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Full-Text Articles in Physical Sciences and Mathematics
P16. Ralmo Rotational Raman Temperature Retrieval: First Steps Towards The Application Of Optimal Estimation Method (Oem), Shayamila N. Mahagammulla Gamage, Robert Sica, Alexander Haefele
P16. Ralmo Rotational Raman Temperature Retrieval: First Steps Towards The Application Of Optimal Estimation Method (Oem), Shayamila N. Mahagammulla Gamage, Robert Sica, Alexander Haefele
Western Research Forum
Background:
Temperature is an important atmospheric parameter that plays an extensive role in the fields of atmospheric dynamics, climatology, meteorology, and chemistry. Light detection and ranging (lidar), is a remote sensing technology that can be used for atmospheric temperature profiling. A lidar transmits short laser pulses into the atmosphere and the light scattered by the particles in the atmosphere is collected and measured using a telescope. The atmospheric temperatures can be retrieved by analysing the Pure Rotational Raman (PRR) scatter measurements from the nitrogen and oxygen molecules in the atmosphere.
Methods:
In this study use the Optimal Estimation Method (OEM) …
P07. Characterizing The Purple Crow Lidar To Investigate Potential Sources Of Wet Bias, Jeffrey Vankerkhove, Robert J. Sica, Robin Wing, Steve Argall
P07. Characterizing The Purple Crow Lidar To Investigate Potential Sources Of Wet Bias, Jeffrey Vankerkhove, Robert J. Sica, Robin Wing, Steve Argall
Western Research Forum
The Purple Crow Lidar is a large aperture lidar, capable of retrieving water vapor profiles into the stratosphere. Water vapor in the upper Troposphere-Lower Stratosphere (UTLS) region is of particular importance in understanding Earth's radiative budget and atmospheric dynamics, making accurate UTLS measurements crucial. A comparison campaign with the NASA/GSFC ALVICE mobile lidar in the spring of 2012 showed PCL water vapor measurements were consistently larger than those of ALVICE in the lower stratosphere, prompting an investigation to characterize the system. The investigation looks into how changes to the data processing approach, as well as applying additional instrumental corrections, would …