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SNOW-WEB: a new technology for Antarctic meteorological monitoring

Published online by Cambridge University Press:  22 February 2013

J.H.J. Coggins*
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
A.J. Mcdonald
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
G. Plank
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
M. Pannell
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
B. Jolly
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
S. Parsons
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
T. Delany
Affiliation:
Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand

Abstract

This study describes SNOW-WEB, a distributed system of atmospheric sensors, which is cost-effective and can be efficiently deployed in Antarctica. The system supports traditional atmospheric sensors and has built-in redundancy as many units can be deployed in a relatively small area for a similar cost to one conventional weather station. Furthermore, each unit is equipped with wireless mesh-networking capabilities and so is able to share information with those units in its direct vicinity. This allows for the ferrying of collected information to a manned observation station and hence the ability to monitor data in real-time. GPS hardware installed on each unit also allows for high-resolution glacier or ice shelf tracking. As a testing study, eighteen such weather stations were deployed in the vicinity of Scott Base, Ross Island, Antarctica over the 2011/12 summer season. This paper reports on the successful development and deployment of the system, results from the testing period and challenges encountered during the experiment. Collected data is validated against automatic weather stations already operating in the region and an intercomparison is performed between SNOW-WEB data and forecast output from the Antarctic Mesoscale Prediction System. A high degree of agreement is found between data sources. We conclude that SNOW-WEB data is suitable for use in studies of mesoscale meteorology.

