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Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery

Published online by Cambridge University Press:  17 October 2011

Melissa A. Nigro ,
John J. Cassano  and
Shelley L. Knuth
Melissa A. Nigro*
Affiliation:
Department of Atmospheric and Oceanic Sciences, Co-operative Institute for Research in Environmental Sciences, University of Colorado, 216 UCB, Boulder, CO 80309, USA
John J. Cassano
Affiliation:
Department of Atmospheric and Oceanic Sciences, Co-operative Institute for Research in Environmental Sciences, University of Colorado, 216 UCB, Boulder, CO 80309, USA
Shelley L. Knuth
Affiliation:
Department of Atmospheric and Oceanic Sciences, Co-operative Institute for Research in Environmental Sciences, University of Colorado, 216 UCB, Boulder, CO 80309, USA
*
melissa.nigro@colorado.edu
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Abstract

The Antarctic coast is an area of high cyclonic activity. Specifically, the regions of Terra Nova Bay, in the western Ross Sea, and Byrd Glacier, in the western Ross Ice Shelf, are prone to cyclone development. The United States, New Zealand, and Italian Antarctic programmes conduct extensive research activities in the region of the western Ross Sea. Due to the harsh weather conditions associated with the cyclonic systems that occur in this region and the abundant research activities in the area, it is important to be able to accurately predict the timing, location and strength of cyclones in this sector of Antarctica. This study evaluates the ability of the Antarctic Mesoscale Prediction System (from 2006–09) to accurately forecast cyclones in the region of the western Ross Sea by comparing the Antarctic Mesoscale Prediction System forecasts to cyclones identified in infrared satellite imagery. The results indicate that the Antarctic Mesoscale Prediction System is able to accurately predict the presence of cyclones about 40% of the time (at a minimum) and the presence of no cyclones about 70% of the time.

Keywords

cyclone forecastingmodel evaluationremote sensingRoss Sea sectorWeather Research and Forecasting (WRF) model
Type
Physical Sciences
Information
Antarctic Science , Volume 24 , Issue 2 , 28 February 2012 , pp. 183 - 192
Copyright
Copyright © Antarctic Science Ltd 2011

