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Net radiation and turbulent energy exchanges over a non-glaciated coastal area on King George Island during four summer seasons

Published online by Cambridge University Press:  27 November 2007

Taejin Choi ,
Bang Yong Lee ,
Seong-Joong Kim ,
Young Jun Yoon  and
Hee-Choon Lee
Taejin Choi
Affiliation:
Korea Polar Research Institute, KORDI, Songdo-dong, Yeonsu-gu, Incheon 406-840, Korea
Bang Yong Lee*
Affiliation:
Korea Polar Research Institute, KORDI, Songdo-dong, Yeonsu-gu, Incheon 406-840, Korea
Seong-Joong Kim
Affiliation:
Korea Polar Research Institute, KORDI, Songdo-dong, Yeonsu-gu, Incheon 406-840, Korea
Young Jun Yoon
Affiliation:
Korea Polar Research Institute, KORDI, Songdo-dong, Yeonsu-gu, Incheon 406-840, Korea
Hee-Choon Lee
Affiliation:
Forecast Research Laboratory, METRI, KMA, 460-18, Shindaebang-dong, Dongjak-gu, Seoul, 156-720Korea
*
*Corresponding author:bylee@kopri.re.kr
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Abstract

Recently, the Antarctic Peninsula has received more attention due to the pronounced warming in that region. Non-glaciated coastal areas on the Peninsula can be significant energy sources for the atmosphere when they are exposed during summer despite the high degree of cloud associated with the frequent passage of low pressure systems. An eddy covariance system was established in December 2002 to evaluate the turbulent energy exchanges between the atmosphere and a non-glaciated coastal area on King George Island. Monthly average downward shortwave radiation was less than 210 Wm-2 in summer. Due to the low albedo of 0.12, monthly average net radiation reached > 130 Wm-2, a magnitude that was significantly larger than the reported magnitudes of < ~70 Wm-2 at glaciated areas with a high albedo on the Peninsula. The sum of monthly average sensible heat (< 64 Wm-2) and latent heat (< 20 Wm-2) fluxes amounted up to ~80 Wm-2, which was an order of magnitude larger than those at glaciated areas on the Antarctic Peninsula. Given that non-glaciated areas should be enlarged if the warming continues, more attention may need to be paid to the role of non-glaciated areas in the local climate to predict climate change on the Antarctic Peninsula.

Keywords

Antarctic Peninsulaeddy covariancenet radiationturbulent energy fluxes
Type
Physical Sciences
Information
Antarctic Science , Volume 20 , Issue 1 , February 2008 , pp. 99 - 112
Copyright
Copyright © Antarctic Science Ltd 2008

