Search Results
Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging
2017, Kahn, Ralph, Petzold, Andreas, Wendisch, Manfred, Bierwirth, Eike, Dinter, Tilman, Esselborn, Michael, Fiebig, Marcus, Heese, Birgit, Knippertz, Peter, Müller, Detlef, Schladitz, Alexander, Von Hoyningen-HUENE, Wolfgang
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.
Spatial distribution and optical properties of Saharan dust observed by airborne high spectral resolution lidar during SAMUM 2006
2017, Esselborn, Michael, Wirth, Martin, Fix, Andreas, Weinzierl, Bernadett, Rasp, Katharina, Tesche, Matthias, Petzold, Andreas
Airborne measurements of pure Saharan dust extinction and backscatter coefficients, the corresponding lidar ratio and the aerosol optical thickness (AOT) have been performed during the Saharan Mineral Dust Experiment 2006, with a high spectral resolution lidar. Dust layers were found to range from ground up to 4–6 km above sea level (asl). Maximum AOT values at 532 nm, encountered within these layers during the DLR Falcon research flights were 0.50–0.55. A significant horizontal variability of the AOT south of the High Atlas mountain range was observed even in cases of a well-mixed dust layer. High vertical variations of the dust lidar ratio of 38–50 sr were observed in cases of stratified dust layers. The variability of the lidar ratio was attributed to dust advection from different source regions. The aerosol depolarization ratio was about 30% at 532 nm during all measurements and showed only marginal vertical variations.
Regional modelling of Saharan dust and biomass-burning smoke, Part I: Model description and evaluation
2017, Heinold, Bernd, Tegen, Ina, Schepanski, Kerstin, Tesche, Matthias, Esselborn, Michael, Freudenthaler, Volker, Gross, Silke, Kandler, Konrad, Knippertz, Peter, Müller, Detlef, Schladitz, Alexander, Toledano, Carlos, Weinzierl, Bernadett, Ansmann, Albert, Althausen, Dietrich, Müller, Thomas, Petzold, Andreas, Wiedensohler, Alfred
The spatio-temporal evolution of the Saharan dust and biomass-burning plume during the SAMUM-2 field campaign in January and February 2008 is simulated at 28 km horizontal resolution with the regional model-system COSMOMUSCAT. The model performance is thoroughly tested using routine ground-based and space-borne remote sensing and local field measurements. Good agreement with the observations is found in many cases regarding transport patterns, aerosol optical thicknesses and the ratio of dust to smoke aerosol. The model also captures major features of the complex aerosol layering. Nevertheless, discrepancies in the modelled aerosol distribution occur, which are analysed in detail. The dry synoptic dynamics controlling dust uplift and transport during the dry season are well described by the model, but surface wind peaks associated with the breakdown of nocturnal low-level jets are not always reproduced. Thus, a strong dust outbreak is underestimated. While dust emission modelling is a priori more challenging, since strength and placement of dust sources depend on on-line computed winds, considerable inaccuracies also arise in observation-based estimates of biomass-burning emissions. They are caused by cloud and spatial errors of satellite fire products and uncertainties in fire emission parameters, and can lead to unrealistic model results of smoke transport.
Regional Saharan dust modelling during the SAMUM 2006 campaign
2017, Heinold, Bernd, Tegen, Ina, Esselborn, Michael, Kandler, Konrad, Knippertz, Peter, Müller, Detlef, Schladitz, Alexander, Tesche, Matthias, Weinzierl, Bernadett, Ansmann, Albert, Althausen, Dietrich, Laurent, Benoit, Massling, Andreas, Müller, Thomas, Petzold, Andreas, Schepanski, Kerstin, Wiedensohler, Alfred
The regional dust model system LM-MUSCAT-DES was developed in the framework of the SAMUM project. Using the unique comprehensive data set of near-source dust properties during the 2006SAMUMfield campaign, the performance of the model system is evaluated for two time periods in May and June 2006. Dust optical thicknesses, number size distributions and the position of the maximum dust extinction in the vertical profiles agree well with the observations. However, the spatio-temporal evolution of the dust plumes is not always reproduced due to inaccuracies in the dust source placement by the model. While simulated winds and dust distributions are well matched for dust events caused by dry synoptic-scale dynamics, they are often misrepresented when dust emissions are caused by moist convection or influenced by small-scale topography that is not resolved by the model. In contrast to long-range dust transport, in the vicinity of source regions the model performance strongly depends on the correct prediction of the exact location of sources. Insufficiently resolved vertical grid spacing causes the absence of inversions in the model vertical profiles and likely explains the absence of the observed sharply defined dust layers.