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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 5
Atmos. Meas. Tech., 8, 1935–1949, 2015
https://doi.org/10.5194/amt-8-1935-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 1935–1949, 2015
https://doi.org/10.5194/amt-8-1935-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 May 2015

Research article | 06 May 2015

A model sensitivity study of the impact of clouds on satellite detection and retrieval of volcanic ash

A. Kylling et al.

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Cited articles

Anderson, G., Clough, S., Kneizys, F., Chetwynd, J., and Shettle, E.: AFGL atmospheric constituent profiles (0–120 km), Tech. Rep. AFGL-TR-86-0110, Air Force Geophys. Lab., Hanscom Air Force Base, Bedford, Mass., 1986.
Bugliaro, L., Zinner, T., Keil, C., Mayer, B., Hollmann, R., Reuter, M., and Thomas, W.: Validation of cloud property retrievals with simulated satellite radiances: a case study for SEVIRI, Atmos. Chem. Phys., 11, 5603–5624, https://doi.org/10.5194/acp-11-5603-2011, 2011.
Buras, R. and Mayer, B.: Efficient unbiased variance reduction techniques for Monte Carlo simulations of radiative transfer in cloudy atmospheres: The solution, J. Quant. Spectrosc. Radiat. Transfer, 112, 434–447, https://doi.org/10.1016/j.jqsrt.2010.10.005, 2011.
Casadevall, T. J.: The 1989–1990 eruption of Redoubt Volcano, Alaska, impacts on aircraft operations, J. Volcanol. Geoth. Res., 62, 301–316, 1994.
Clarisse, L., Prata, F., Lacour, J. L., Hurtmans, D., Clerbaux, C., and Coheur, P. F.: A correlation method for volcanic ash detection using hyperspectral infrared measurements, Geophys. Res. Lett., 37, L19806, https://doi.org/10.1029/2010GL044828, 2010.
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Short summary
Water and ice clouds affect detection and retrieval of volcanic ash clouds by satellite instruments. Synthetic infrared satellite images were generated for the Eyjafjallajokull 2010 and Grimsvotn 2011 eruptions by combining weather forecast, ash transport and radiative transfer modelling. Clouds decreased the number of pixels identified as ash and generally increased the retrieved ash-mass loading compared to the cloudless case; however, large differences were seen between scenes.
Water and ice clouds affect detection and retrieval of volcanic ash clouds by satellite...
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