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Topographical effect of the Antarctic Peninsula on a strong wind event

Published online by Cambridge University Press:  20 October 2021

Hataek Kwon Open the ORCID record for Hataek Kwon [Opens in a new window] ,
Seong-Joong Kim ,
Sang-Woo Kim  and
Sinu Kim
Hataek Kwon
Affiliation:
School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
Seong-Joong Kim*
Affiliation:
Division of Polar Climate Sciences, Korea Polar Research Institute, Incheon, Republic of Korea
Sang-Woo Kim
Affiliation:
School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
Sinu Kim
Affiliation:
Weather Lab, Seoul, Republic of Korea
*
seongjkim@kopri.re.kr
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Abstract

The topographical effect on a strong wind event that occurred on 7 January 2013 at King Sejong Station (KSJ), Antarctica, was investigated using the Polar Weather Research and Forecasting (WRF) model. Numerical experiments applying three different terrain heights of the Antarctic Peninsula (AP) were performed to quantitatively estimate the topographical effect on the selected strong wind event. The experiment employing original AP topography successfully represented the observed features in the strong wind event, both in terms of peak wind speed (by ~94%; ~19.7 m/s) and abrupt transitions of wind speed. In contrast, the experiment with a flattened terrain height significantly underestimated the peak wind speeds (by ~51%; ~10.4 m/s) of the observations. An absence of AP topography failed to simulate both a strong discontinuity of sea-level pressure fields around the east coast of the AP and a strong south-easterly wind over the AP. As a result, the observed downslope windstorm, driven by a flow overriding a barrier, was not formed at the western side of the AP, resulting in no further enhancement of the wind at KSJ. This result demonstrates that the topography of the AP played a critical role in driving the strong wind event at KSJ on 7 January 2013, accounting for ~50% of the total wind speed.

Keywords

downslope windstormKing Sejong Stationpolar WRFtopography
Type
Physical Sciences
Information
Antarctic Science , Volume 33 , Issue 6 , December 2021 , pp. 674 - 684
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Copyright
Copyright © Antarctic Science Ltd 2021

