Decadal Climate Oscillations, Synoptic Variability, and Ice Core Climate Proxy Records in the Ross Sea Region, Antarctica

• Main Author: Markle, Bradley Ross
• Format: Thesis
• Language: unknown
• Published: 2012
• Subjects: Earth Sciences not elsewhere classified; Antarctica; Ice cores; Synoptic variability; School: School of Geography; Environment and Earth Sciences; 049999 Earth Sciences not elsewhere classified; Marsden: 260115 Glaciology; Marsden: 260399 Geochemistry not Elsewhere Classified; Marsden: 260602 Climatology (incl. Palaeoclimatology); Degree Discipline: Geology; Degree Level: Masters; Degree Name: Master of Science; Ross Sea; Victoria Land; Amundsen Sea; Pacific; Marsden; Gawn; Gawn Ice Piedmont; Antarc*; ice core
• Online Access: https://doi.org/10.26686/wgtn.17000299.v1; https://figshare.com/articles/thesis/Decadal_Climate_Oscillations_Synoptic_Variability_and_Ice_Core_Climate_Proxy_Records_in_the_Ross_Sea_Region_Antarctica/17000299

This thesis investigates synoptic variability in the Ross Sea region, Antarctica and develops geochemical proxies of this variability from an ice core record in Southern Victoria Land. Particular focus is given to the influence of decadal climate oscillations on synoptic conditions and potential records of these oscillations in ice core proxy records as long-­‐term records of these oscillations are important for understanding future climate change. I present an investigation of the joint influence of the El Niño Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) on variability in the Amundsen Sea Low (ASL), a dominant climatological feature that strongly influences the weather in the Ross Sea region. It is shown that the positive phase of each oscillation is associated with significant strengthening of the ASL, while negative phases are associated with a weakening. Through regression analysis I show that a simple linear combination of indices representing these oscillations can explain more than 40% of the geopotential height variance in the AS region at a seasonal scale and over 70% of the variance at an annual scale. These results are consistent with the known mechanisms of ENSO and SAM interaction in the region and show that while SAM is dominant hemispherically, ENSO is only influential in the Pacific Sector. Finally it is demonstrated that a simple model of linear reinforcement and interference between the oscillations describes their influence on the variability in the ASL better than models incorporating more complex interactions. Atmospheric back-­‐trajectory modeling and cluster analysis are used to investigate synoptic variability at the Gawn Ice Piedmont (GIP) ice core site in the Ross Sea Region, Antarctica. I identify two dominant air-­‐mass trajectory clusters: oceanic – cyclonic and continental trajectories. My analysis shows that oceanic – cyclonic trajectories peak during April (southern hemisphere winter), while continental trajectories reach their maximum during December (summer). ...