Retrieval of refractive indices of ten volcanic ash samples in the infrared, visible and ultraviolet spectral region

Deguine, Alexandre; Petitprez, Denis; Clarisse, Lieven; Deschutter, Lise; Fontijn, Karen; Herbin, Hervé

doi:10.1016/j.jaerosci.2022.106100

Cited by 5 publications

(3 citation statements)

References 59 publications

(73 reference statements)

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“…remote desert and oceanic areas), but also can provide insight on new potential source areas which are expected to progressively emerge in consequence of climate change − induced desertification. Indeed, because the LSM approach is sensitive to both crystalline, non − crystalline and amorphous compounds, it can reveal of high relevance for the study of high latitude and volcanic dust aerosols, composed of a significant amorphous and non − crystalline fraction 82 , 83 .…”

Section: Discussionmentioning

confidence: 99%

Infrared optical signature reveals the source–dependency and along–transport evolution of dust mineralogy as shown by laboratory study

Biagio

Doussin

Cazaunau

et al. 2023

Sci Rep

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Advancing knowledge of the mineralogical composition of dust is key for understanding and predicting its climate and environmental impacts. The variability of dust mineralogy from one source to another and its evolution during atmospheric transport is not measured at large scale. In this study we use laboratory measurements to demonstrate that the extinction signature of suspended dust aerosols in the 740 − 1250 cm−1 atmospheric window can be used to derive dust mineralogy in terms of the main infrared − active minerals, namely quartz, clays, feldspars and calcite. Various spectral signatures in dust extinction enable to distinguish between multiple global sources with changing composition, whereas modifications of the dust extinction spectra with time inform on size − dependent particles mineralogy changes during transport. The present study confirms that spectral and hyperspectral infrared remote sensing observations offer great potential for elucidating the size − segregated mineralogy of airborne dust at regional and global scales.

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Section: Discussionmentioning

confidence: 99%

Infrared optical signature reveals the source–dependency and along–transport evolution of dust mineralogy as shown by laboratory study

Biagio

Doussin

Cazaunau

et al. 2023

Sci Rep

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“…For instance, in the case of Reed, the retrieval uses the Rayleigh continuous distribution of ellipsoids model, while Deguine used the more common Mie theory. It should be kept in mind that, even if the sample originates from the same volcano, the chemical composition, the size distribution, and/or the crystalline/amorphous fraction can significantly vary from a sample to another leading to differences in the CRI retrieval [14].…”

Section: Datasetsmentioning

confidence: 99%

“…The CRI of a material carries information on both the absorption and the scattering characteristics and can be used to characterize the optical properties as a function of particle size. In recent years, exploiting state-of-the-art experimental techniques, several new datasets of volcanic ash CRI have been published [10], [11], [12], covering a wide range of different ash types. Current available CRIs, even those measured on ash from the same eruption, exhibits large differences, as underlined in [11].…”

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confidence: 99%

Measuring Volcanic Ash With High-Spectral Resolution Infrared Sounders: Role of Refractive Indices

Deguine

Clarisse

Herbin

et al. 2023

IEEE Geosci. Remote Sensing Lett.

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Airborne volcanic ash can be observed and quantified from hyperspectral infrared (IR) sounders. The retrieval process of physical quantities, such as particle radius and mass, depends critically on the assumed spectrally dependent complex refractive indices (CRIs) that are used. Traditionally, the Pollack et al. (1973) dataset was used almost exclusively. These indices are, however, based on measurements of rock slabs, and in recent years, two datasets have become available from laboratory measurements of ash in suspension, the Reed et al. ( 2018) and Deguine et al. ( 2020) datasets. Here, we compare the three datasets and quantify the extent to which each of them can be used to simulate satellite observed spectra of real volcanic ash plumes. We find that whereas the Pollack et al. indices perform worst throughout, the performance of the other two is comparable for andesitic and basaltic ash plumes. However, all three datasets have difficulty in reproducing the extinction minimum around 1250 cm −1 . The Reed et al. indices in addition yield inconsistent results in the 800-850 cm −1 range. The Deguine et al. dataset is the only one, which can be used to reproduce the very large spectral signatures often observed with rhyolitic ash across the entire thermal IR window 750-1250 cm −1 . In terms of retrieved quantities, the largest differences are seen for the radius, with the Deguine et al. dataset resulting in the smallest retrieved particle sizes.

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Observing ocean ecosystem responses to volcanic ash

Bisson

Gassó

Mahowald

et al. 2023

Remote Sensing of Environment

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Retrieval of refractive indices of ten volcanic ash samples in the infrared, visible and ultraviolet spectral region

Cited by 5 publications

References 59 publications

Infrared optical signature reveals the source–dependency and along–transport evolution of dust mineralogy as shown by laboratory study

Infrared optical signature reveals the source–dependency and along–transport evolution of dust mineralogy as shown by laboratory study

Measuring Volcanic Ash With High-Spectral Resolution Infrared Sounders: Role of Refractive Indices

Observing ocean ecosystem responses to volcanic ash

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