Climate-relevant aerosol parameters of South-East-Asian forest fire haze

Hoyningen‐Huene, W. von; Schmidt, T.; Schienbein, Sigurd; Kee, Chan Ah; Tick, Lim Joo

doi:10.1016/s1352-2310(98)00422-1

Cited by 43 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8). This result is similar to the airborne observations of VON HOYNINGEN-HUENE et al (1999) which show the upper level of haze is between 2000 m to 2500 m and of BRAAK (1929) who observed that the haze is most dense between 1000 and 2000 m. This also confirms the observation that the boundary layer and the trade wind inversion within these levels largely influence the haze transport in the tropics. The trade wind inversion serves as a lid or capping for the haze (HEIL et al, 1998;BRAAK, 1929).…”

Section: Discussion On Haze Transportsupporting

confidence: 91%

“…Although secondary aerosols play a critical role in the study of long-range transport of the haze, as indicated by their presence in observations in Kuala Lumpur in 1997(vON HOYNINGEN-HUENE et al, 1999, chemical transformations of particulate matter and other products of biomass burning are not included in the model. The simulations focus only on the transport of primary total particulate matter with no associated aqueous and gas phase chemistry involved.…”

Section: Removal Processesmentioning

confidence: 99%

See 1 more Smart Citation

Application of DARLAM to Regional Haze Modeling

Koe

Arellano

McGregor³

2003

Pure and Applied Geophysics

View full text Add to dashboard Cite

The CSIRO Division of Atmospheric Research limited area model (DARLAM) is applied to atmospheric transport modeling of haze in southeast Asia. The 1998 haze episode is simulated using an emission inventory derived from hotspot information and adopting removal processes based on SO 2 .Results show that the model is able to simulate the transport of haze in the region. The model images closely resemble the plumes of NASA Total Ozone Mapping Spectrometer and Meteorological Service Singapore haze maps. Despite the limitation of input data, particularly for haze emissions, the three-month average pattern correlation obtained for the whole episode is 0.61. The model has also been able to reproduce the general features of transboundary air pollution over a long period of time. Predicted total particulate matter concentration also agrees reasonably well with observation.The difference in the model results from the satellite images may be attributed to the large uncertainties of emission, simplification of haze deposition and transformation mechanisms and the relatively coarse horizontal and vertical resolution adopted for this particular simulation.

show abstract

Section: Discussion On Haze Transportsupporting

confidence: 91%

Section: Removal Processesmentioning

confidence: 99%

Application of DARLAM to Regional Haze Modeling

Koe

Arellano

McGregor³

2003

Pure and Applied Geophysics

View full text Add to dashboard Cite

show abstract

“…There are very few absorption retrievals for Songkhla. In comparison, broadband retrievals made by Hoyningen-Huene et al (1999) observing aged smoke being transported out of the IC. With particle size and ω o slightly higher than Chiang Mai in the source region, aerosol optical properties are consistent with known evolution .…”

Section: Aeronet Sites At Chiang Mai and Silpakorn Universities Inmentioning

confidence: 99%

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Reid¹,

Hyer²,

Johnson

et al. 2013

Atmospheric Research

290

264

View full text Add to dashboard Cite

“…Figure 1 shows the distribution of the real parts of biomass burning (Westphal et al 1991;Yamasoe et al 1998;von Hoyningen-Huene et al 1999;Guyon et al 2003;Procopio et al 2003;Colarco 2004;Schkolnik et al 2007;Hungershoefer et al 2008;Levin et al 2010), and organic (Schnaiter et al 2003;Pettersson et al 2004;Lack et al 2006;Abo Riziq et al 2007;Barkey et al 2007;Yu et al 2008;LangYona et al 2009;Wex et al 2009;Lang-Yona et al 2010b;Nakayama et al 2010b;Trainic et al 2011;Flores et al 2012;Trainic et al 2012) and inorganic (Abo Riziq et al 2007;LangYona et al 2009;Trainic et al 2011) aerosols found in the literature. In this study, we exclude soot particles due to their complex aggregated structure.…”

Section: Approachmentioning

confidence: 99%

An Approach for Faster Retrieval of Aerosols’ Complex Refractive Index Using Cavity Ring-Down Spectroscopy

Bluvshtein

Flores

Riziq

et al. 2012

Aerosol Science and Technology

View full text Add to dashboard Cite

Cavity ring-down spectroscopy (CRD-S) is widely adapted for studying light extinction by aerosol in laboratory and field studies. The complex refractive index (RI) of an aerosol can be retrieved by finding the theoretical Mie theory curve that best fits the measured extinction efficiency for as many aerosol diameters as possible. In this study, we introduce a new retrieval approach for the complex RI of aerosols using extinction measurements at only two carefully selected size parameters. We show that for three model substances measured (ammonium sulfate, Suwannee river fulvic acid, and nigrosin) and for 22 other reanalyzed datasets, the "2-points" measurement approach enables the retrieval of complex refractive indices with comparable uncertainty to the traditional measurement and retrieval procedure. The advantages and disadvantages of the new approach are discussed.

show abstract

Climate-relevant aerosol parameters of South-East-Asian forest fire haze

Cited by 43 publications

References 0 publications

Application of DARLAM to Regional Haze Modeling

Application of DARLAM to Regional Haze Modeling

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

An Approach for Faster Retrieval of Aerosols’ Complex Refractive Index Using Cavity Ring-Down Spectroscopy

Contact Info

Product

Resources

About