Great Lakes Basin Snow-Cover Ablation and Synoptic-Scale Circulation

Zachary J. Suriano Department of Geography, University of Delaware, Newark, Delaware

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Daniel J. Leathers Department of Geography, University of Delaware, Newark, Delaware

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Abstract

Synoptic-scale atmospheric conditions play a critical role in determining the frequency and intensity of snow-cover-ablation events. Using a synoptic weather-classification technique, distinct regional circulation patterns influencing the Great Lakes basin of North America are identified and examined in conjunction with daily snow-ablation events from 1960 to 2009. An ablation event is considered in this study to be an interdiurnal decrease in areal-weighted average snow depth of greater than 2.54 cm in magnitude over the entire Great Lakes basin. General meteorological characteristics associated with ablation-causing synoptic types are examined, and three individual case studies from prominent synoptic types are presented to understand the diversity of meteorological influences on regional snow ablation. Results indicate that a variety of synoptic weather conditions lead to snow ablation in the Great Lakes basin. The 10 most common synoptic types accounted for 66% of the 349 ablation events detected from 1960 to 2009. Snow ablation in the Great Lakes basin most commonly occurs when there is advection of warm and moist air into the region to provide the sensible and latent heat fluxes that are needed for melt, but ablation frequently occurs during rain-on-snow events and in instances of high pressure overhead. Ablation magnitude is highest during rain-on-snow synoptic types, and the interannual frequency of these types significantly decreased by 37% over 1960–2009. Conversely, the frequency of high-pressure-overhead synoptic types significantly increased by more than 30% from 1960 to 2009. Such changes may influence the hydrologic impact of these synoptic types on ablation over time.

Supplemental information related to this paper is available at the Journals Online website: https://doi.org/10.1175/JAMC-D-17-0297.s1.

Current affiliation: Department of Geography and Geology, University of Nebraska at Omaha, Omaha, Nebraska.

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Zachary J. Suriano, zsuriano@udel.edu

Abstract

Synoptic-scale atmospheric conditions play a critical role in determining the frequency and intensity of snow-cover-ablation events. Using a synoptic weather-classification technique, distinct regional circulation patterns influencing the Great Lakes basin of North America are identified and examined in conjunction with daily snow-ablation events from 1960 to 2009. An ablation event is considered in this study to be an interdiurnal decrease in areal-weighted average snow depth of greater than 2.54 cm in magnitude over the entire Great Lakes basin. General meteorological characteristics associated with ablation-causing synoptic types are examined, and three individual case studies from prominent synoptic types are presented to understand the diversity of meteorological influences on regional snow ablation. Results indicate that a variety of synoptic weather conditions lead to snow ablation in the Great Lakes basin. The 10 most common synoptic types accounted for 66% of the 349 ablation events detected from 1960 to 2009. Snow ablation in the Great Lakes basin most commonly occurs when there is advection of warm and moist air into the region to provide the sensible and latent heat fluxes that are needed for melt, but ablation frequently occurs during rain-on-snow events and in instances of high pressure overhead. Ablation magnitude is highest during rain-on-snow synoptic types, and the interannual frequency of these types significantly decreased by 37% over 1960–2009. Conversely, the frequency of high-pressure-overhead synoptic types significantly increased by more than 30% from 1960 to 2009. Such changes may influence the hydrologic impact of these synoptic types on ablation over time.

Supplemental information related to this paper is available at the Journals Online website: https://doi.org/10.1175/JAMC-D-17-0297.s1.

Current affiliation: Department of Geography and Geology, University of Nebraska at Omaha, Omaha, Nebraska.

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Zachary J. Suriano, zsuriano@udel.edu

Supplementary Materials

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  • Anderson, E. A., 1976: A point energy and mass balance model of a snow cover. NOAA Tech. Rep. NWS 19, 150 pp., http://amazon.nws.noaa.gov/articles/HRL_Pubs_PDF_May12_2009/HRL_PUBS_51-100/81_A_POINT_ENERGY_AND_MASS.pdf.

  • Barnett, T. P., J. C. Adam, and D. P. Lettenmaier, 2005: Potential impacts of a warming climate on water availability in snow-dominated regions. Nature, 438, 303309, https://doi.org/10.1038/nature04141.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bednorz, E., 2009: Synoptic conditions for rapid snowmelt in the Polish–German lowlands. Theor. Appl. Climatol., 97, 279286, https://doi.org/10.1007/s00704-008-0063-z.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bednorz, E., and J. Wibig, 2015: Spatial distribution and synoptic conditions of snow accumulation and snow ablation in the west Siberian plain. Quest. Geogr., 34, 515, https://doi.org/10.1515/quageo-2015-0029.

    • Search Google Scholar
    • Export Citation
  • Changnon, S. A., 2008: Assessment of flood losses in the United States. J. Contemp. Water Res. Educ., 138, 3844, https://doi.org/10.1111/j.1936-704X.2008.00007.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Colbeck, S. C., 1983: Theory of metamorphism of dry snow. J. Geophys. Res., 88, 54755482, https://doi.org/10.1029/JC088iC09p05475.

