Comparisons of Long-term Trends and Variability in the Middle Atmosphere
Troy A. Wynn, Joshua P. Herron, Vincent B Wickwar
Abstract
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Troy A. Wynn, Joshua P. Herron, Vincent B Wickwar
Abstract
Open-access reader
Rayleigh Lidar is routinely used to measure temperatures in the middle atmosphere from 45 to 90 km. It is well adapted for nightly observation, provides excellent vertical temperature resolution, and does not need external calibration. The USU Rayleigh Lidar (41.74°N 111.81°W) dataset spans more than ten years from September 1993 to July 2003 with 62 monthly profiles (about 5 years of data) spread over that period. With many sources of variation in the atmosphere, all temperature effects cannot be detected. The largest source, and the easiest to measure, is the seasonal variation. In addition there are semiannual variation, secular trends, solar cycle effects, and many others.
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Rayleigh Lidar is routinely used to measure temperatures in the middle atmosphere from 45 to 90 km. It is well adapted for nightly observation, provides excellent vertical temperature resolution, and does not need external calibration. The USU Rayleigh Lidar (41.74°N 111.81°W) dataset spans more than ten years from September 1993 to July 2003 with 62 monthly profiles (about 5 years of data) spread over that period. With many sources of variation in the atmosphere, all temperature effects cannot be detected. The largest source, and the easiest to measure, is the seasonal variation. In addition there are semiannual variation, secular trends, solar cycle effects, and many others.
Key concepts: Atmosphere (unit), Term (time), Environmental science, Meteorology, Climatology, Geography, Geology, Physics