“Hurricane Huron”: An Example of an Extreme Lake-Aggregate Effect in Autumn

Peter J. Sousounis University of Michigan, Ann Arbor, Michigan

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James Wallman University of Michigan, Ann Arbor, Michigan

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Greg E. Mann University of Michigan, Ann Arbor, Michigan

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Todd J. Miner The Pennsylvania State University, University Park, Pennsylvania

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Abstract

An intense cutoff low developed over the Great Lakes during the period 13–15 September 1996. The low developed as unseasonably cool air spread over the relatively warm water of the Great Lakes aggregate (i.e., all the Great Lakes). It eventually developed an eye, spiral rainbands, and a warm core, similar to those in a hurricane.

This event presented some forecast challenges for the Nested Grid Model (NGM) and Eta Model and hence for the National Weather Service. The NGM model forecasted a weaker low (999 vs 993 hPa) to be centered east of the observed location, over Lake Huron. The Eta Model forecasted a slightly stronger low (991 vs 993 hPa) to be centered even farther east than did the NGM, over southern Ontario. As a result of the sea level pressure errors, both models also forecasted much weaker winds than were observed over the lakes and much less precipitation around the lakeshores. The coarse resolution in both models likely contributed significantly to these errors.

With-lake (WL) and no-lake (NL) simulations were performed with the National Center for Atmospheric Research–Pennsylvania State University mesoscale model MM5 to determine the impacts of the Great Lakes on development of the low. The WL simulation agreed well with the observations. At the surface, the intensity and position of the WL low was within 1.7 hPa and 70 km at 30 h into the simulation (1800 UTC 14 September 1996), when the observed low was most intense. To the extent that the impact of the Great Lakes can be ascertained through comparison of the simulations, selected WL–NL differences at the surface revealed that the lakes deepened the WL low by ∼5–7 hPa and restricted its movement.

A comparison of WL and NL simulations at upper levels revealed equally impressive differences (e.g., lake-induced perturbations). Strong negative (positive) height and meso-α-scale cyclonic (anticyclonic) wind perturbations at 850 (300) hPa support the hypothesis that the Great Lakes were instrumental in generating a warm core and strong winds near the surface. A comparison of WL–NL differences for this case are compared with those from a more typical wintertime case to illustrate that the WL–NL perturbations can be more intense and can extend to considerably greater depths than in typical winter cases. Strong latent heat fluxes, low static stability, and slow movement (e.g., the cut-off nature) of the synoptic-scale low allowed the strong heating and moistening from the Great Lakes to extend to midtropospheric levels for an extended period of time.

Corresponding author address: Dr. Peter J. Sousounis, Atmospheric, Oceanic, and Spaces Sciences Dept., University of Michigan, Ann Arbor, MI 48109-2143.

Abstract

An intense cutoff low developed over the Great Lakes during the period 13–15 September 1996. The low developed as unseasonably cool air spread over the relatively warm water of the Great Lakes aggregate (i.e., all the Great Lakes). It eventually developed an eye, spiral rainbands, and a warm core, similar to those in a hurricane.

This event presented some forecast challenges for the Nested Grid Model (NGM) and Eta Model and hence for the National Weather Service. The NGM model forecasted a weaker low (999 vs 993 hPa) to be centered east of the observed location, over Lake Huron. The Eta Model forecasted a slightly stronger low (991 vs 993 hPa) to be centered even farther east than did the NGM, over southern Ontario. As a result of the sea level pressure errors, both models also forecasted much weaker winds than were observed over the lakes and much less precipitation around the lakeshores. The coarse resolution in both models likely contributed significantly to these errors.

With-lake (WL) and no-lake (NL) simulations were performed with the National Center for Atmospheric Research–Pennsylvania State University mesoscale model MM5 to determine the impacts of the Great Lakes on development of the low. The WL simulation agreed well with the observations. At the surface, the intensity and position of the WL low was within 1.7 hPa and 70 km at 30 h into the simulation (1800 UTC 14 September 1996), when the observed low was most intense. To the extent that the impact of the Great Lakes can be ascertained through comparison of the simulations, selected WL–NL differences at the surface revealed that the lakes deepened the WL low by ∼5–7 hPa and restricted its movement.

A comparison of WL and NL simulations at upper levels revealed equally impressive differences (e.g., lake-induced perturbations). Strong negative (positive) height and meso-α-scale cyclonic (anticyclonic) wind perturbations at 850 (300) hPa support the hypothesis that the Great Lakes were instrumental in generating a warm core and strong winds near the surface. A comparison of WL–NL differences for this case are compared with those from a more typical wintertime case to illustrate that the WL–NL perturbations can be more intense and can extend to considerably greater depths than in typical winter cases. Strong latent heat fluxes, low static stability, and slow movement (e.g., the cut-off nature) of the synoptic-scale low allowed the strong heating and moistening from the Great Lakes to extend to midtropospheric levels for an extended period of time.

Corresponding author address: Dr. Peter J. Sousounis, Atmospheric, Oceanic, and Spaces Sciences Dept., University of Michigan, Ann Arbor, MI 48109-2143.

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  • Anthes, R. A., 1982: Tropical Cyclones: Their Evolution, Structure, and Effects. Amer. Meteor. Soc., 208 pp.