  • Déry, S. J., and M. K. Yau, 2002: Large-scale mass balance effects of blowing snow and surface sublimation. J. Geophys. Res., 107, 4679, https://doi.org/10.1029/2001JD001251.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dyer, J. L., and T. L. Mote, 2006: Spatial variability and trends in observed snow depth over North America. Geophys. Res. Lett., 33, L16503, https://doi.org/10.1029/2006GL027258.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dyer, J. L., and T. L. Mote, 2007: Trends in snow ablation over North America. Int. J. Climatol., 27, 739748, https://doi.org/10.1002/joc.1426.

  • Ellis, A. W., and D. J. Leathers, 1996: A synoptic climatological approach to the analysis of lake-effect snowfall: Potential forecasting applications. Wea. Forecasting, 11 216229, https://doi.org/10.1175/1520-0434(1996)011<0216:ASCATT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fracz, A., and P. Chow-Fraser, 2013: Impacts of declining water levels on the quantity of fish habitat in coastal wetlands of eastern Georgian Bay, Lake Huron. Hydrobiologia, 702, 151169, https://doi.org/10.1007/s10750-012-1318-3.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grundstein, A. J., and D. J. Leathers, 1998: A case study of the synoptic patterns influencing midwinter snowmelt across the northern Great Plains. Hydrol. Processes, 12, 22932305, https://doi.org/10.1002/(SICI)1099-1085(199812)12:15<2293::AID-HYP797>3.0.CO;2-9.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grundstein, A. J., and D. J. Leathers, 1999: A spatial analysis of snow-surface energy exchanges over the northern Great Plains of the United States in relation to synoptic scale forcing mechanisms. Int. J. Climatol., 19, 489511, https://doi.org/10.1002/(SICI)1097-0088(199904)19:5<489::AID-JOC373>3.0.CO;2-J.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kalkstein, L. S., and P. Corrigan, 1986: A synoptic climatological approach for geographical analysis: Assessment of sulfur-dioxide concentrations. Ann. Assoc. Amer. Geogr., 76, 381395, https://doi.org/10.1111/j.1467-8306.1986.tb00126.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kalkstein, L. S., G. Tan, and J. Skindlov, 1987: An evaluation of three clustering procedures for use in synoptic climatological classification. J. Climate Appl. Meteor., 26, 717730, https://doi.org/10.1175/1520-0450(1987)026<0717:AEOTCP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kluver, D., T. Mote, D. J. Leathers, G. R. Henderson, W. Chan, and D. A. Robinson, 2016: Creation and validation of a comprehensive 1° by 1° daily gridded North American dataset for 1900–2009: Snowfall. J. Atmos. Oceanic Technol., 33, 857871, https://doi.org/10.1175/JTECH-D-15-0027.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Leathers, D. J., D. R. Kluck, and S. Kroczynski, 1998: The severe flooding event of 1996 across north-central Pennsylvania. Bull. Amer. Meteor. Soc., 79, 785798, https://doi.org/10.1175/1520-0477(1998)079<0785:TSFEOJ>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Leathers, D. J., D. Graybeal, T. L. Mote, A. Grundstein, and D. A. Robinson, 2004: The role of airmass types and surface energy fluxes in snow cover ablation in the central Appalachians. J. Appl. Meteor., 43, 18871899, https://doi.org/10.1175/JAM2172.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Levia, D. F., and D. J. Leathers, 2011: Rain-induced snowmelt. Encyclopedia of Snow, Ice and Glaciers, V. P. Singh, P. Singh, and U. K. Haritashya, Eds., Encyclopedia of Earth Sciences Series, Springer-Verlag, 915–917, https://doi.org/10.1007/978-90-481-2642-2.

    • Search Google Scholar
    • Export Citation
  • Mesinger, F., and Coauthors, 2006: North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343360, https://doi.org/10.1175/BAMS-87-3-343.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Quinn, F. H., 2002: Secular changes in Great Lakes water level seasonal cycles. J. Great Lakes Res., 28, 451465, https://doi.org/10.1016/S0380-1330(02)70597-2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Robinson, D. A., 1988: Construction of a United States historical snow database. Proc. 45th Eastern Snow Conf., Lake Placid, NY, Eastern Snow Conference, 50–59.

  • Suriano, Z. J., and D. J. Leathers, 2017a: Spatio-temporal variability of Great Lakes basin snow cover ablation events. Hydrol. Processes, 31, 42294237, https://doi.org/10.1002/hyp.11364.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Suriano, Z. J., and D. J. Leathers, 2017b: Synoptically classified lake-effect snowfall trends to the lee of Lakes Erie and Ontario. Climate Res., 74, 113, https://doi.org/10.3354/cr01480.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Suriano, Z. J., and D. J. Leathers, 2017c: Synoptic climatology of lake-effect snowfall conditions in the eastern Great Lakes region. Int. J. Climatol., 37, 43774389, https://doi.org/10.1002/joc.5093.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wilks, D. S., 2011: Statistical Methods in the Atmospheric Sciences. 3rd ed. Elsevier, 676 pp.

    • Crossref
    • Export Citation
  • Yarnal, B., 1993: Synoptic Climatology in Environmental Analysis: A Primer. Belhaven Press, 195 pp.

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