A comprehensive database of the optical properties of irregular aerosol particles for radiative transfer simulations

Saito, Masanori; Yang, Ping; Ding, Jiachen; Liu, Xu

doi:10.1175/jas-d-20-0338.1

Cited by 32 publications

(29 citation statements)

References 84 publications

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“…An important limitation of all these combined techniques results from the use of the spheroidal shape model to describe the irregular shape of natural dust particles in forward modelling approaches in the framework of the GARRLiC/GRASP data analysis. The simulated spectra (355-1064 nm) of dust backscatter, lidar ratio and depolarization ratio disagree with the lidar observations of dust optical properties at exactly 180.0 degree (Müller et al, 2010(Müller et al, , 2012Shin et al, 2018;Saito et al, 2021;Haarig et al, 2022). Sophisticated modelling studies comparing the impact of very different shape models on the lidar observations corroborate the results from laboratory and field studies (Gasteiger et al, 2011;Lindqvist et al, 2014;Kemppinen et al, 2015;Järvinen et al, 2016;Saito et al, 2021).…”

Section: Lidar Retrievals Of Coarse and Super-coarse Dust Aerosolssupporting

confidence: 54%

“…The simulated spectra (355-1064 nm) of dust backscatter, lidar ratio and depolarization ratio disagree with the lidar observations of dust optical properties at exactly 180.0 degree (Müller et al, 2010(Müller et al, , 2012Shin et al, 2018;Saito et al, 2021;Haarig et al, 2022). Sophisticated modelling studies comparing the impact of very different shape models on the lidar observations corroborate the results from laboratory and field studies (Gasteiger et al, 2011;Lindqvist et al, 2014;Kemppinen et al, 2015;Järvinen et al, 2016;Saito et al, 2021). This is a source of uncertainty that must be overcome by introducing more realistic dust shape models into the GARRLIcC/GRASP computations.…”

Section: Lidar Retrievals Of Coarse and Super-coarse Dust Aerosolscontrasting

confidence: 47%

“…Recently, the application spectrum of the polarization lidar technique was broadened by introducing a method for estimating the dust mass concentration profiles for particles that are finer than 1µm and those that are coarser than 1 µm Ansmann, 2014, 2017). The method makes use of the laboratory studies of Sakai et al (2010) and Järvinen et al (2016) which were corroborated by modelling studies (Gasteiger et al, 2011;Saito et al, 2021). In the laboratory studies it was found that fine-dust-dominated particle ensembles cause particle depolarization ratios of about 0.14-0.18 at 532 nm (Sakai et al, 2010;Järvinen et al, 2016) and dust dominated by coarse mode leads to dust depolarization ratios close to 0.39-0.4 (Sakai et al, 2010).…”

Section: Lidar Retrievals Of Coarse and Super-coarse Dust Aerosolsmentioning

confidence: 89%

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A review of coarse mineral dust in the Earth system

Adebiyi¹,

Kok²,

Murray³

et al. 2022

Preprint

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Mineral dust particles suspended in the atmosphere span more than three orders of magnitude in diameter, from less than 0.1 µm to more than 100 µm. This wide size range makes dust a unique aerosol species with the ability to interact with many aspects of the Earth system, including radiation, clouds, hydrology, atmospheric chemistry, and biogeochemistry. This review focuses on coarse and super-coarse dust aerosols, which we respectively define as dust particles with a diameter between 2.5 - 10 µm and 10 - 62.5 µm. We review several lines of observational evidence indicating that coarse and super-coarse dust particles are transported farther than previously expected and that the abundance of these particles is substantially underestimated in current global models. We synthesize previous studies that used observations, theories, and model simulations to highlight the impacts of coarse and super-coarse dust aerosols on the Earth system, including their effects on dust-radiation interactions, dust-cloud interactions, and atmospheric chemistry, and biogeochemistry. In addition, we examine several limitations in the representation of coarse and super-coarse dust aerosols in current model simulations and in remote-sensing retrievals. Because these limitations substantially contribute to the uncertainties in simulating the abundance and impacts of coarse and super-coarse dust aerosols, we offer some recommendations to facilitate future studies. Overall, we conclude that an accurate representation of coarse and super-coarse properties is critical in understanding the overall impacts of dust aerosols on the Earth system.