Type
Physical Sciences
Copyright
Copyright © Antarctic Science Ltd 2013 

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References

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, 579603.CrossRefGoogle Scholar
Cogliani, E., Abbate, G.Racalbuto, S. 1996. Thermal, pressure and wind fields at ground level in the area of the Italian base at Terra Nova Bay, Victoria Land, Antarctica, as observed by a network of automatic weather stations. Annales Geophysicae-Atmospheres Hydrospheres and Space Sciences, 14, 10881094.Google Scholar
Doran, P.T., McKay, C.P., Clow, G.D., Dana, G.L., Fountain, A.G., Nylen, T.Lyons, W.B. 2002. Valley floor climate observations from the McMurdo Dry Valleys, Antarctica, 1986–2000. Journal of Geophysical Research, 10.1029/2001JD002045.CrossRefGoogle Scholar
Genthon, C., Six, D., Favier, V., Lazzara, M.Keller, L. 2011. Atmospheric temperature measurement biases on the Antarctic Plateau. Journal of Atmospheric and Oceanic Technology, 28, 15981605.CrossRefGoogle Scholar
Harangozo, S.A., Colwell, S.R.King, J.C. 1997. An analysis of a 34-year air temperature record from Fossil Bluff (71°S, 68°W), Antarctica. Antarctic Science, 9, 355363.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, 19711989.CrossRefGoogle Scholar
Holmes, R.E., Stearns, C.R., Weidner, G.A.Keller, L.M. 2000. Utilization of automatic weather station data for forecasting high wind speeds at Pegasus Runway, Antarctica. Weather and Forecasting, 15, 137151.2.0.CO;2>CrossRefGoogle Scholar
Jacka, T.H., Budd, W.F.Holder, A. 2004. A further assessment of surface temperature changes at stations in the Antarctic and Southern Ocean, 1949–2002. Annals of Glaciology, 39, 331338.CrossRefGoogle Scholar
Lazzara, M.A., Weidner, G.A., Keller, L.M., Thom, J.E.Cassano, J.J. 2012. Antarctic Automatic Weather Station Program: 30 years of polar observations. Bulletin of the American Meteorological Society, 93, 15191537.CrossRefGoogle Scholar
Liu, H., Jezek, K., Li, B.Zhao, Z. 2001. Radarsat Antarctic Mapping Project digital elevation model version 2. Boulder, CO: National Snow and Ice Data Center, digital media.Google Scholar
Monaghan, A.J., Bromwich, D.H., Powers, J.G.Manning, K.W. 2005. The climate of the McMurdo, Antarctica, region as represented by one year of forecasts from the Antarctic Mesoscale Prediction System. Journal of Climate, 18, 11741189.CrossRefGoogle Scholar
Nigro, M.A., Cassano, J.J.Seefeldt, M.W. 2011. A weather-pattern-based approach to evaluate the Antarctic Mesoscale Prediction System (AMPS) forecasts: comparison to automatic weather station observations. Weather and Forecasting, 26, 184198.CrossRefGoogle Scholar
Nylen, T.H., Fountain, A.G.Doran, P.T. 2004. Climatology of katabatic winds in the McMurdo Dry Valleys, southern Victoria Land, Antarctica. Journal of Geophysical Research-Atmospheres, 10.1029/2003JD003937.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, 917938.Google Scholar
O'Connor, W.P., Bromwich, D.H.Carrasco, J.F. 1994. Cyclonically forced barrier winds along the Transantarctic Mountains near Ross Island. Monthly Weather Review, 122, 137150.2.0.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-Atmospheres, 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, 31343157.CrossRefGoogle Scholar
Powers, J.G., Monaghan, A.J., Cayette, A.M., Bromwich, D.H., Kuo, Y.H.Manning, K.W. 2003. Real-time mesoscale modeling over Antarctica: the Antarctic Mesoscale Prediction System. Bulletin of the American Meteorological Society, 84, 15331545.CrossRefGoogle Scholar
Preisendorfer, R. 1988. Principal component analysis in meteorology and oceanography. Amsterdam: Elsevier, 425 pp.Google Scholar
Schwerdtfeger, W. 1984. Weather and climate of the Antarctic. Amsterdam: Elsevier, 262 pp.Google Scholar
Seefeldt, M.W.Cassano, J.J. 2008. An analysis of low-level jets in the greater Ross Ice Shelf region based on numerical simulations. Monthly Weather Review, 136, 41884205.CrossRefGoogle Scholar
Seefeldt, M.W.Cassano, J.J. 2012. A description of the Ross Ice Shelf air stream (RAS) through the use of self-organizing maps (SOMs). Journal of Geophysical Research-Atmospheres, 10.1029/2011JD016857.CrossRefGoogle Scholar
Seefeldt, M.W., Cassano, J.J.Parish, T.R. 2007. Dominant regimes of the Ross Ice Shelf surface wind field during austral autumn 2005. Journal of Applied Meteorology and Climatology, 46, 19331955.CrossRefGoogle Scholar
Seefeldt, M.W., Tripoli, G.J.Stearns, C.R. 2003. A high-resolution numerical simulation of the wind flow in the Ross Island region, Antarctica. Monthly Weather Review, 131, 435458.2.0.CO;2>CrossRefGoogle Scholar
Shuman, C.A.Stearns, C.R. 2001. Decadal-length composite inland West Antarctic temperature records. Journal of Climate, 14, 19771988.2.0.CO;2>CrossRefGoogle Scholar
Stearns, C.R.Wendler, G. 1988. Research results from Antarctic automatic weather stations. Reviews of Geophysics, 26, 4561.CrossRefGoogle Scholar
Steig, E.J., Schneider, D.P., Rutherford, S.D., Mann, M.E., Comiso, J.C.Shindell, D.T. 2009. Warming of the Antarctic ice-sheet surface since the 1957 International Geophysical Year. Nature, 460, 457462.CrossRefGoogle Scholar
Steinhoff, D.F., Chaudhuri, S.Bromwich, D.H. 2009. A case study of a Ross Ice Shelf airstream event: a new perspective. Monthly Weather Review, 137, 40304046.CrossRefGoogle Scholar
Yu, L.J., Zhang, Z.H., Zhou, M.Y., Zhong, S.Y., Lenschow, D., Hsu, H.M., Wu, H.D.Sun, B. 2010. Validation of ECMWF and NCEP-NCAR reanalysis data in Antarctica. Advances in Atmospheric Sciences, 27, 11511168.CrossRefGoogle Scholar
Zawar-Reza, P., George, S., Storey, B.Lawson, W. 2010. Summertime boundary layer winds over the Darwin-Hatherton glacial system, Antarctica: observed features and numerical analysis. Antarctic Science, 22, 619632.CrossRefGoogle Scholar
Zhou, M.Y.et al. 2009. Observations of near-surface wind and temperature structures and their variations with topography and latitude in East Antarctica. Journal of Geophysical Research, 1029/2008JD011611.CrossRefGoogle Scholar