Multi-temporal variation of the Ross Sea Polynya in response to climate forcings

References

• Arrigo K.R. & Van Dijken G.L. 2003a. Phytoplankton dynamics within 37 Antarctic coastal polynya systems. Journal of Geophysical Research—Oceans 108, article no. 3271, doi: 10.1029/2002JC001739.
   Web of Science ®Google Scholar
• Arrigo K.R. & Van Dijken G.L. 2003b. Impact of iceberg C‐19 on Ross Sea primary production. Geophysical Research Letters 30, article no. 1836, doi: 10.1029/2003GL017721.
   Web of Science ®Google Scholar
• Arrigo K.R., Van Dijken G.L., Ainley D.G., Fahnestock M.A. & Markus T. 2002. Ecological impact of a large Antarctic iceberg. Geophysical Research Letters 29, article no. 1104, doi: 10.1029/2001GL014160.
   Web of Science ®Google Scholar
• Arrigo K.R., Weiss A.M. & Smith W.O. 1998. Physical forcing of phytoplankton dynamics in the southwestern Ross Sea. Journal of Geophysical Research—Oceans 103, 1007–13.
   Web of Science ®Google Scholar
• Bromwich D., Liu Z., Rogers A.N. & Van Woert M.L. 1998. Winter atmospheric forcing of the Ross Sea polynya. In S.S. Jacobs & R.F. Weiss (eds.): Ocean, ice, and atmosphere: interactions at the Antarctic continental margin. Pp. 101–133. Washington, DC: American Geophysical Union.
   Google Scholar
• Capparelli V., Franzke C., Vecchio A., Freeman M.P., Watkins N.W. & Carbone V. 2013. A spatiotemporal analysis of US station temperature trends over the last century. Journal of Geophysical Research—Atmospheres 118, 7427–7434.
   Web of Science ®Google Scholar
• Cavalieri D., Parkinson C., Gloersen P. & Zwally H.J. 1996. Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data, version 1 (1988-2014). Boulder, CO: NASA National Snow and Ice Data Center Distributed Active Archive Center. Accessed on the internet at http://nsidc.org/data/nsidc-0051 on 15 January 2015, doi: 10.5067/8GQ8LZQVL0VL.
   Google Scholar
• Comiso J.C. & Gordon A.L. 1998. Inter-annual variability in summer sea ice minimum, coastal polynyas and bottom water formation in the Weddell Sea. In M.O. Jeffries (ed): Antarctic sea ice: physical processes, interactions and variability. Pp. 293–315. Washington DC: American Geophysical Union.
   Google Scholar
• Comiso J.C., Kwok R., Martin S. & Gordon A.L. 2011. Variability and trends in sea ice extent and ice production in the Ross Sea. Journal of Geophysical Research—Oceans 116, article no. 04021, doi: 10.1029/2010JC006391.
   Web of Science ®Google Scholar
• Drucker R., Martin S. & Kwok R. 2011. Sea ice production and export from coastal polynyas in the Weddell and Ross seas. Geophysical Research Letters 38, L17502, doi: 10.1029/2011GL048668.
   Web of Science ®Google Scholar
• Ezer T. & Corlett W.B. 2012. Is sea level rise accelerating in the Chesapeake Bay? A demonstration of a novel new approach for analyzing sea level data. Geophysical Research Letters 39, L19605, doi: 10.1029/2012GL053435.
   Web of Science ®Google Scholar
• Franzke C. 2012. Nonlinear trends, long-range dependence, and climate noise properties of surface temperature. Journal of Climate 25, 4172–4183.
   Web of Science ®Google Scholar
• Huang N.E., Shen Z., Long S.R., Wu M.L.C., Shih H.H., Zheng Q.N., Yen N.C., Tung C.C. & Liu H.H. 1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society London Series A 454, 903–995.
   Web of Science ®Google Scholar
• Jacobs S.S. 2004. Bottom water production and its links with the thermohaline circulation. Antarctic Science 16, 427–437.
   Web of Science ®Google Scholar
• Jacobs S.S. & Comiso J.C. 1989. Sea ice and oceanic processes on the Ross Sea continental shelf. Journal of Geophysical Research—Oceans 94, 18195–18211.
