Seasonal variation of aerosol size distributions in Darwin, Australia

Bouya, Zahra; Box, G. P.

doi:10.1016/j.jastp.2011.06.016

Cited by 12 publications

(11 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This reflects a dependence on proximity to the coast and the associated maritime influence on the aerosol loading, as discussed by Bouya et al . [], Bouya and Box [], and Radhi et al . [].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

The climatology of Australian tropical aerosol: Evidence for regional correlation

Mitchell

Forgan

Campbell

et al. 2013

Geophysical Research Letters

View full text Add to dashboard Cite

[1] Biomass burning aerosols from the tropical savanna of Northern Australia constitute a globally significant aerosol source, with impacts on regional climate and air quality. Knowledge of the seasonal cycle and spatial distribution of this aerosol is required for its realistic representation in models of global climate, and to help define the role of this region in the global carbon cycle. This paper presents a decadal climatology of these aerosols, based on Sun photometer records from three stations in the Australian tropics, over the period 1998-2012. The monthly time series shows enhanced aerosol emissions following prodigious wet seasons, two of which occurred during the study period. The monthly climatology shows the expected peak during the late dry season (September-November), when most burning takes place, with clear evidence of the dominant modulating effect of fine-particle smoke emission apparent from the annual cycle of the Ångström exponent, a proxy for particle size. The aerosol levels during the early dry season are higher at the northern "Top End" stations than at the south-westerly Kimberley station. The time variation of aerosol optical depth is highly correlated between all three station pairs, with a correlation coefficient r 2 > 0.75 at monthly resolution between all pairs. This high correlation between widely separated stations declines only gradually as the filtering interval is reduced, suggesting remarkably high coherence in the emission and transport of biomass burning aerosol across the entire region.

show abstract

Section: Resultsmentioning

confidence: 99%

“…More recently, Bouya et al . [] and Bouya and Box [] analyzed data from Bureau and TWP/ARM photometers to delineate the seasonal characteristics of the aerosol at Darwin, while Radhi et al . [] applied a similar technique to the data from the CSIRO stations at Lake Argyle and Jabiru.…”

Section: Introductionmentioning

confidence: 99%

The climatology of Australian tropical aerosol: Evidence for regional correlation

Mitchell

Forgan

Campbell

et al. 2013

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…Large values of a are generally indicative of smaller particles, and vice versa. A quadratic version of Eqn (3) may sometimes be used to extract additional information (Bouya and Box 2011).…”

Section: Study Area and Data Sourcesmentioning

confidence: 99%

“…In this study we investigate the daily and monthly variation of aerosol optical thickness, Ångström exponent and size distribution at two sites in northern Australia (Lake Argyle and Jabiru). Previous studies of this aerosol include Bouya et al (2010) and Bouya and Box (2011), who studied these optical properties in Darwin, for both morning and afternoon (in order to note any sea breeze effects), and Radhi et al (2006) who examined similar data for Tennant Creek (on the southern edge of the burning zone, ~750 km south of Jabiru).…”

Section: Introductionmentioning

confidence: 99%

Biomass-burning aerosol over northern Australia

Radhi¹,

Box²,

Box³

et al. 2012

AMOJ

View full text Add to dashboard Cite

“…The aerosol accumulation mode number concentration (N a ) and cloud condensation nuclei (CCN) number concentration (N CCN ) at 0.1% supersaturation (S = 0.1%) simulated by CAM5 (Table 1) show a maximum in JJA and a minimum in DJF at both SGP and TWP. Observational studies have also shown that more accumulation mode aerosol and CCN (S = 0.1%) are observed in JJA than other seasons due to stronger photochemical production of aerosols at SGP [ Liu et al , 2011], and due to more frequent continental winds rather than marine winds at TWP [ Bouya and Box , 2011]. Therefore, CAM5 simulates the aerosol properties reasonably well at SGP and TWP.…”

Section: Evaluation Of Simulated Aerosol and Cloud Propertiesmentioning

confidence: 99%

Aerosol first indirect effects on non‐precipitating low‐level liquid cloud properties as simulated by CAM5 at ARM sites

Zhao

Klein

Xie

et al. 2012

Geophysical Research Letters

View full text Add to dashboard Cite

[1] We quantitatively examine the aerosol first indirect effects (FIE) for non-precipitating low-level single-layer liquid phase clouds simulated by the Community Atmospheric Model version 5 (CAM5) running in the weather forecast mode at three DOE Atmospheric Radiation Measurement (ARM) sites. The FIE is quantified in terms of a relative change in cloud droplet effective radius for a relative change in accumulation mode aerosol number concentration under conditions of fixed liquid water content (LWC). CAM5 simulates aerosol-cloud interactions reasonably well for this specific cloud type, and the simulated FIE is consistent with the long-term observations at the examined locations. The FIE in CAM5 generally decreases with LWC at coastal ARM sites, and is larger by using cloud condensation nuclei rather than accumulation mode aerosol number concentration as the choice of aerosol amount. However, it has no significant variations with location and has no systematic strong seasonal variations at examined ARM sites. Citation: Zhao, C., S. A. Klein, S. Xie, X. Liu, J. S. Boyle, and Y. Zhang (2012), Aerosol first indirect effects on non-precipitating low-level liquid cloud properties as simulated by CAM5 at ARM sites, Geophys. Res. Lett., 39, L08806,

show abstract

Seasonal variation of aerosol size distributions in Darwin, Australia

Cited by 12 publications

References 49 publications

The climatology of Australian tropical aerosol: Evidence for regional correlation

The climatology of Australian tropical aerosol: Evidence for regional correlation

Biomass-burning aerosol over northern Australia

Aerosol first indirect effects on non‐precipitating low‐level liquid cloud properties as simulated by CAM5 at ARM sites

Contact Info

Product

Resources

About