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Title: Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging
Authors: Kahn, RalphPetzold, AndreasWendisch, ManfredBierwirth, EikeDinter, TilmanEsselborn, MichaelFiebig, MarcusHeese, BirgitKnippertz, PeterMüller, DetlefSchladitz, AlexanderVon Hoyningen-HUENE, Wolfgang
Publishers version: https://doi.org/10.1111/j.1600-0889.2008.00398.x
URI: https://doi.org/10.34657/901
https://oa.tib.eu/renate/handle/123456789/376
Issue Date: 2017
Published in: Tellus B: Chemical and Physical Meteorology, Volume 61, Issue 1, Page 239-251
Publisher: Milton Park : Taylor & Francis
Abstract: Coincident observations made over the Moroccan desert during the Sahara mineral dust experiment (SAMUM) 2006 field campaign are used both to validate aerosol amount and type retrieved from multi-angle imaging spectroradiometer (MISR) observations, and to place the suborbital aerosol measurements into the satellite’s larger regional context. On three moderately dusty days during which coincident observations were made, MISR mid-visible aerosol optical thickness (AOT) agrees with field measurements point-by-point to within 0.05–0.1. This is about as well as can be expected given spatial sampling differences; the space-based observations capture AOT trends and variability over an extended region. The field data also validate MISR’s ability to distinguish and to map aerosol air masses, from the combination of retrieved constraints on particle size, shape and single-scattering albedo. For the three study days, the satellite observations (1) highlight regional gradients in the mix of dust and background spherical particles, (2) identify a dust plume most likely part of a density flow and (3) show an aerosol air mass containing a higher proportion of small, spherical particles than the surroundings, that appears to be aerosol pollution transported from several thousand kilometres away.
Keywords: aerosol; albedo; dust; field method; observational method; optical depth; particle size; satellite data; satellite imagery; size distribution
Type: article; Text
Publishing status: publishedVersion
DDC: 550
License: CC BY 4.0 Unported
Link to license: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:Geowissenschaften

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Kahn, Ralph, Andreas Petzold, Manfred Wendisch, Eike Bierwirth, Tilman Dinter, Michael Esselborn, Marcus Fiebig, Birgit Heese, Peter Knippertz, Detlef Müller, Alexander Schladitz and Wolfgang Von Hoyningen-HUENE, 2017. Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging. 2017. Milton Park : Taylor & Francis
Kahn, R., Petzold, A., Wendisch, M., Bierwirth, E., Dinter, T., Esselborn, M., Fiebig, M., Heese, B., Knippertz, P., Müller, D., Schladitz, A. and Von Hoyningen-HUENE, W. (2017) “Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging.” Milton Park : Taylor & Francis. doi: https://doi.org/10.1111/j.1600-0889.2008.00398.x.
Kahn R, Petzold A, Wendisch M, Bierwirth E, Dinter T, Esselborn M, Fiebig M, Heese B, Knippertz P, Müller D, Schladitz A, Von Hoyningen-HUENE W. Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging. Milton Park : Taylor & Francis; 2017.
Kahn, R., Petzold, A., Wendisch, M., Bierwirth, E., Dinter, T., Esselborn, M., Fiebig, M., Heese, B., Knippertz, P., Müller, D., Schladitz, A., & Von Hoyningen-HUENE, W. (2017). Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging (Version publishedVersion). Version publishedVersion. Milton Park : Taylor & Francis. https://doi.org/https://doi.org/10.1111/j.1600-0889.2008.00398.x
Kahn R, Petzold A, Wendisch M, Bierwirth E, Dinter T, Esselborn M, Fiebig M, Heese B, Knippertz P, Müller D, Schladitz A, Von Hoyningen-HUENE W. Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging. Published online 2017. doi:https://doi.org/10.1111/j.1600-0889.2008.00398.x


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