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Atmospheric Physics: Background – Methods – Trends (Research Topics in Aerospace)

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  1. Atmospheric Physics : Background - Methods - Trends.
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Adaptive, tolerant and efficient composite structures Martin Wiedemann. Air Transport System Dieter Schmitt. Atmospheric Physics Ulrich Schumann. Back cover copy On the occasion of the 50th anniversary of the Institute of Atmospheric Physics of the German Aerospace Center DLR , this book presents more than 50 chapters highlighting results of the institute's research. The second part of the book gives a multifaceted insight into the various measurement and simulation methods used at the Institute to gain a deeper understanding of the atmosphere and its processes.

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Here, the reader learns about exciting techniques such as taking lightning measurements during storms or detecting ice particles in clouds from space. The Institute's broad competence in simulating atmospheric processes up to the scale of the Earth system is explained as well. These two subject areas open the third section of the book, which is about the scientific 'trends' in atmospheric research. The authors manage to describe the measurement of the ash cloud over Europe and the effects of shutting down almost the entire European air space in in a knowledgeable, gripping and generally understandable way.


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The interesting insights given will be accessible to lay readers as well. Other current hot topics affecting society are discussed as well. The high spectral resolution lidar HSRL method based on an iodine absorption filter and a frequency doubled pulsed Nd: YAG laser, developed at DLR, has the capability to directly measure the extinction and backscatter coefficients of aerosols and clouds. Airborne HSRL data from four different field experiments are used in the frame of this project to build up an aerosol classification.

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The method is based on HSRL measurements of a set of intensive aerosol properties, in particular the lidar ratio, the particle linear depolarization ratio and the color ratio of backscatter. Statistical characterization of humidity variability: The distribution of water vapour in the atmosphere shows variability on all spatial scales. An accurate representation of cloud processes in climate models with limited resolution relies on a statistical description of the unresolved structures.


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