Generation of low particle numbers at the edge of the polar vortex

Wang, K. Y.; Hadjinicolaou, Panos; Carver, G. D.; Shallcross, D. E.; Hall, S. M.

doi:10.1016/j.envsoft.2004.09.005

Cited by 4 publications

(6 citation statements)

References 24 publications

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“…the South Pole exception is particularly interesting because Na + exhibits a strong seasonal maximum during winter (Cunningham and Zoller, 1981; Whitlow and others, 1992). It is likely that the winter polar vortex centered over Antarctica creates a barrier that isolates the interior from coastal atmospheric influences (Wang and others, 2005), thus removing coastal sea ice as a directly linked source of Na + to the South Pole in winter. Rather the Na + may arrive at the South Pole after considerable mixing from multiple transport sites, making it less well correlated to any particular set of sites.…”

Section: Discussionmentioning

confidence: 99%

An emerging technique: multi-ice-core multi-parameter correlations with Antarctic sea-ice extent

2011

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Using results stemming from the International Trans-Antarctic Scientific Expedition (ITASE) ice-core array plus data from ice cores from the South Pole and Siple Dome we investigate the use of sodium (Na + ), non-sea-salt sulfate (nssSO 4 2-) and methylsulfonate (MS -) as proxies for Antarctic sea-ice extent (SIE). Maximum and mean annual chemistry concentrations for these three species correlate significantly with maximum, mean and minimum annual SIE, offering more information and clarification than single ice-core and single species approaches. Significant correlations greater than 90% exist between Na+ and maximum SIE; nssSO 4 2with minimum and mean SIE; and MSwith mean SIE. Correlations with SIE within large geographic regions are in the same direction for all ice-core sites for Na + and nssSO 4 2but not MS -. All ice cores display an SIE correlation with nssSO 4 2and MS -, but not all correlate with Na + . This multi-core multi-parameter study provides the initial step in determining which chemical species can be used reliably and in which regions as a building block for embedding other ice-core records. Once established, the resulting temporal and spatial matrix can be used to relate ice extents, atmospheric patterns, biological productivity and site conditions.

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Section: Discussionmentioning

confidence: 99%

An emerging technique: multi-ice-core multi-parameter correlations with Antarctic sea-ice extent

2011

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“…In doing so, the large‐scale long‐range transport processes can be examined by monitoring the spatiotemporal distributions of these particles. The IMS‐Lagrangian model was used previously for studying the transport processes associated with ideal baroclinic waves during their life cycles [ Wang and Shallcross , 2000], for characterizing the climatology of airstreams in East Asia during 1994–2002 [ Wang , 2005], and for studying the flow structures in the vicinity of the edge of the polar vortex [ Wang et al , 2005a]. Similar Lagrangian techniques were used in other modeling studies.…”

Section: Methodsmentioning

confidence: 99%

Long‐range transport of the April 2001 dust clouds over the subtropical East Asia and the North Pacific and its impacts on ground‐level air pollution: A Lagrangian simulation

Wang

2007

J. Geophys. Res.

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One of the most remarkable Asian dust storms occurred in April 2001, during the periods of the Aerosol Characterization Experiment (ACE)‐Asia and the Transport and Chemical Evolution Over the Pacific (TRACE‐P) field experiments. Our high‐resolution Lagrangian simulations and the detailed comparisons with the Total Ozone Mapping Spectrometer (TOMS)‐Aerosol Index (AI) data, the Geostationary Meteorological Satellite (GMS)‐5 derived dust distribution, and the ground‐level ambient air particulate matter measurements over Taiwan in the subtropical East Asia reveal several features which were not reported before. We found that (1) the trans‐Pacific long‐range transport was dominated by the dust emissions from the natural source over the Gobi desert and the anthropogenic source over east China before 6–7 April, while the southward long‐range transport to the subtropical East Asia were mainly contributed by the dust emissions from natural source over the Taklamakan and the Gobi, and the anthropogenic source over east China after 6–7 April; (2) the southward long‐range transport implies that the anthropogenic pollution is ahead of the cold front (where the precipitation washes out the particulate matter), while the dust is behind the cold front. (3) The dust emissions from the Gobi during 7–9 April, anthropogenic emissions from east China during 9–10 April, and dust emissions from the Taklamakan during 1–4 April appear to have the most significant impacts on the ground‐level particulate matter concentrations over Taiwan. The simulated particle emitted from desert regions before 6–7 April mainly confined to the Gobi and the Taklamakan regions until 6 April when they became highly mobile for the long‐range transport by the large‐scale cyclonic activity and its associated cold air outbreak. The southward transport characteristics simulated here are consistent with the aerosol characterization observed at Taiwan during this period. Our simulations reveal that the rapid trans‐Pacific transport processes occurred on 12 April contribute to the extensive areas of elevated AI values prevail over the North Pacific during this day.

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“…The primary objective of this paper is to examine how the two factors mentioned above (biases in total column ozone and the size of the circumpolar vortex) affect the simulation of the ozone hole area in five CCMs. The CCMs' simulation of the position and width of the mixing barrier at the edge of the Antarctic polar vortex is compared with meteorological reanalyses using a metric that highlights the region of reduced meridional mixing at the edge of the Antarctic polar vortex (Bodeker et al, 2002;Wang et al, 2005). This analysis follows the study of Bodeker et al (2002) (hereafter denoted B2002) who used equivalent latitude zonal means of ozone and meteorological reanalysis to study the expansion of the Antarctic ozone hole and its encroachment on the observed edge of the Antarctic vortex.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of the simulation of the edge of the Antarctic vortex by chemistry-climate models

Struthers¹,

Bodeker²,

Austin³

et al. 2008

Preprint

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Abstract. The dynamical barrier to meridional mixing at the edge of the Antarctic spring stratospheric vortex is examined. Diagnostics are presented which demonstrate the link between the shape of the meridional mixing barrier at the edge of the vortex and the meridional gradients in total column ozone across the vortex edge. Results derived from reanalysis and measurement data sets are compared with equivalent diagnostics from five coupled chemistry-climate models to test how well the models capture the interaction between the dynamical structure of the stratospheric vortex and the chemical processes occurring within the vortex. Results show that the accuracy of the simulation of the dynamical vortex edge varies widely amongst the models studied here. This affects the ability of the models to simulate the large observed meridional gradients in total column ozone. Three of the models in this study simulated the inner edge of the vortex to be more than 7° closer to the pole than observed. This is expected to have important implications for how well these models simulate the extent of severe springtime ozone loss that occurs within the Antarctic vortex.

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Generation of low particle numbers at the edge of the polar vortex

Cited by 4 publications

References 24 publications

An emerging technique: multi-ice-core multi-parameter correlations with Antarctic sea-ice extent

An emerging technique: multi-ice-core multi-parameter correlations with Antarctic sea-ice extent

Long‐range transport of the April 2001 dust clouds over the subtropical East Asia and the North Pacific and its impacts on ground‐level air pollution: A Lagrangian simulation

An evaluation of the simulation of the edge of the Antarctic vortex by chemistry-climate models

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