Light scattering from volcanic-sand particles in deposited and aerosol form

Zubko, Nataliya; Muñoz, Olga; Zubko, Evgenij; Gritsevich, Maria; Escobar-Cerezo, J.; Berg, Matthew J.; Peltoniemi, Jouni

doi:10.1016/j.atmosenv.2019.06.051

Cited by 20 publications

(9 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spectral reflectance estimated for the pure volcanic sand was about 0.03, which is very similar to a black body (0.0) (Dagsson-Waldhauserova, 2014;Peltoniemi et al, 2015). Zubko et al (2019) measured the complex refractive index of milled volcanic sand from the same area. The imaginary part of the complex refractive index (k), responsible for absorption, was 0.01 (λ = 647 nm), which is around one order of magnitude higher than the average values for natural dust from Sahel (0.002, λ = 660 nm), North Africa-Sahara and Easter Asia (0.001, λ = 660 nm) (Di Biagio et al, 2019).…”

Section: 5mentioning

confidence: 65%

See 1 more Smart Citation

Distinct chemical and mineralogical composition of Icelandic dust compared to North African and Asian dust

Baldo¹,

Formenti²,

Nowak³

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. Iceland is a highly active source of natural dust. Icelandic dust has the potential to affect directly the climate via dust-radiation interaction, and indirectly via dust-cloud interaction, snow/ice albedo effect and impacts on biogeochemical cycles. The impacts of Icelandic dust depend on its mineralogical and chemical composition. However, lack of data has prevented an accurate assessment of the role of Icelandic dust in the Earth system. Here, we collected surface sediment samples from five major Icelandic dust hotspots. Dust aerosols were generated and suspended in atmospheric chambers, and PM10 and PM20 fractions were collected for further analysis. We found that the dust samples primarily consist of amorphous basaltic material ranging from 8 wt% (from the Hagavatn hotspot) to 60–90 wt% (other hotspots). Samples had relatively high total Fe content (10–13 wt%). Sequential extraction of Fe to determine its chemical form shows that dithionite Fe (Fe oxides such as hematite and goethite) and ascorbate Fe (amorphous Fe) contribute respectively 1–6 %, and 0.3–1.4 % of the total Fe in Icelandic dust. The magnetite fraction is 7–15 % of total Fe and 1–2 wt% of PM10, which is orders of magnitude higher than in mineral dust from North Africa. Nevertheless, about 80–90 % of the Fe is contained in pyroxene and amorphous glass. The initial Fe solubility (ammonium acetate extraction at pH 4.7) is from 0.08–0.6 %, which is comparable to low latitude dust such as that from North Africa. The Fe solubility at low pH (i.e., 2) is significantly higher than typical low latitude dust (up to 30 % at pH 2 after 72 hrs). Our results revealed the fundamental differences in composition and mineralogy of Icelandic dust from low latitude dust. We attribute these differences to the low degree of chemical weathering, the basaltic composition of the parent sediments, and glacial processes. Icelandic dust contributes to the atmospheric deposition of soluble Fe and can impact primary productivity in the North Atlantic Ocean. The distinct chemical and mineralogical composition, particularly the high magnetite content (1–2 wt%), indicates a potentially significant impact of Icelandic dust on the radiation balance in the sub-polar and polar regions.

show abstract

Section: 5mentioning

confidence: 65%

“…The results showed that the volcanic sand from Iceland reduces the surface albedo and increases the melting rate of snow similarly to black carbon. Icelandic dust has strong absorption capacity (Zubko et al, 2019). Indeed, Icelandic dust is also rich in iron (Fe) (e.g., Arnalds et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Distinct chemical and mineralogical composition of Icelandic dust compared to North African and Asian dust

Baldo¹,

Formenti²,

Nowak³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Back-scattering from snow and regolith has been measured by (Piironen et al, 2000, Kaasalainen et al, 2002, Näränen et al, 2004, Kaasalainen et al, 2005, Kaasalainen et al, 2006. FGI has a large database of different measurements of bidirectional reflectance factors available that can be used for model validation: (Peltoniemi et al, 2007, Wilkman et al, 2016, Zubko et al, 2019, Peltoniemi et al, 2020, Xu et al, 2009. Another well-managed library is SPECCHIO by (Hueni et al, 2009), and in planetary field SSHADE (Schmitt et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A Composite Model for Reflectance and Polarisation of Light From Granulate Materials

Peltoniemi

Gritsevich

Markkanen

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Many natural land surfaces, such as sand or snow, consist of densely packed grains, often covered by dust, water droplets, contaminated with other materials such as possible oil leaks, hoar frost, and can also be internally cracked, porous, and heterogeneous. Most scattering models ignore these complications, but here a more detailed approach is taken to test all these effects. The current model is composed of three techniques: 1) Monte Carlo-based electromagnetic volume integral equation technique for non-spherical wavelength scale dust particles, 2) Monte Carlo ray tracing for stochastic-shaped grains much larger than the wavelength, with optional point scattering from dust cover, internal inclusions, and liquid surface layer, in a layer of an optical depths of few units, and 3) adding-doubling to combine smaller layers into an arbitrary, thick and vertically inhomogeneous medium. The model allows the medium to be built in a modular way, and after initialisation, rather complicated layered structures can be computed quickly and flexibly. The computed results are compared against experimental measurements of snow and sand. The model agrees with measurements usually within the measurement accuracy (∼ 0:05). The scattering is observed to depend significantly on grain size, shape, orientation, composition, fine structures, dust, and some other properties that need to be defined. Both, measurement and modelling, require much deeper attention to these properties.

