By Christian J. Grund, Scott P. Sandberg (auth.), Dr. Albert Ansmann, Dr. Roland Neuber, Dr. Patrick Rairoux, Dr. Ulla Wandinger (eds.)
Lidar or laser radar, the depth-resolved distant dimension of atmospheric parameters with optical skill, has turn into a massive device within the box of atmospheric and environmental distant sensing. during this quantity the newest growth within the improvement of lidar tools, experiments, and functions is defined. The content material relies on chosen and carefully refereed papers awarded on the 18th overseas Laser Radar convention, Berlin, 22-26 July 1996. The publication is split into six components which disguise the themes of tropospheric aerosols and clouds, lidar in area, wind, water vapor, troposheric hint gases and plumes, and stratospheric and mesospheric profiling. As a complement to basic lidar textbooks this quantity may possibly function a consultant for scientists, engineers, and graduate scholars in the course of the blossoming box of recent lidar concepts and their contribution to atmospheric and environmental research.
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Extra resources for Advances in Atmospheric Remote Sensing with Lidar: Selected Papers of the 18th International Laser Radar Conference (ILRC), Berlin, 22–26 July 1996
The SRL acquired more than 123 hours of water vapor and aerosol profile data over 15 nights of operations during the first ARM Remote Cloud Sensing (RCS) Intensive Operations Period (lOP) held in April 1994 at the Southern Great Plains (SGP) site near Lamont, OK. An additional 67 hours of data were acquired over 16 nights of operation during the CAMEX-2 (Convection and Moisture-2) and LASE (Laser Atmospheric Sensing Experiment) held at Wallops Island, Virginia in August and September, 1995. The relative humidity and aerosol extinction profiles derived from lidar data have been used to examine how relative humidity affects aerosol extinction.
Quart. J. Roy. ,98(1972),590-603 Inference of Atmospheric Boundary Layer Water Vapor and Temperature Profiles over the Ocean Using Airborne Lidar Data Stephen P. Palm! H. , Seabrook, Md 20706 2 Jet Propulsion Laboratory, Pasadena, California NASA Goddard Space Flight Center, Greenbelt, Md 20771 University of Maryland, Baltimore County, Catonsville, Md Abstract. A new technique to estimate profiles of mixing ratio and potential temperature through the depth of the Planetary Boundary Layer (PBL) over the ocean using airborne lidar and multi-channel radiometer data is presented.
Thus we have tried to use also during nighttime the parameterization generally adopted for the (daytime) convective boundary layer, using as relevant scaling parameters ~, w. and qo, . The humidity scaling parameter, qo, is defined as: q* w'q1 =__0 . (2) w* 20 15 0- 2 -q 2 q. 0 Zj Fig. )2, as a function of the normalized height, zlZi• (e) Raman lidar; (-) least squares best fit; (- -) theoretical function. )2 as a function of x=z! Zi , we have found that two different behaviours appeared. Thus the profiles of humidity variance have been grouped into two categories: the first one comprises 70 % of the observations, and the second one includes the remaining 30 %.
Advances in Atmospheric Remote Sensing with Lidar: Selected Papers of the 18th International Laser Radar Conference (ILRC), Berlin, 22–26 July 1996 by Christian J. Grund, Scott P. Sandberg (auth.), Dr. Albert Ansmann, Dr. Roland Neuber, Dr. Patrick Rairoux, Dr. Ulla Wandinger (eds.)