   Web of Science ®Google Scholar
• Jo Y.H., Breaker L.C., Tseng Y.H. & Yeh S.W. 2014. A temporal multiscale analysis of the waters off the east coast of South Korea over the past four decades. Terrestrial, Atmospheric and Oceanic Sciences 24, 415–434.
   Google Scholar
• Jo Y.H., Kim H.C., Son S. & Kim D. 2016. Analysis of the timing of phase changes in the chlorophyll concentration in the East/Japan Sea. Continental Shelf Research 127, 1–11.
   Web of Science ®Google Scholar
• Kalnay E., Kanamitsu M., Kistler R., Collins W., Deaven D., Gandin L. & Zhu Y. 1996. The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society 77, 437–471.
   Web of Science ®Google Scholar
• Kistler R., Collins W., Saha S., White G., Woollen J., Kalnay E. & Van Den Dool H. 2001. The NCEP–NCAR 50–year reanalysis: monthly means CD–ROM and documentation. Bulletin of the American Meteorological Society 82, 247–267.
   Web of Science ®Google Scholar
• Kohyama T. & Hartmann D.L. 2016. Antarctic sea ice response to weather and climate modes of variability. Journal of Climate 29, 721–741.
   Web of Science ®Google Scholar
• Kwok R. & Comiso J.C. 2002. Spatial patterns of variability in Antarctic surface temperature: connections to the Southern Hemisphere annular mode and the Southern Oscillation. Geophysical Research Letters 29, article no. 1705, doi: 10.1029/2002GL015415.
   Web of Science ®Google Scholar
• Ledley T.S. & Huang Z. 1997. A possible ENSO signal in the Ross Sea. Geophysical Research Letters 24, 3253–3256.
   Web of Science ®Google Scholar
• Lee H.S. 2013. Estimation of extreme sea levels along the Bangladesh coast due to storm surge and sea level rise using EEMD and EVA. Journal of Geophysical Research—Oceans 118, 4273–4285.
   Web of Science ®Google Scholar
• Liu J., Curry J.A. & Martinson D.G. 2004. Interpretation of recent Antarctic sea ice variability. Geophysical Research Letters 31, L02205, doi: 10.1029/2003GL018732.
   Web of Science ®Google Scholar
• Markle B.R., Bertler N.A.N., Sinclair K.E. & Sneed S.B. 2012. Synoptic variability in the Ross Sea region, Antarctica, as seen from back‐trajectory modeling and ice core analysis. Journal of Geophysical Research—Atmospheres 117, D02113, doi: 10.1029/2011JD016437.
   Web of Science ®Google Scholar
• Martin S., Drucker R.S. & Kwok R. 2007. The areas and ice production of the western and central Ross Sea polynyas, 1992–2002, and their relation to the B-15 and C-19 iceberg events of 2000 and 2002. Journal of Marine Systems 68, 201–214.
   Web of Science ®Google Scholar
• Matear R.J., O’Kane T.J., Risbey J.S. & Chamberlain M. 2015. Sources of heterogeneous variability and trends in Antarctic sea-ice. Nature Communications 6, article no. 8656, doi: 10.1038/ncomms9656.
   Web of Science ®Google Scholar
• Montes‐Hugo M.A. & Yuan X. 2012. Climate patterns and phytoplankton dynamics in Antarctic latent heat polynyas. Journal of Geophysical Research—Oceans 117, C05031, doi: 10.1029/2010JC006597.
   Web of Science ®Google Scholar
• Mudelsee M. 2010. Climate time series analysis: classical statistical and bootstrap methods. Dordrecht: Springer.
   Google Scholar
• Nihashi S. & Ohshima K.I. 2015. Circumpolar mapping of Antarctic coastal polynyas and landfast sea ice: relationship and variability. Journal of Climate 28, 3650–3670.
   Web of Science ®Google Scholar
• NSIDC 2015. Geocoordinate and pixel-area tools. Accessed on the internet at https://nsidc.org/data/polar-stereo/tools_geo_pixel.html on 15 January 2015.
   Google Scholar
• Parish T.R. & Bromwich D.H. 1987. The surface windfield over the Antarctic ice sheets. Nature 328, 51–54.
   Web of Science ®Google Scholar
• Parkinson C.L. & Cavalieri D.J. 2012. Antarctic sea ice variability and trends, 1979-2010. The Cryosphere 6, 871–880.
