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Investigation of the Aerosol-Cloud relation in polluted clouds

Investigation of the Aerosol-Cloud relation in polluted clouds. Göran Frank Dept. of Physics, Div. of Nuclear Physics Lund Institute of Technology, Lund University.

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Investigation of the Aerosol-Cloud relation in polluted clouds

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  1. Investigation of the Aerosol-Cloud relation in polluted clouds Göran Frank Dept. of Physics, Div. of Nuclear Physics Lund Institute of Technology, Lund University

  2. Objective:Improved understanding of the relations between aerosol properties, cloud properties and meteorological properties in the cloud formation process. This is important for a better understanding of the: • Cloud formation process • Cloud optical properties • Precipitation initiation and cloud life time • Aerosol climate effects The cloud number size distribution is a crucial property of a cloud, and it is of great importance to improve the description of which parameters affect it, and to what extent.

  3. How to reach the goals:In-cloud long term measurements at the meteorological and cloud research station at the summit of mount Brocken in Germany. Measured parameters: • Aerosol (dry) number size distribution • Cloud droplet and cloud interstitial particle number size distribution • Relation between these distributions on single particle-drop basis • Chemical composition of aerosol particles (intensive periods) (AMS) • Cloud liquid water content (PVM) • Cloud droplet number size distr. (for validation) (FSSP) • Aerosol number size distr. (SMPS) • Meteorological parameters: wind velocity, temperature, pressure, etc. • Cloud base height (celiometer + manual observations) • Cloude type (manual observation) • In-cloud relative humidity (supersaturation) ??? (CCN-counter) • Updraft velocity will be estimated from calculations using measured parameters • Unique instrumentation: The Droplet Aerosol Analyser DAA

  4. Droplet Aerosol Analyser (DAA) • Unique instrumentation • Measures: • Ambient size of cloud droplets and cloud interstitial particles • Size of dry residual particles after drying • Number of particles • Unique three-parameter data-set • Developed in Lund (Bengt Martinsson, et al.) • Development of second generation in progress: • Improved performance for long-term measurements • Improved time resolution (from 15-20 min to 4-5 min)

  5. Team: • Dr. Göran Frank , team leader • Prof. Bengt Martinsson • Dr. Staffan Sjögren, post doc (starting 2008-07-01) • PhD-student (open position) • Anna Persson, Bachelor work student • More diploma workers needed Collaboration with BTU Cottbus, Air Chemistry Group (situated in Berlin): • Dr. Wolfgang Wieprecht • Dr. Karin Acker • Prof. Detlev Möller

  6. Long term research goal:Improved understanding of the relations between aerosol properties, cloud properties and meteorological properties in the cloud formation process.(Same as project objective) Improved methods: • Development of third generation DAA for aircraft measurements.

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