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Depolarization ratio profiling at several wavelengths in pure Saharan dust during SAMUM 2006

2017, Freudenthaler, Volker, Esselborn, Michael, Wiegner, Matthias, Heese, Birgit, Tesche, Matthias, Ansmann, Albert, Müller, Detlef, Althausen, Dietrich, Wirth, Martin, Fix, Andreas, Ehret, Gerhard, Knippertz, Peter, Toledano, Carlos, Gasteiger, Josef, Garhammer, Markus, Seefeldner, Meinhard

Vertical profiles of the linear particle depolarization ratio of pure dust clouds were measured during the Saharan Mineral Dust Experiment (SAMUM) at Ouarzazate, Morocco (30.9◦N, –6.9◦E), close to source regions in May–June 2006, with four lidar systems at four wavelengths (355, 532, 710 and 1064 nm). The intercomparison of the lidar systems is accompanied by a discussion of the different calibration methods, including a new, advanced method, and a detailed error analysis. Over the whole SAMUM periode pure dust layers show a mean linear particle depolarization ratio at 532 nm of 0.31, in the range between 0.27 and 0.35, with a mean Ångström exponent (AE, 440–870 nm) of 0.18 (range 0.04–0.34) and still high mean linear particle depolarization ratio between 0.21 and 0.25 during periods with aerosol optical thickness less than 0.1, with a mean AE of 0.76 (range 0.65–1.00), which represents a negative correlation of the linear particle depolarization ratio with the AE. A slight decrease of the linear particle depolarization ratio with wavelength was found between 532 and 1064 nm from 0.31 ± 0.03 to 0.27 ± 0.04.

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Vertical profiling of convective dust plumes in southern Morocco during SAMUM

2017, Ansmann, Albert, Tesche, Matthias, Knippertz, Peter, Bierwirth, Eike, Althausen, Dietrich, Müller, Detlef, Schulz, Oliver

Lifting of dust particles by dust devils and convective plumes may significantly contribute to the global mineral dust budget. During the Saharan Mineral Dust Experiment (SAMUM) in May–June 2006 vertical profiling of dusty plumes was performed for the first time. Polarization lidar observations taken at Ouarzazate (30.9◦N, 6.9◦W, 1133 m height above sea level) are analyzed. Two cases with typical and vigorous formation of convective plumes and statistical results of 5 d are discussed. The majority of observed convective plumes have diameters on order of 100–400 m. Most of the plumes (typically 50–95%) show top heights <1 km or 0.3DLH with the Saharan dust layer height DLH of typically 3–4 km. Height-to-diameter ratio is mostly 2–10. Maximum plume top height ranges from 1.1 to 2.9 km on the 5 d. 5–26 isolated plumes and clusters of plumes per hour were detected. A low dust optical depth (<0.3) favours plume evolution. Observed surface, 1 and 2–m air temperatures indicate that a difference of 17–20 K between surface and 2-m air temperature and of 0.9–1 K between the 1 and 2-m temperatures are required before convective plumes develop. Favourable horizontal wind speeds are 2–7 ms−1.

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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.

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Dust mobilization and transport in the northern Sahara during SAMUM 2006 - A meteorological overview

2017, Knippertz, Peter, Ansmann, Albert, Althausen, Dietrich, Müller, Detlef, Tesche, Matthias, Bierwirth, Eike, Dinter, Tilman, Müller, Thomas, Von Hoyningen-Huene, Wolfgang, Schepanski, Kerstin, Wendisch, Manfred, Heinold, Bernd, Kandler, Konrad, Petzold, Andreas, Tegen, Ina

The SAMUM field campaign in southern Morocco in May/June 2006 provides valuable data to study the emission, and the horizontal and vertical transports of mineral dust in the Northern Sahara. Radiosonde and lidar observations show differential advection of air masses with different characteristics during stable nighttime conditions and up to 5-km deep vertical mixing in the strongly convective boundary layer during the day. Lagrangian and synoptic analyses of selected dust periods point to a topographic channel from western Tunisia to central Algeria as a dust source region. Significant emission events are related to cold surges from the Mediterranean in association with eastward passing upper-level waves and lee cyclogeneses south of the Atlas Mountains. Other relevant events are local emissions under a distinct cut-off low over northwestern Africa and gust fronts associated with dry thunderstorms over the Malian and Algerian Sahara. The latter are badly represented in analyses from the European Centre for Medium–Range Weather Forecasts and in a regional dust model, most likely due to problems with moist convective dynamics and a lack of observations in this region. This aspect needs further study. The meteorological source identification is consistent with estimates of optical and mineralogical properties of dust samples.