show abstract

“…Extreme snow dust storms (Dagsson-Waldhauserova et al, 2015) can lead to insulation effect instead of snow melting (Dragosics et al, 2016;Möller et al, 2016) or to albedo decrease via a clumping mechanism, where small particles form larger particles in snow (Dagsson-Waldhauserova et al, 2015;Peltoniemi et al, 2015;Möller et al, 2019). Experiments have shown that volcanic dust (Iceland) can reduce albedo of snow similarly to BC (Peltoniemi et al, 2015;Zubko et al, 2019). Albedo changes on snow surface can also be caused by pigmented algae (Benning et al, 2014;Lutz et al, 2016), or cryoconite, a mixture of dust, pebbles, soot, and microbes (Di Mauro et al, 2017).…”

mentioning

confidence: 99%

“…Mineral dust is considered mainly a light-scattering particle in the atmosphere, but a light-absorbing particle when deposited on snow or ice [Intergovernmental Panel on Climate Change (IPCC), 2013]. Volcanic dust is, contrarily, a strongly absorbing particle with a spectral reflectance of 0.03 (Ovadnevaite et al, 2009;Peltoniemi et al, 2015;Zubko et al, 2019). In the Arctic, volcanic dust can reach altitudes of several kilometers and travel distances over 1,000 km (Arnalds et al, 2016;Dagsson-Waldhauserova et al, 2019).…”

mentioning

confidence: 99%

Editorial: Atmosphere—Cryosphere Interaction in the Arctic, at High Latitudes and Mountains With Focus on Transport, Deposition, and Effects of Dust, Black Carbon, and Other Aerosols

Dagsson-Waldhauserová

Meinander

2019

Front. Earth Sci.

View full text Add to dashboard Cite

Editorial on the Research Topic Atmosphere-Cryosphere Interaction in the Arctic, at High Latitudes and Mountains With Focus on Transport, Deposition, and Effects of Dust, Black Carbon, and Other Aerosols Atmosphere and cryosphere are closely linked and therefore need to be investigated as an interdisciplinary subject. Most of the cryospheric areas have undergone severe changes in recent decades, while such areas have been more fragile and less adaptable to global climate change (Boy et al., 2019). Atmospheric air pollutants, in particular black carbon (BC) and dust, are deposited on clean snow, land ice or sea ice surfaces, and decrease their albedo. Due to albedo-feedback, snow and ice are melting faster and seasonal snow cover earlier. Impacts of ice loss include reduction in the Earth's albedo and, as a positive feedback, this leads to further warming (Flanner et al., 2007), as for example in the Arctic region. Albedo is wavelength dependent and typically very high for clean snow, and decreases as a function of snow age, snow grain size, and impurity content (e.g., Warren and Wiscombe, 1980; Aoki et al., 2000; Gardner and Sharp, 2010). It is estimated that Arctic snow albedo is reduced primarily due to BC, but other impurities can also contribute to absorption, such as organic or brown carbon (Doherty et al., 2010). Surface albedo feedback has been found as the second main contributor to Arctic amplification (Pithan and Mauritsen, 2014), and BC deposition to snow and ice can strongly contribute to the darkening via black-carbon-on-snow forcing (Bond et al., 2013). The role of BC in snow and ice has been widely investigated, and detailed scientific assessments have been presented in Bond et al. (2013), Intergovernmental Panel on Climate Change (IPCC) (2013), and AMAP (2015). Seemingly small amounts of BC in snow, of the order of 10-100 parts per billion by mass (ppb), have shown to decrease its albedo by 1-5% (Hadley and Kirchstetter, 2012). A reduction in snow-surface density due to light absorbing impurities has been documented (Meinander et al., 2014; Skiles and Painter, 2017), and BC has also been suggested as disturbing the water holding capacity of snow (Meinander et al., 2014). Dust has been identified as reducing snow albedo in many parts of the world, for example the Chilean Andes,

show abstract

Light scattering from volcanic-sand particles in deposited and aerosol form

Cited by 20 publications

References 46 publications

Distinct chemical and mineralogical composition of Icelandic dust compared to North African and Asian dust

Distinct chemical and mineralogical composition of Icelandic dust compared to North African and Asian dust

A Composite Model for Reflectance and Polarisation of Light From Granulate Materials

Editorial: Atmosphere—Cryosphere Interaction in the Arctic, at High Latitudes and Mountains With Focus on Transport, Deposition, and Effects of Dust, Black Carbon, and Other Aerosols

Contact Info

Product

Resources

About