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References

Bromwich, D.H., Otieno, F.O., Hines, K.M., Manning, K.W. & Shilo, E. 2013. Comprehensive evaluation of polar weather research and forecasting model performance in the Antarctic. Journal of Geophysical Research - Atmospheres, 118, 10.1029/2012JD018139.CrossRefGoogle Scholar
Chen, F. & Dudhia, J. 2001. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Monthly Weather Review, 129, 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2.Google Scholar
Chenoli, S.N., Turner, J. & Samah, A.A. 2015. A strong wind event on the Ross Ice Shelf, Antarctica: a case study of scale interactions. Monthly Weather Review, 143, 10.1175/MWR-D-15-0002.1.CrossRefGoogle Scholar
Grell, G.A. & Devenyi, D. 2002. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophysical Research Letters, 29, 10.1029/2002GL015311.CrossRefGoogle Scholar
Grosvenor, D.P., King, J.C., Choularton, T.W. & Lachlan-Cope, T. 2014. Downslope föhn winds over the Antarctic Peninsula and their effect on the Larsen ice shelves. Atmospheric Chemistry and Physics, 14, 10.5194/acp-14-9481-2014.Google 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, 10.1175/2007MWR2112.1.Google Scholar
Hong, S.Y., Dudhia, J. & Chen, S.H. 2003. A revised approach to ice-microphysical processes for the bulk parameterization of cloud and precipitation. Monthly Weather Review, 132, 10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2.Google Scholar
Iacono, M.J., Delamere, J.S., Mlawer, E.J., Shephard, M.W., Clough, S.A. & Collins, W.D. 2008. Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models. Journal of Geophysical Research, 113, 10.1029/2008JD009944.CrossRefGoogle Scholar
Janjić, Z.I. 1994. The step-mountain eta coordinate model: further developments of the convection, viscous sublayer and turbulence closure schemes. Monthly Weather Review, 122, 10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2.2.0.CO;2>CrossRefGoogle Scholar
Kwon, H., Park, S.-J., Lee, S., Kim, B.-M., Choi, T. & Kim, S.-J. 2019. A numerical simulation of a strong wind event in January 2013 at King Sejong Station, Antarctica. Quarterly Journal of the Royal Meteorological Society, 145, 10.1002/qj.3496.CrossRefGoogle Scholar
Monin, A.S. & Obukhov, A.M. 1954. Osnovnye zakonomernosti turbulentnogo peremeshivanija v prizemnom sloe atmosfery (Basic laws of turbulent mixing in the atmosphere near the ground). Trudy Geofiz, Instituta Akademii Nauk, SSSR, 24, 163–187.Google Scholar
Nigro, M.A., Cassano, J.J., Lazzara, M.A. & Keller, L.M. 2012. Case study of a barrier wind corner jet off the coast of the Prince Olav Mountains, Antarctica. Monthly Weather Review, 140, 10.1175/MWR-D-11-00261.1.CrossRefGoogle Scholar
O'Connor, W.P. & Bromwich, D.H. 1988. Surface airflow around Windless Bight, Ross Island, Antarctica. Quarterly Journal of the Royal Meteorological Society, 114, 917–938.Google Scholar
Orr, A., Phillips, T., Webster, S., Elvidge, A., Weeks, M., Hosking, S.J. & Turner, J. 2014. Met Office Unified Model high resolution simulations of a strong wind event in Antarctica. Quarterly Journal of the Royal Meteorological Society, 140, 10.1002/qj.2296.CrossRefGoogle Scholar
Parish, T.R. 1984. A numerical study of strong katabatic winds over Antarctica. Monthly Weather Review, 112, 545–554.2.0.CO;2>CrossRefGoogle Scholar
Parish, T.R. & Bromwich, D.H. 1998. A case study of Antarctic katabatic wind interaction with large-scale forcing. Monthly Weather Review, 126, 10.1175/1520-0493(1998)126<0199:ACSOAK>2.0.CO;2.2.0.CO;2>CrossRefGoogle Scholar
Parish, T.R. & Cassano, J.J. 2003. The role of katabatic winds on the Antarctic surface wind regime. Monthly Weather Review, 131, 317–333.2.0.CO;2>CrossRefGoogle Scholar
Parish, T.R. & Waight, K.T. 1987. The forcing of Antarctic katabatic winds. Monthly Weather Review, 115, 2214–2226.2.0.CO;2>CrossRefGoogle Scholar
Park, S.-J., Choi, T. & Kim, S.-J. 2013. Heat flux variations over sea ice observed at the coastal area of the Sejong Station, Antarctica. Asia-Pacific Journal of Atmospheric Sciences, 49, 10.1007/s13143-013-0040-z.CrossRefGoogle Scholar
Powers, J.G., Klemp, J.B., Skamarock, W.C., Davis, C.A., Dudhia, J., Gill, D.O., et al. 2017. The Weather Research and Forecasting model: overview, system efforts, and future directions. Bulletin of the American Meteorological Society, 98, 10.1175/BAMSD-15-00308.1.CrossRefGoogle Scholar
Simmonds, I. & Keay, K. 2000. Mean Southern Hemisphere extratropical cyclone behavior in the 40-year NCEP-NCAR reanalysis. Journal of Climate, 13, 10.1175/1520-0442(2000)013<0873:MSHECB>2.0.CO;2.2.0.CO;2>CrossRefGoogle Scholar
Steinhoff, D.F., Bromwich, D.H., Lambertson, 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, 10.1175/2007MWR1999.1.CrossRefGoogle Scholar
Turner, J., Chenoli, S.N., Samah, A.A., Marshall, G.J., Phillips, T. & Orr, A. 2009. Strong wind events in the Antarctic. Journal of Geophysical Research, 114, 10.1029/2008JD011642.CrossRefGoogle Scholar
Van den Broeke, M.R. & van Lipzig, N.P. 2003. Factors controlling the near surface wind field in Antarctica. Monthly Weather Review, 131, 10.1111/j.1600-0870.2010.00443x.2.0.CO;2>CrossRefGoogle Scholar