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

Timothy A. Berkoff; Qiang Ji; Elizabeth Reid; Sandra Valencia; Ellsworth J. Welton; James D. Spinhirne

doi:10.1117/12.627737

1 November 2005 Analytically derived thermal correction to reduce overlap bias errors in micro-pulse lidar data

Timothy A. Berkoff, Qiang Ji, Elizabeth Reid, Sandra Valencia, Ellsworth J. Welton, James D. Spinhirne

Proceedings Volume 5984, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing; 59840R (2005) https://doi.org/10.1117/12.627737
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

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.

Citation Download Citation

Timothy A. Berkoff, Qiang Ji, Elizabeth Reid, Sandra Valencia, Ellsworth J. Welton, and James D. Spinhirne "Analytically derived thermal correction to reduce overlap bias errors in micro-pulse lidar data", Proc. SPIE 5984, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing, 59840R (1 November 2005); https://doi.org/10.1117/12.627737

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