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References

Bintanja, R. 1995. The local surface energy balance of the Ecology Glacier, King George Island, Antarctica: measurements and modelling. Antarctic Science, 7, 315–325.Google Scholar
Bintanja, R. 2000. Surface heat budget of Antarctic snow and blue ice: interpretation of spatial and temporal variability. Journal of Geophysical Research, 105, 24 387–24 407.CrossRefGoogle Scholar
Braun, M., Saurer, H., Vogt, S., Simões, J.C. & Goßmann, H. 2001. The influence of large-scale atmospheric circulation on the surface energy balance of the King George Island ice cap. International Journal of Climatology, 21, 21–36.Google Scholar
Choi, T., Lee, B.-Y., Lee, H.-C. & Shim, J.-S. 2004. Surface flux measurements at King Sejong Station in West Antarctica. I. Turbulent characteristics and sensible heat flux. Ocean and Polar Research, 26, 453–463.Google Scholar
Falge, E., Baldocchi, D., Olson, R., Anthoni, P., Aubinet, M., Bernhofer, C., Burba, G., Ceulemans, R., Clement, R., Dolman, H., Granier, A., Gross, P., Grünwald, T., Hollinger, D., Jensen, N.-O., Katulm, G., Keronen, P., Kowalski, A., Lai, C.T., Law, B.E., Meyers, T., Moncrieff, J., Moors, E., Munger, J.W., Pilegaard, K., Rannik, U¨., Rebmann, C., Suyker, A., Tenhunen, J., Tu, K., Verma, S., Vesala, T., Wilson, K. & Wofsy, S. 2001. Gap filling strategies for long term energy flux datasets. Agricultural and Forest Meteorology, 107, 71–77.CrossRefGoogle Scholar
Finnigan, J.J., Clement, R., Malhi, Y., Leuning, R. & Cleugh, H.A. 2003. A re-evaluation of long-term flux measurement technique. Part I: Averaging and coordinate rotation. Boundary-Layer Meteorology, 107, 1–48.CrossRefGoogle Scholar
Fox, A.J. & Cooper, A.P.R. 1998. Climate-change indicators from archival aerial photography of the Antarctic Peninsula. Annals of Glaciology, 27, 636–642CrossRefGoogle Scholar
Kaimal, J.C. & Finnigan, J. 1994. Atmospheric boundary layer flows: their structure and measurement. New York: Oxford University Press, 289 pp.CrossRefGoogle Scholar
King, J.C. & Harangozo, S.A. 1998. Climate change in the western Antarctic Peninsula since 1945: observations and possible causes. Annals of Glaciology, 27, 571–575.Google Scholar
Lee, J.-S., Kwon, T.-Y., Lee, B.-Y., Yoon, H.-I. & Kim, J.-W. 2003. Change of regional atmospheric circulation related with recent warming in the Antarctic Peninsula. Ocean and Polar Research, 25, 503–518.CrossRefGoogle Scholar
Monteith, J.L. & Unsworth, M.H. 1990. Principles of environmental physics, 2nd ed.New York: Edward Arnold, 291 pp.Google Scholar
Paw, U.K.T., Baldocchi, D., Meyers, T.P. & Wilson, K.B. 2000. Correction of eddy covariance measurements incorporating both advective effects and density fluxes. Boundary-Layer Meteorology, 97, 487–511.Google Scholar
Reeijmer, C.H. & Oerlemans, J. 2002. Temporal and spatial variability of the surface energy balance in Dronning Maud Land, East Antarctica. Journal of Geophysical Research, 107, 4759–4770.Google Scholar
Schneider, C. 1999. Energy balance estimates during the summer season of glaciers of the Antarctic Peninsula. Global and Planetary Change, 22, 117–130.CrossRefGoogle Scholar
Schafer, J.L. 1999. NORM: Multiple imputation of incomplete multivariate data under a normal model, version 2. Software for Windows 95/98/NT, available from http://www.stat.psu.edu/~jls/misoftwa.html.Google Scholar
Swinbank, W. 1951. The measurement of vertical transfer of heat, water vapor and momentum in the lower atmosphere with some results, Journal of Meteorology, 8, 135–145.2.0.CO;2>CrossRefGoogle Scholar
Thomas, R., Rignot, E., Casassa, G., Kanagaratnam, P., Acuña, C., Akins, T., Brecher, H., Frederick, E., Gogineni, P., Krabill, W., Manizade, S., Ramamoorthy, H., Rivera, A., Russell, R., Sonntag, J., Swift, R., Yungel, J. & Zwally, J. 2004. Accelerated sea level rise from West Antarctica. Science, 306, 255–258.Google Scholar
Turner, J., Colwell, S., Marshall, G., Lachlan-Cope, T., Carleton, A., Jones, P., Lagun, V., Reid, P. & Iagovkinaf, S. 2005. Antarctic climate change during the last 50 years. International Journal of Climatology, 25: 279–294.Google Scholar
Vaughan, D., Marshall, G., Connolley, W., King, J. & Mulvaney, R. 2001. Climate change: devil in the detail. Science, 293, 1777–1779.Google Scholar
Van As, D., Van den Broeke, M., Reijmer, C. & Van de Wal, R. 2005a. The summer surface energy balance of the high Antarctic plateau. Boundary-Layer Meteorology, 115, 289–317.Google Scholar
Van As, D., Van den Broeke, M. & Van de Wal, R 2005b. Daily cycle of the surface layer and energy balance on the high Antarctic Plateau. Antarctic Science, 17, 121–133.Google Scholar
Van den Broeke, M., Reijmer, C. & Van de Wal, R. 2004. Surface radiation balance in Antarctica as measured with automatic weather station. Journal of Geophysical Research, 109, D09103.Google Scholar
Van den Broeke, M., Van As, D., Reijmer, C. & Van de Wal, R. 2005. Sensible heat exchange at the Antarctic snow surface: a case study with automatic weather stations. International Journal of Climatology, 25, 1081–1101.Google Scholar
Webb, E.K., Perman, G.I. & Leuning, R. 1980. Correction of flux measurements for density effects due to heat and water transfer. Quarterly Journal of Royal Meteorology Society, 106, 86–100.CrossRefGoogle Scholar
Wilczak, J.M., Oncley, S.P. & Sage, S.A. 2001. Sonic anemometer tilt correction algorithms. Boundary-Layer Meteorology, 99, 127–150.Google Scholar