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Relationship between sea ice concentration and sea ice albedo over Antarctica

  • Seo, Minji (Department of Spatial Information Engineering, Pukyong National University) ;
  • Lee, Chang Suk (Department of Spatial Information Engineering, Pukyong National University) ;
  • Kim, Hyunji (Department of Spatial Information Engineering, Pukyong National University) ;
  • Huh, Morang (Department of Spatial Information Engineering, Pukyong National University) ;
  • Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University)
  • 투고 : 2015.08.18
  • 심사 : 2015.08.24
  • 발행 : 2015.08.31

초록

Sea ice is a key parameter for understanding the climate change in cryosphere. In this study, we investigated the correlation with the factors that influenced change of the sea ice extent. We used the Sea Ice Concentration (SIC) from Ocean and Sea Ice Satellite Application Facility (OSI-SAF), and surface albedo provided by The Satellite Application Facility on Climate Monitoring (CM SAF). We converted the same temporal and spatial resolution of the data and detected the sea ice using SIC data. We performed the relationship analysis between SIC and sea ice albedo. As a result, we found they have a strong positive correlation. We performed the linear regression between SIC and sea ice albedo, and found they have high-level coefficient of determination. It shows using either SIC or sea ice albedo is possible to estimate the sea ice products.

키워드

참고문헌

  1. Allison, I., E.R.E. Brandt, and S.G. Warren, 1993. Albedo, Thickness Distribution, and Snow Cover, Journal of Geophysical Research, 98(C7): 12-417.
  2. Cavalieri, D.J. and C.L. Parkinson, 2008. Antarctic sea ice variability and trends, 1979-2006, Journal of Geophysical Research: Oceans, 113(C7): C07003
  3. CM SAF, 2012, CM SAF Cloud, Albedo, Radiation dataset, AVHRR-based, Edition 1 (CLARA-A1) Surface Albedo Product User Manual.
  4. Comiso, J.C., C.L. Parkinson, R. Gersten, and L, Strock, 2008, Accelerated decline in the Arctic sea ice cover, Geophysical Research Letters, 35(1): L01703 https://doi.org/10.1029/2007GL031972
  5. Donlon, C.J., M. Martin, J. Stark, J. Roberts-Jones, E. Fiedler, and W. Wimmer, 2012. The operational sea surface temperature and sea ice analysis (OSTIA) system, Remote Sensing of Environment, 116: 140-158. https://doi.org/10.1016/j.rse.2010.10.017
  6. King, J., 2014. Climate science: A resolution of the Antarctic paradox, Nature 505(7484): 491-492. https://doi.org/10.1038/505491a
  7. Laine, V., 2008. Antarctic ice sheet and sea ice regional albedo and temperature change, 1982-2000, from AVHRR Polar Pathfinder data, Remote Sensing of Environment 112(3): 646-667 https://doi.org/10.1016/j.rse.2007.06.005
  8. Liu, J., J.A. Curry, and D.G. Martinson, 2004. Interpretation of recent Antarctic sea ice variability, Geophysical Research Letters, 31(2): L02205 https://doi.org/10.1029/2003GL018732
  9. National Center for Atmospheric Research Staff (Eds). 2013. The Climate Data Guide: Sea Ice Concentration data: Overview, Comparison table and graphs. https://climatedataguide.ucar.edu/climate-data/sea-ice-concentrationdata-overview-comparison-table-and-graphs.
  10. Nicolaus, M., C. Katlein, J. Maslanik, and S. Hendricks, 2012. Changes in Arctic sea ice result in increasing light transmittance and absorption, Geophysical Research Letters, 39(24): L24501
  11. Ocean and Sea ice Satellite application Facility (OSISAF), 2015, Global Sea Ice Concentration Reprocessing Product User Manual.
  12. Rignot, E., J.L. Bamber, M.R. Van Den Broeke, C. Davis, Y. Li, W.J. Van De Berg, and E. Van Meijgaard, 2008. Recent Antarctic ice mass loss from radar interferometry and regional climate modelling, Nature Geoscience, 1(2): 106-110. https://doi.org/10.1038/ngeo102
  13. Schaaf, C.B., 2009. ALBEDO albedo and reflectance anisotropy, Global Terrestrial Observing System, Rome.
  14. Simpkins, G.R, L.M. Ciasto, and M.H. England, 2013. Observed variations in multidecadal Antarctic sea ice trends during 1979-2012, Geophysical Research Letters, 40(14): 3643-3648. https://doi.org/10.1002/grl.50715
  15. Stark, J.D., C.J. Donlon, M.J. Martin, and M.E. McCulloch, 2007. OSTIA: An operational, high resolution, real time, global sea surface temperature analysis system, Proc. of Oceans 2007- Europe, Aberdeen, Scotland, Jun. 18-21, IEEE: 1-4
  16. Stroeve, J., M.M. Holland, W. Meier, T. Scambos, and M. Serreze, 2007. Arctic sea ice decline: Faster than forecast, Geophys. Res. Lett., 34: L09501
  17. Zatko, M.C. and S.G. Warren, 2015. East Antarctic sea ice in spring: spectral albedo of snow, nilas, frost flowers and slush, and light-absorbing impurities in snow, Annals of Glaciology, 56(69): 53. https://doi.org/10.3189/2015AoG69A574

피인용 문헌

  1. Long-Term Variability of Surface Albedo and Its Correlation with Climatic Variables over Antarctica vol.8, pp.12, 2016, https://doi.org/10.3390/rs8120981
  2. 한국의 극지 원격탐사 vol.34, pp.6, 2018, https://doi.org/10.7780/kjrs.2018.34.6.2.1
  3. 북극해 지역의 위성 기반 복사 에너지 산출물의 비교 분석 vol.34, pp.6, 2015, https://doi.org/10.7780/kjrs.2018.34.6.2.4