership with the Association of Fish and Wildlife Agencies, 16 pp. [Available online at http://www.nssf.org/PDF/research/ HuntingInAmerica_EconomicForceForConservation.pdf.]
86. Stacy, E. W., 1962:Ageneralization of the gamma distribution. Ann. Math. Stat., 33, 1187-1192.
87. U.S. Fish and Wildlife Service, cited 2011: National Survey of Fishing, Hunting, and Wildlife-Associated Recreation. U.S. Department of the Interior, U.S. Fish andWildlife Service, and U.S. Department of Commerce, U.S. Census Bureau. [Available online at http://www.census.gov/prod/www/fishing.html.]
88. Verme, L. J., 1968: An index of winter weather severity for northern deer. J. Wildl. Manage., 32, 566-574.
89. Vicuna, S., R. Leonardson, M. Hanemann, L. Dale, and J. Dracup, 2008: Climate change impacts on high elevation hydropower generation in California's Sierra Nevada: A case study on the Upper American River. Climatic Change, 87, 123-137.
90. Westerling, A., H. Hidalgo, D. Cayan, and T. Swetnam, 2006: Warming and earlier spring increases western U.S. forest wildfire activity. Science, 313, 940-943.
91. WICCI, cited 2011: Wisconsin's changing climate: Impacts and adaptation. Wisconsin Initiative on Climate Change Impacts. [Available online at http://www.wicci.wisc.edu/.]
92. Wood, A.W., L. R. Leung, V. Srifhar, and D. P. Lettenmaier, 2004: Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change, 62, 189-216.
93. Zappa, M., F. Pos, U. Strasser, P. Warmerdam, and J. Gurtz, 2003: Seasonal water balance of an Alpine catchment as evaluated by different methods for spatially distributed snowmelt modeling. Nord. Hydrol., 34, 179-202.
94. Zhang, Y., S. Wang, A. G. Barr, and T. A. Black, 2008: Impact of snow cover on soil temperature and its simulation in a boreal aspen forest. Cold Reg. Sci. Technol., 52, 355-370.