Analytically derived thermal correction to reduce overlap bias errors in micro-pulse lidar data

Details Analytically derived thermal correction to reduce overlap bias errors in micro-pulse lidar data Analytically derived thermal correction to reduce overlap bias errors in micro-pulse lidar data

Oct 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5984..171b&link_type=abstract

Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing. Edited by Singh, Upendra N. Proceedings of

Physics

Scientific paper

Micro-Pulse Lidar (MPL) systems have been utilized in a wide variety of field campaigns and are currently deployed at multiple sites around the globe to monitor atmospheric aerosols and clouds on a continuous, multi-year basis. These systems contain a commercial-grade telescope that changes focal-length as a function of instrument temperature resulting in a bias error for retrieved lidar profiles. An analytical model is described that predicts the expected thermal-induced signal response, and is used to correct MPL atmospheric data. Results demonstrate a significant reduction in data bias error.

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