Dust Storm Event of February 2019 in Central and East Coast of Australia and Evidence of Long-Range Transport to New Zealand and Antarctica

H., Duc; Riley, Matthew; Leys, John; Salter, David

doi:10.3390/atmos10110653

Cited by 30 publications

(43 citation statements)

References 61 publications

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“…This means that the contribution to AOD in the Tasman sea from wildfires in northern NSW is small compared to dust. This is confirmed by observed CALIOP lidar vertical aerosol structure which indicates that aerosol types consist mostly of dust, marine, dusty marine with some elements of smoke aerosols high above [26]. The contribution from wildfires to AOD is mostly limited to the vicinities of the fires with negligible contribution to AOD above the Tasman sea.…”

Section: Impact On Air Quality: Wrf-chem Prediction Of Pm25 and Pm10supporting

confidence: 69%

“…Figure 1d shows maximum AOD over Australia on 13/2/2019 as measured by MODIS Terra satellite provided by the Deep Blue MOD08-D3 product. This dust event has been studied using meteorological and air quality model WRF-Chem to simulate the transport and dispersion of the dust in eastern Australia and New Zealand [26]. The current study extends the previous work by focussing on the impact of this dust storm event on air quality (PM2.5) and on exposed population in NSW.…”

Section: Introductionmentioning

confidence: 74%

“…The results showed that the wildfires impact on air quality and therefore health is much less than that of this dust storm. CALIPSO data, above central Australia on 11/2/2019 from 4:27 to 4:40 UTC, showed that the dust cloud was approximately 1500 km long and extended from western NSW near the border with Victoria to western Queensland [26]. We used AFWA dust scheme in which saltation bombardment as well as the disintegration of aggregates was considered.…”

Section: Discussionmentioning

confidence: 99%

“…Even though not as large or as significant as the "Red Dawn" dust storm in September 2009 [17], the dust storm from 11 to 15 February 2019 was a significant event. It originated from the deserts of central Australia and dry lands of western NSW which were under drought conditions and caused significant degradation of air quality in most of NSW, including the coastal cities, before the dust was then transported across the Tasman Sea to New Zealand and Antarctica [26] . A thick layer of dust (up to 2km above ground level) above central Australia was detected by CALIOP lidar onboard CALIPSO satellite on 11 February 2019 from 4:27 to 4:40 UTC.…”

Section: Introductionmentioning

confidence: 99%

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Dust Transport from Inland Australia and its Impact on Air Quality and Health on the Eastern Coast of Australia during the February 2019 Dust Storm.

Aragnou¹,

Watt²,

H.³

et al. 2020

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Dust storms originating from Central Australia and western New South Wales frequently cause high particles concentration at many sites across New South Wales, both inland and along the coast. This study focussed on a dust storm event in February 2019 which affect air quality across the state as detected at many ambient monitoring stations in the Department of Planning, Industry and Environment (DPIE) air quality monitoring network. The WRF-Chem (Weather Research and Forecast Model – Chemistry) model is used to study the formation, dispersion and transport of dust across the state of New South Wales (NSW, Australia). Wildfires also happened in northern NSW at the same time of the dust storm in February 2019, and their emissions are taken into account in WRF-Chem model by using Fire Inventory from NCAR (FINN) as emission input. The model performance is evaluated and is shown to predict fairly accurate the PM2.5 and PM10 concentration as compared to observation. The predicted PM2.5 concentration over New South Wales during 5 days from 11 to 15 February 2019 is then used to estimate the impact of the February 2019 dust storm event on three health endpoints namely mortality, respiratory and cardiac diseases hospitalisation rates. The results show that even though as the daily average of PM2.5 over some parts of the state, especially in western and north western NSW near the centre of the dust storm and wild fires, are very high (over 900 µg/m3), the population exposure is low due to the sparse population. The top five Statistical Area Level 4 regions with the most impact in term of mortality, respiratory diseases hospitalisation and cardiac disease hospitalisation are Far West and Orana, Newcastle and Lake Macquarie, New England and North West, Sydney – Inner South West and either Central Coast (mortality) or Sydney – Parramatta (respiratory diseases hospitalisation) or Sydney – Inner West (cardiac diseases hospitalisation). Generally, the health impact is similar in order of magnitude to that caused by biomass burnings events from wildfires or from hazardous reduction burnings (HRBs) near populous centres such as in Sydney in May 2016. One notable difference is the higher respiratory diseases hospitalisation for this dust event (161) compared to fire event (24).

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Section: Impact On Air Quality: Wrf-chem Prediction Of Pm25 and Pm10supporting

confidence: 69%

Section: Introductionmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dust Transport from Inland Australia and its Impact on Air Quality and Health on the Eastern Coast of Australia during the February 2019 Dust Storm.

Aragnou¹,

Watt²,

H.³

et al. 2020

Preprint

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“…Hopefully, these issues can be easily addressed with additional plots and documentation. Papers by Ma et al (2019), Letcher and LeGrand (2018), Rizza et al (2017), and Nguyen et al (2019) offer good examples of approaches for general dust case study descriptions, forcing weather evaluations, and/or vertical dust distribution assessments.…”

mentioning

confidence: 99%

Review Comments for Zeng et al. gmd-2019-310

LeGrand¹

2019

Preprint

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This study presents an investigation of dust simulation sensitivity to three dry dust deposition schemes and two adaptations of widely used dust emission schemes using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). The authors successfully demonstrate that airborne dust concentration and transport simulation can be sensitive to dry deposition process parameterization. Moreover, their findings make a compelling case that future efforts should focus on improving dry dust deposition schemes (in addition to dust emission schemes) and that more field mea-C1 GMDD Interactive comment Printer-friendly version Discussion paper surements of dry deposition are needed to reduce uncertainties in dust simulation.

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