Abstract
This paper reports the atmospheric temperature profile measurements using a University of Wisconsin-Madison High Spectral Resolution Lidar (HSRL) and describes improvements in the instrument performance. HSRL discriminates between Mie and Rayleigh backscattering [1]. Thermal motion of molecules broadens the spectrum of the transmitted laser light due to Doppler effect. The HSRL exploits this property to allow the absolute calibration of the lidar and measurements of the aerosol volume backscatter coefficient. Two iodine absorption filters with different line widths are used to resolve temperature sensitive changes in Rayleigh backscattering for atmospheric temperature profile measurements.
Highlights
The atmospheric temperature is an important parameter characterizing the state of the atmosphere
In order to correct for these changes, we introduce high intensity green LED pulses (30 μs wide) into the receiver field-of-view 180 μs after the transmitted laser pulse
The ratio is applied to the signals in one of the channels
Summary
The atmospheric temperature is an important parameter characterizing the state of the atmosphere. Accurate temperature profiles are required for modeling atmospheric processes as well as for calibration of remote sensing instruments. Lidars are capable of measuring the atmospheric temperature with a relatively high spatial and temporal resolution. Several investigators have used High Spectral Resolution Lidar for temperature profiling [2, 3]. The standard HSRL calibration requires the atmospheric temperature and pressure profile and typically uses radiosonde measurements. In order to enable temperature profile measurements, HSRL receiver has two iodine absorption filters with different absorption line widths [4]. This measurement capability makes the lidar intrinsically calibrated. The HSRL temperature measurement technique requires superior instrument performance. In order to achieve good measurement accuracy, the instrument has several modifications, which have improved instrument performance and data quality for standard HSRL measurements
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