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Section: Lidar Retrievals Of Coarse and Super-coarse Dust Aerosolssupporting

confidence: 54%

Section: Lidar Retrievals Of Coarse and Super-coarse Dust Aerosolscontrasting

confidence: 47%

Section: Lidar Retrievals Of Coarse and Super-coarse Dust Aerosolsmentioning

confidence: 89%

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A review of coarse mineral dust in the Earth system

Adebiyi¹,

Kok²,

Murray³

et al. 2022

Preprint

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“…Saito et al. (2021) used a combination of IITM and PGOM to develop a dust optical property database assuming dust particles to be an ensemble of irregular hexahedral particles. In these LUTs, the dust optical properties are archived for a set of discrete microphysical parameter points (such as particle size, shape, and index of refraction).…”

Section: Introductionmentioning

confidence: 99%

Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning

Chen

Wang

Gomes

et al. 2022

Geophysical Research Letters

Self Cite

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Dust aerosol has a widespread impact on air quality and visibility (Huang et al., 2008;Moulin et al., 1998) and modulates the Earth's radiation budget (Pachauri et al., 2014) via scattering and absorbing both shortwave and thermal infrared radiation (Xu et al., 2017), leading to large uncertainties in climate projection. The radiative forcing and spectral fingerprints of dust particles depend on their bulk optical properties, including the extinction coefficient, single-scattering albedo, and phase matrix. While these properties can be computed exactly based on the Lorenz-Mie theory for spherical particles (Mishchenko et al., 2002), most mineral dust particles have highly irregular shapes with a wide range of particle sizes, posing significant challenges to both remote sensing and climate modeling (Wang et al., 2003(Wang et al., , 2004.Various techniques have been developed for estimating non-spherical particle properties, such as the discrete dipole approximation (DDA;Draine & Flatau, 1994;Yurkin et al., 2007), the extended boundary condition method (EBCM) as an implementation of the T-matrix (Mishchenko et al., 1997;Mishchenko & Travis, 1994),

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“…Although highly scattering spherical particles have a distinct backward scattering peak, non‐spherical particles have a relatively smooth phase function structure in the backscattering hemisphere. Despite significant advances in terms of modeling of irregular particles (Saito et al., 2021), a priori selection of the most appropriate dust phase function is not straightforward due to the large variability in and a large number of possible combinations of particle size distribution, shape, aspect ratio, and orientation in the atmosphere (Dubovik et al., 2006; Wang et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Constraining Aerosol Phase Function Using Dual‐View Geostationary Satellites

et al. 2021

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Passive satellite observations play an important role in monitoring global aerosol properties and helping quantify aerosol radiative forcing in the climate system. The quality of aerosol retrievals from the satellite platform relies on well‐calibrated radiance measurements from multiple spectral bands, and the availability of appropriate particle optical models. Inaccurate scattering phase function assumptions can introduce large retrieval errors. The high‐spatial resolution, dual‐view observations from the advanced baseline imagers onboard the two most recent geostationary operational environmental satellites (GOES), East and West, provide a unique opportunity to better constrain the aerosol phase function. Using dual GOES reflectance measurements for a dust event in the Gulf of Mexico in 2019, we demonstrate how a first‐guess phase function can be reconstructed by considering the variations in observed scattering angles throughout the day. Using the reconstructed phase function, aerosol optical depth retrievals from the two satellites are self‐consistent and agree well with surface‐based optical depth estimates. We evaluate our methodology and reconstructed phase function against independent retrievals made from low‐Earth‐orbit multi‐angle observations for a different dust event in 2020. Our new aerosol optical depth retrievals have a root‐mean‐square‐difference of 0.019–0.047. Furthermore, the retrievals between the two geostationary satellites for this case agree within about 0.059 ± 0.072, as compared to larger discrepancies between the operational GOES products at times, which do not employ the dual‐view technique.

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A comprehensive database of the optical properties of irregular aerosol particles for radiative transfer simulations

Cited by 32 publications

References 84 publications

A review of coarse mineral dust in the Earth system

A review of coarse mineral dust in the Earth system

Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning

Constraining Aerosol Phase Function Using Dual‐View Geostationary Satellites

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