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Rayleigh lidar temperature measurements in the upper troposphere and lower stratosphere
Institution:1. Key Laboratory for Meteorological Disasters, Ministry of Education (KLME), Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China;2. Institute of Desert Meteorology, CMA, Urumqi 830002, China;3. Guangxi Colleges and Universities, Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541000, China;1. Aldagen, a wholly owned subsidiary of Cytomedix, Inc, Durham, North Carolina, USA;2. CT2 Program, Duke Translational Medicine Institute, Durham, North Carolina, USA;3. Triangle GxP Solutions, LLC, Morrisville, North Carolina, USA;4. Unicorn Pharma Consulting, Brentwood, Tennessee, USA;1. Department of Physics, Harbin Institute of Technology, Harbin 150001, China;2. School of Informatics, Zhejiang Sci-Tech University, 928 2nd Avenue, Xiasha District, Hangzhou 310018, China;1. School of Information Science and Engineering, and Shandong Provincial Key Laboratory of Laser Technology and Application, Shandong University, Qingdao, Shandong Province 266237, China;2. Laser Institute of Shandong Academy of Sciences, Jinan, Shandong Province 250100, China;3. State Key Laboratory of Crystal Materials, Shandong University, Jinan, Shandong Province 250100, China;1. Max-Planck-Institute for Physics, Föhringer Ring 6, 80805 Munich, Germany;2. Institute for Cosmic Ray Research, The University of Tokyo, Kashiwa, Chiba 277-8582, Japan;3. Department of Physics, Konan University, Okamoto 8-9-1, Higashinada-ku, Kobe, Hyogo 658-0072, Japan
Abstract:A single-wavelength Rayleigh lidar system has been used to measure the temperatures in the upper troposphere and lower stratosphere in the night in the altitude range from about 8 to 30km. The temperature derivation is based on an inversion algorithm of the pure Rayleigh backscatter. Calculations include the derivation of the air molecular concentration by an iterative method and the backscattered signals corrected by the background aerosol, which is now found to be low and stable. The uncertainties in estimating the temperature using this method are discussed in detail.The temperature profiles and the tropopause characteristics derived by using the lidar measurements are compared with the radiosonde data. Good agreement is found between these two measurements revealing the potential of this method. The comparison with radiosonde data shows that the lidar measured tropopause temperature is lower by 0.8±1.5K and the tropopause height is higher by 0.45±0.8km than the radiosonde measurements. The climatology of local tropopause (24.57°N,121.13°E) is briefly discussed in terms of a double tropopause formation and seasonal variations of the tropopause height and temperature.
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