  • Ballentine, R. J., A. J. Stamm, E. E. Chermack, G. P. Byrd, and D. Schleede, 1998: Mesoscale model simulation of the 4–5 January 1995 lake-effect snowstorm. Wea. Forecasting,13, 893–920.

  • Black, T. L., 1994: The new NMC Mesoscale Eta Model: Description and forecast examples. Wea. Forecasting,9, 265–278.

  • Blackadar, A. K., 1979: High resolution models of the planetary boundary layer. Advances in Environmental Science and Engineering, J. R. Pfafflin and E. N. Ziegler, Eds., Vol. 1, Gordon and Breach Science Publishers, 50–85.

  • Cox, H. J., 1917: Influence of the Great Lakes upon movement of high and low pressure areas. Proc. Second Pan Amer. Sci. Congr.,2, 432–459.

  • Craig, G. C., and S. L. Gray, 1996: CISK or WISHE as the mechanism for tropical cyclone intensification. J. Atmos. Sci.,53, 3528–3540.

  • Dudhia, J., 1993: A nonhydrostatic version of the Penn State/NCAR Mesoscale Model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev.,121, 1493–1513.

  • Eichenlaub, V. L., 1979: Weather and Climate in the Great Lakes Region. University of Notre Dame Press, 335 pp.

  • Forbes, G. S., and J. M. Merritt, 1984: Mesoscale vortices over the Great Lakes in wintertime. Mon. Wea. Rev.,112, 377–381.

  • Gallus, W. A., Jr., 1999: Eta simulations of three extreme precipitation events: Sensitivity to resolution and convective parameterization. Wea. Forecasting,14, 405–426.

  • Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 138 pp.

  • Hirschberg, P. A., and J. M. Fritsch, 1993: A study of the development of extratropical cyclones with an analytic model. Part I: The effects of stratospheric structure. J. Atmos. Sci.,50, 311–327.

  • Hoke, J. E., N. A. Phillips, G. J. DiMego, J. J. Tuccillo, and J. G. Sela, 1989: Regional Analysis and Forecast System of the National Meteorological Center. Wea. Forecasting,4, 323–334.

  • Kain, J. S., and J. M. Fritsch, 1990: A one-dimensional entraining/detraining plume model and its application in convective parameterization. J. Atmos. Sci.,47, 2784–2802.

  • ——, and ——, 1993: The role of the convective “trigger function” in numerical prediction of mesoscale convective systems. Meteor. Atmos. Phys.,49, 93–106.

  • ——, and ——, 1998: Multiscale convective overturning in mesoscale convective systems: Reconciling observations, simulations, and theory. Mon. Wea. Rev.,126, 2254–2273.

  • Laird, N. F., 1999: Observation of coexisting mesoscale lake-effect vortices over the western Great Lakes. Mon. Wea. Rev.,127, 1137–1141.

  • Miner, T., and J. M. Fritsch, 1997: Lake-effect rain events. Mon. Wea. Rev.,125, 3231–3248.

  • ——, P. J. Sousounis, J. Wallman, and G. E. Mann, 2000: Hurricane Huron. Bull. Amer. Meteor. Soc.,81, 223–236.

  • Pease, S. R., W. A. Lyons, C. S. Keen, and M. R. Hjelmfelt, 1988: Mesoscale spiral vortex embedded within a Lake Michigan snow squall band: High resolution satellite observations and numerical model simulations. Mon. Wea. Rev.,116, 1374–1380.

  • Rothrock, H. J., 1969: An aid in forecasting significant lake snows. National Weather Service Tech. Memo. WBTM CR-30, 12 pp. [Available from National Weather Service, Central Region Headquarters, Scientific Services Division, 601 E. 12th St., Kansas City, MO, 64106-2826.].

  • Saulesleja, A., 1986: Atlas Climatologique des Grands Lacs. Ministre des Approvisionnements et Services Canada, 145 pp.

  • Shapiro, M. A., L. S. Fedor, and T. Hampel, 1987: Research aircraft measurements of a polar low over the Norwegian Sea. Tellus,39A, 460–477.

  • Sousounis, P. J., 1997: Lake-aggregate mesoscale disturbances. Part III: Description of a mesoscale aggregate vortex. Mon. Wea. Rev.,125, 1111–1134.

  • ——, 1998: Lake-aggregate mesoscale disturbances. Part IV: Development of a mesoscale aggregate vortex. Mon. Wea. Rev.,126, 3169–3188.

  • ——, and J. M. Fritsch, 1994: Lake-aggregate mesoscale disturbances. Part II: A case study of the effects on regional and synoptic-scale weather systems. Bull. Amer. Meteor. Soc.,75, 1793–1811.

  • ——, and G. E. Mann, 2000: Lake-aggregate mesoscale disturbances. Part V: Impacts on lake-effect precipitation. Mon. Wea. Rev.,128, 728–745.

  • Warner, T. T., and N. L. Seaman, 1990: A real-time, mesoscale numerical weather-prediction system used for research, teaching, and public service at The Pennsylvania State University. Bull. Amer. Meteor. Soc.,71, 792–805.

  • Weiss, C. C., and P. J. Sousounis, 1999: A climatology of collective lake disturbances. Mon. Wea. Rev.,127, 565–574.

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