[Grad-postdoc-assn] Reminder: ASP seminar (Sep 17th 2008) at 11:00 am

Xiaoli Luan luanxl at ucar.edu
Tue Sep 16 17:39:38 MDT 2008


Dear all, 

    This wednesday  we have our first ASP seminar (11:00 am at FL2 1022), All postdocs or students are welcome to join Prof. Xinzhao Chu for lunch after the seminar.
Lidar Remote Sensing of atmosphere and Space: A New Horizon
 

Xinzhao Chu

 

Cooperative Institute for Research in Environmental Sciences &

Department of Aerospace Engineering Sciences, University of Colorado at Boulder

  

 

Abstract

Light Detection and Ranging (LIDAR) began with cw searchlights in bistatic configuration for stratosphere study in 1930s. The invention of lasers in 1960s and the development of laser spectroscopy enabled the development of Mie, Rayleigh, DIAL, resonance fluorescence, and wind Doppler lidars with Q-switched ns pulsed lasers in monostatic configuration. To date Rayleigh lidars have matured in detecting atmospheric density and temperature for study of thermal structure, gravity, tidal, and planetary waves in the aerosol-free region of 30-90 km. Differential absorption lidars (DIAL) have been used to monitor stratospheric ozone for two decades. Resonance fluorescence lidars have advanced significantly in the last 30 years capable of profiling temperature, wind, and density in middle and upper atmosphere for study of thermal structure, composition, chemistry, and wave dynamics. These lidars also function as Mie lidars to detect the stratospheric and mesospheric aerosols and clouds. It is fair to say that lidar has become a key instrument for atmosphere and space research because of its high capabilities to simultaneously measure wind, temperature, density, aerosol/cloud, and minor species in both day and night. This seminar will provide a broad overview of lidar remote sensing and its applications in atmosphere and space sciences. The need for more sophisticated lidar measurements will be discussed in the context of ongoing and future lidar innovation and observational mission.

 

Thanks. 

Xiaoli , Kim,  Knut, Ethan and Charles
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