   Web of Science ®Google Scholar
• Petrelli P., Bindoff N.L. & Bergamasco A. 2008. The sea ice dynamics of Terra Nova Bay and Ross Ice Shelf polynyas during a spring and winter simulation. Journal of Geophysical Research—Oceans 113, C09003, doi: 10.1029/2006JC004048.
   Web of Science ®Google Scholar
• Robinson N.J. & Williams M.J.M. 2012. Iceberg-induced changes to polynya operation and regional oceanography in the southern Ross Sea, Antarctica, from in situ observations. Antarctic Science 24, 514–526.
   Web of Science ®Google Scholar
• Rusciano E., Budillon G., Fusco G. & Spezie G. 2013. Evidence of atmosphere–sea ice–ocean coupling in the Terra Nova Bay polynya (Ross Sea—Antarctica). Continental Shelf Research 61, 112–124.
   Web of Science ®Google Scholar
• Sea Ice Atlas 2015. Common terms used in sea ice research. Accessed on the internet at http://seaiceatlas.snap.uaf.edu/glossary on 15 January 2015.
   Google Scholar
• Simmonds I. & Jacka T.H. 1995. Relationships between the inter-annual variability of Antarctic sea ice and the Southern Oscillation. Journal of Climate 8, 637–647.
   Web of Science ®Google Scholar
• Smith W.O., Ainley D.G. & Cattaneo-Vietti R. 2007. Trophic interactions within the Ross Sea continental shelf ecosystem. Philosophical Transactions of the Royal Society of London B: Biological Sciences 362, 95–111.
   PubMed Web of Science ®Google Scholar
• Smith W.O. & Barber D.G. 2007. Polynyas: windows to the world. Amsterdam: Elsevier.
   Google Scholar
• Stammerjohn S.E., Martinson D.G., Smith R.C., Yuan X. & Rind D. 2008. Trends in Antarctic annual sea ice retreat and advance and their relation to El Niño–Southern Oscillation and Southern Annular Mode variability. Journal of Geophysical Research—Oceans 113, C03S90, doi: 10.1029/2007JC004269.
   Web of Science ®Google Scholar
• Turner J., Comiso J.C., Marshall G.J., Lachlan‐Cope T.A., Bracegirdle T., Maksym T., Meredith M.P., Wang Z. & Orr A. 2009. Non‐annular atmospheric circulation change induced by stratospheric ozone depletion and its role in the recent increase of Antarctic sea ice extent. Geophysical Research Letters 36, L08502, doi: 10.1029/2009GL037524.
   Web of Science ®Google Scholar
• Van Woert M.L. 1999. Wintertime dynamics of the Terra Nova Bay polynya. Journal of Geophysical Research—Oceans 104, 7753–7769.
   Web of Science ®Google Scholar
• Van Woert M.L., Johnson E.S., Langone L., Worthen D.L., Monaghan A., Bromwich D.H., Meloni R. & Dunbar R.B. 2003. The Ross Sea circulation during the 1990s. In G.R. Ditullio & R.B. Dunbar (eds.): Biogeochemistry of the Ross Sea. Pp. 5–34. Washington DC: American Geophysical Union.
   Google Scholar
• Wu Z. & Huang N.E. 2004. A study of the characteristics of white noise using the empirical mode decomposition method. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 460, 1597–1611.
   Web of Science ®Google Scholar
• Wu Z. & Huang N.E. 2009. Ensemble empirical mode decomposition: a noise-assisted data analysis method. Advances in Adaptive Data Analysis 1, 1–41.
   Google Scholar
• Wu Z., Huang N.E. & Chen X. 2009. The multi-dimensional ensemble empirical mode decomposition method. Advances in Adaptive Data Analysis 1, 339–372.
   Google Scholar
• Yuan X.J. 2004. ENSO-related impacts on Antarctic sea ice: a synthesis of phenomenon and mechanisms. Antarctic Science 16, 415–425.
   Web of Science ®Google Scholar
• Zwally H.J., Comiso J.C. & Gordon A.L. 1985. Antarctic offshore leads and polynyas and oceanographic effects. In S.S. Jacobs (ed.): Oceanology of the Antarctic continental shelf. Pp. 203–226. Washington DC: American Geophysical Union.
   Google Scholar