Total dust deposition flux during precipitation in Toyama, Japan, in the spring of 2009: A sensitivity analysis with the NASA GEOS-5 Model

Yasunari, Teppei J.; Colarco, Peter R.; Lau, William K. M.; Osada, Kazuo; Kido, Masaru; Mahanama, Sarith; Kim, Kyu‐Myong; Silva, Arlindo da

doi:10.1016/j.atmosres.2015.08.005

Cited by 5 publications

(4 citation statements)

References 82 publications

(111 reference statements)

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“…However, this visibility method has not always been entirely accurate to judge Kosa days. For example, several studies reported their own "judged" Kosa days based on the methods different from that used by JMA (Matoba et al 2005;Mizoguchi et al 2009;Yasunari et al 2016). These previous studies could imply that the number of Kosa days reported by JMA might be smaller than the actual number of Kosa days, that should have been reported.…”

Section: Introductionmentioning

confidence: 62%

“…go.jp/Takikawa/). Because the depolarization ratio is available, the lidar data can provide us the information on non-spherical particles such as dust particles (e.g., Shimizu et al 2004;Osada et al 2011;Yasunari et al 2016). We use the calculated dust and spherical extinction coefficients of the lidar data (Sugimoto et al 2003;Shimizu et al 2004) at Takikawa to confirm Kosa (dust) transports there (also see SI Text).…”

Section: Introductionmentioning

confidence: 99%

“…The Kosa has been often transported to Japan (e.g., Iwasaka et al 1983;Osada et al 2011;Yasunari et al 2016) and to remote regions such as the USA, Canada, Greenland, etc. (e.g., Rahn et al 1977;Biscaye et al 1997;McKendry et al 2001;Yasunari et al 2007;Yasunari and Yamazaki, 2009).…”

Section: Introductionmentioning

confidence: 99%

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An Unreported Asian Dust (Kosa) Event in Hokkaido, Japan: A Case Study of 7 March 2016

Yasunari

Niwano²,

Fujiyoshi

et al. 2017

SOLA

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Monitoring particulate matter is essential to alert the public about health risks. The Terra/MODIS true color image clearly captured a yellow band over Hokkaido prefecture in Japan on 7 March 2016. We investigated whether this event was an Asian dust (Kosa) transport or not with the ground-based observations in Sapporo and Takikawa in Hokkaido and NASA's MERRA-2 re-analysis data. The timing of increased particle number concentrations (PNCs; greater than 0.5 μm) was clearly measured by a low-cost aerosol sensor at Sapporo and Takikawa in the early afternoon. For this particle size range, the PNC by this aerosol sensor had greater agreement with another commercial instrument for the 1-hourly mean data. The lidar data at Takikawa and NASA's AERONET at Sapporo also implied the increased dust particles (i.e., dominance of non-spherical and coarse particles, respectively), which supported that the PNC increase was due to the dust transport. The hourly PM 2.5 data in Sapporo significantly increased in the evening rather than around the noon to early afternoon. We concluded that this event was judged as an Asian dust (Kosa) event in Hokkaido starting from the early afternoon, which was, however, not reported by Japan Meteorological Agency (JMA) based on their visible observations.(Citation: Yasunari, T.

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Section: Introductionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

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An Unreported Asian Dust (Kosa) Event in Hokkaido, Japan: A Case Study of 7 March 2016

Yasunari

Niwano²,

Fujiyoshi

et al. 2017

SOLA

Self Cite

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“…Regional scale quantification considers the cumulative frequency and spatial extent of longrange transported events, particularly where this impacts populated urban areas (Lin et al, 2015), and global scale quantification determines the impact an event has on background concentration levels. Where monitors are not available, mathematical tools such as dispersion modelling (Li et al, 2016b;Lin and Li, 2016;Philip et al, 2016;Yasunari et al, 2016), neural networks (Taylor et al, 2016;Wong et al, 2015;Xiao et al, 2015) and statistical procedures such as source apportionment (Belis et al, 2013) methods can model impacts. However, these calculation methods have higher uncertainties than direct monitoring due to approximations and input assumptions inherent to the chosen model (Solomos et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Working with the enemy? Social work education and men who use intimate partner violence

Jury

Boxall

2018

Social Work Education

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The accurate measurements of natural and anthropogenic aerosol particulate matter (PM) is important in managing both environmental and health risks; however, limited monitoring in regional areas hinders accurate quantification. This article provides an overview of the ability of recently launched geostationary earth orbit (GEO) satellites, such as GOES-R (North America) and HIMAWARI (Asia and Oceania), to provide near real-time ground-level PM concentrations (GLCs). The review examines the literature relating to the spatial and temporal resolution required by air quality studies, the removal of cloud and surface effects, the aerosol inversion problem, and the computation of ground-level concentrations rather than columnar aerosol optical depth (AOD). Determining surface PM concentrations using remote sensing is complicated by differentiating intrinsic aerosol properties (size, shape, composition, and quantity) from extrinsic signal intensities, particularly as the number of unknown intrinsic parameters exceeds the number of known extrinsic measurements. The review confirms that development of GEO satellite products has led to improvements in the use of coupled products such as GEOS-CHEM, aerosol types have consolidated on model species rather than prior descriptive classifications, and forward radiative transfer models have led to a better understanding of predictive spectra interdependencies across different aerosol types, despite fewer wavelength bands. However, it is apparent that the aerosol inversion problem remains challenging because there are limited wavelength bands for characterising localised mineralogy. The review finds that the frequency of GEO satellite data exceeds the temporal resolution required for air quality studies, but the spatial resolution is too coarse for localised air quality studies. Continual monitoring necessitates using the less sensitive thermal infra-red bands, which also reduce surface absorption effects. However, given the challenges of the aerosol inversion problem and difficulties in converting columnar AOD to surface concentrations, the review identifies coupled GEO-neural networks as potentially the most viable option for improving quantification.

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Review of surface particulate monitoring of dust events using geostationary satellite remote sensing

Sowden

Mueller

Blake

2018

Atmospheric Environment

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Total dust deposition flux during precipitation in Toyama, Japan, in the spring of 2009: A sensitivity analysis with the NASA GEOS-5 Model

Cited by 5 publications

References 82 publications

An Unreported Asian Dust (Kosa) Event in Hokkaido, Japan: A Case Study of 7 March 2016

An Unreported Asian Dust (Kosa) Event in Hokkaido, Japan: A Case Study of 7 March 2016

Working with the enemy? Social work education and men who use intimate partner violence

Review of surface particulate monitoring of dust events using geostationary satellite remote sensing

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