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References

Bromwich, D.H. 1991. Mesoscale cyclogenesis over the southwestern Ross Sea linked to strong katabatic winds. Monthly Weather Review, 119, 1736–1753.2.0.CO;2>CrossRefGoogle Scholar
Bromwich, D.H., Hines, K.M.Bai, L.-S. 2009. Development and testing of polar Weather Research and Forecasting model: 2. Arctic Ocean. Journal of Geophysical Research, 114, 10.1029/2008JD010300.CrossRefGoogle Scholar
Bromwich, D.H., Monaghan, A.J., Manning, K.W.Powers, J.G. 2005. Real-time forecasting for the Antarctic: an evaluation of the Antarctic Mesoscale Prediction System (AMPS). Monthly Weather Review, 133, 579–603.CrossRefGoogle Scholar
Bromwich, D.H., Monaghan, A.J., Powers, J.G., Cassano, J.J., Wei, H., Kuo, Y.K.Pellegrini, A. 2003. Antarctic Mesoscale Prediction System (AMPS): a case study from the 2000–01 field season. Monthly Weather Review, 131, 412–434.2.0.CO;2>CrossRefGoogle Scholar
Cai, W., Baines, P.G.Gordon, H.B. 1999. Southern mid- to high latitude variability, a zonal Wavenumber-3 pattern, and the Antarctic Circumpolar Wave in the CSIRO coupled model. Journal of Climate, 12, 3087–3104.2.0.CO;2>CrossRefGoogle Scholar
Carleton, A.M.Fitch, M. 1993. Synoptic aspects of Antarctic mesocyclones. Journal of Geophysical Research, 98, 12 997–13 018.CrossRefGoogle Scholar
Carrasco, J.F.Bromwich, D.H. 1993. Mesoscale cyclogenesis dynamics over the southwestern Ross Sea, Antarctica. Journal of Geophysical Research, 98, 12 973–12 995.CrossRefGoogle Scholar
Carrasco, J.F.Bromwich, D.H. 1994. Climatological aspects of mesoscale cyclogenesis over the Ross Sea and Ross Ice Shelf regions of Antarctica. Monthly Weather Review, 122, 2405–2425.2.0.CO;2>CrossRefGoogle Scholar
Carrasco, J.F., Bromwich, D.H.Monaghan, A.J. 2003. Distribution and characteristics of mesoscale cyclones in the Antarctic: Ross Sea eastward to the Weddell Sea. Monthly Weather Review, 131, 289–301.2.0.CO;2>CrossRefGoogle Scholar
Cassano, J.J., Maslanik, J.A., Zappa, C.J., Gordon, A.L., Cullather, R.I.Knuth, S.L. 2010. Observations of Antarctic polynya with unmanned aircraft systems. EOS Transactions, 91, 245, 10.1029/2010EO280001.CrossRefGoogle Scholar
Heinemann, G. 1990. Mesoscale vortices in the Weddell Sea region (Antarctica). Monthly Weather Review, 118, 779–793.2.0.CO;2>CrossRefGoogle Scholar
Hines, K.M.Bromwich, D.H. 2008. Development and testing of polar Weather Research and Forecasting (WRF) model. Part I: Greenland ice sheet meteorology. Monthly Weather Review, 136, 1971–1989.CrossRefGoogle Scholar
Hines, K.M., Bromwich, D.H., Bai, L.-S., Barlage, M.Slater, A.G. 2011. Development and testing of polar WRF. Part III. Arctic land. Journal of Climate, 24, 26–48.CrossRefGoogle Scholar
Jones, D.A.Simmonds, I. 1993. A climatology of Southern Hemisphere extratropical cyclones. Climate Dynamics, 9, 131–145.CrossRefGoogle Scholar
King, J.C.Turner, J. 1997. Antarctic meteorology and climatology. Cambridge: Cambridge University Press, 409 pp.CrossRefGoogle Scholar
Knuth, S.L.Cassano, J.J. 2011. An analysis of near-surface winds, air temperature, and cyclone activity in Terra Nova Bay Antarctica from 1993–2009. Journal of Applied Meteorology and Climatology, 50, 660–682.CrossRefGoogle Scholar
Lamb, H.H.Britton, G.P. 1955. General atmospheric circulation and weather variations in the Antarctic. The Geographical Journal, 121, 334–349.CrossRefGoogle Scholar
Mo, K.C.White, G.H. 1985. Teleconnections in the Southern Hemisphere. Monthly Weather Review, 113, 22–37.2.0.CO;2>CrossRefGoogle Scholar
Parish, T.R., Cassano, J.J.Seefeldt, M.W. 2006. Characteristics of the Ross Ice Shelf air stream as depicted in Antarctic Mesoscale Prediction System simulations. Journal of Geophysical Research, 111, 10.1029/2005JD006185.CrossRefGoogle Scholar
Powers, J.G. 2007. Numerical prediction of an Antarctic severe wind event with the Weather Research and Forecasting (WRF) Model. Monthly Weather Review, 135, 3134–3157.CrossRefGoogle Scholar
Powers, J.G., Monaghan, A.J., Cayette, A.M., Bromwich, D.H., Kuo, Y.Manning, K.W. 2003. Real-time mesoscale modeling over Antarctica: the Antarctic Mesoscale Prediction System. Bulletin of the American Meteorological Society, 84, 1533–1545.CrossRefGoogle Scholar
Simmonds, I.Keay, K. 2000. Mean Southern Hemisphere extratropical cyclone behaviour in the 40-year NCEP-NCAR reanalysis. Journal of Climate, 13, 873–885.2.0.CO;2>CrossRefGoogle Scholar
Simmonds, I., Keay, K.Lim, E. 2003. Synoptic activity in the seas around Antarctica. Monthly Weather Review, 131, 272–288.2.0.CO;2>CrossRefGoogle Scholar
Steinhoff, D.F., Bromwich, D.H., Lamberston, M., Knuth, S.L.Lazzara, M.A. 2008. A dynamical investigation of the May 2004 McMurdo Antarctica severe wind event using AMPS. Monthly Weather Review, 136, 7–26.CrossRefGoogle Scholar
Turner, J.T., Marshall, G.J.Lachlan-Cope, T.A. 1998. Analysis of synoptic-scale low pressure systems within the Antarctic Peninsula sector of the circumpolar trough. International Journal of Climatology, 18, 253–280.3.0.CO;2-3>CrossRefGoogle Scholar
Uotila, P., Pezza, A.B., Cassano, J.J., Keay, K.Lynch, A.H. 2009. A comparison of low pressure system statistics derived from a high-resolution NWP output and three reanalysis products over the Southern Ocean. Journal of Geophysical Research, 114, 10.1029/2008JD011583.CrossRefGoogle Scholar