Synoptic variability in the Ross Sea region, Antarctica, as
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TitleSynoptic variability in the Ross Sea region, Antarctica, as seen from back-trajectory modeling and ice core analysisAbstractSynoptic variability in the Ross Sea region, Antarctica over the last thirty years is investigated using back-trajectory modeling and cluster analysis. We identify two dominant air-mass trajectory clusters: oceanic/West Antarctic and continental/East Antarctic. Our analysis shows that the oceanic/West Antarctic trajectories have an annual cycle similar to the Semiannual Oscillation and on average peak in frequency during April, while continental/East Antarctic trajectories reach their annual maximum during December. We demonstrate a causal association between the El Nio Southern Oscillation (ENSO) and the frequency of oceanic/West Antarctic trajectories originating from the Ross Sea and Amundsen Sea regions. In contrast, we find that the Southern Annular Mode (SAM) has little influence on the trajectory cluster frequencies. We then develop proxy records for synoptic variability using a shallow firn core from Gawn Ice Piedmont in Southern Victoria Land. Continental/East Antarctic trajectory frequency correlates with concentrations of nitrate (NO3), which is sourced from stratospheric air-masses descending over the Antarctic interior. At seasonal to inter-annual scales, the frequency of oceanic/West Antarctic trajectory clusters strongly correlate with deuterium excess, which is sensitive to changes in relative humidity and sea surface temperature in the Ross and Amundsen Seas. Inter-annual variability in the frequency of oceanic/West Antarctic trajectories is discussed with respect to ENSO and changes in SST and sea ice extent. Copyright 2012 by the American Geophysical Union.AcknowledgementsThis work was funded by the New Zealand Foundation of Research, Science, and Technology via contracts awarded to Victoria University of Wellington and GNS Science (contracts VICX0704, COX0202, and CO5X0902) and by a Fulbright Fellowship from the U.S. State Department. We would like to thank Antarctica New Zealand and Scott Base for logistical support in Antarctica. NCEP/NCAR re-analysis time series were obtained from NOAA Earth System Research Laboratory (http://www.esrl.noaa.gov/psd/data/reanalysis/reanalysis.shtml), as were the SOI and OI SST data (http://www.esrl.noaa.gov/psd/data/climateindices/list/). Sea ice extent and anomaly data was obtained from the National Snow and Ice Data Center (http://nsidc.colorado.edu/data/seaice_index/). The Marshall SAM index was obtained from G. Marshall at http://www.antarctica.ac.uk/met/gjma/sam.html.
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1st AuthorMarkle, B.AuthorMarkle, B.Bertler, N.Sinclair, K.Sneed, S.Year2012JournalJournal of Geophysical Research AtmospheresVolume117Number2DOI10.1029/2011JD016437KeywordsAtmospheric pressureCluster analysisDeuteriumRainSaline waterSea iceTrajectories, Amundsen SeaAnnual cycleAnnual maximaAntarcticaCluster frequenciesInterannualInterannual variabilityProxy recordsRoss SeaSea ice extentSea surface temperaturesSemiannual oscillationsShallow firn coreSouthern annular modeSouthern OscillationSynoptic variability, Atmospheric movements, air massannual cycleatmospheric modelingcluster analysisEl Nino-Southern Oscillationice coreproxy climate recordrelative humiditysea icesea surface temperaturestratospheresynoptic meteorologytrajectory, Amundsen SeaAntarcticaRoss SeaSouthern Ocean, rank5
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TypeArticleCitationMarkle, B., Bertler, N., Sinclair, K. and Sneed, S. (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(2) doi:10.1029/2011JD016437 IdentifierMarkle2012Relevancerank5
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Sneed, S., Synoptic variability in the Ross Sea region, Antarctica, as , [Markle2012]. Antarctica NZ, accessed 10/10/2024, https://adam.antarcticanz.govt.nz/nodes/view/63642, 10.1029/2011JD016437