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Proceedings Paper

Fabrication, metrology, and modeling of the space-based lidar telescope for SPARCLE
Author(s): Bruce R. Peters; Patrick J. Reardon; Farzin Amzajerdian; Timothy Scott Blackwell
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Paper Abstract

Over the past 7 years, NASA Marshall Space Flight Center (MSFC) through the Global Hydrology and Climate Center (GHCC) has been working; in collaboration with the University of Alabama in Huntsville (UAH) Center for Applied Optics (CAO), and others; towards demonstrating a solid state coherent Doppler lidar instrument for space-based global measurement of atmospheric winds. The Space Readiness Coherent Lidar Experiment (SPARCLE) was selected by NASA's New Millennium Program to demonstrate the feasibility and technology readiness of space-based coherent wind lidar. The CAO was responsible for the design, development, integration, and testing of the SPARCLE optical system. Operating at 2-micron wavelength, SPARCLE system performance is dominated by the optical quality of the transmitter/receiver optical system. The stringent optical performance requirements coupled with the demanding physical and environmental constraints of a space-based instrument necessitate extensive characterization of the telescope optical performance that is critical to predicting the lidar system efficiency and operation in space. Individual components have been measured prior to assembly and compared to the designed specifications. Based on the individual components, the telescope design was optimized to produce a suitable telescope. Once the telescope is completed, it will be tested and evaluated and the data shall be used to anchor computer based models of the optical system. Commercial optical modeling codes were used to evaluate the performance of the telescope under a variety of anticipated on-orbit environments and will eventually be compared to environmental tests conducted in the course of qualifying the telescope for flight. Detailed analysis using the "as built" data will help to reduce uncertainties within the lidar system model and will increase the accuracy of the lidar performance predictions.

Paper Details

Date Published: 13 February 2001
PDF: 7 pages
Proc. SPIE 4153, Lidar Remote Sensing for Industry and Environment Monitoring, (13 February 2001); doi: 10.1117/12.417103
Show Author Affiliations
Bruce R. Peters, Univ. of Alabama in Huntsville (United States)
Patrick J. Reardon, Univ. of Alabama in Huntsville (United States)
Farzin Amzajerdian, Univ. of Alabama in Huntsville (United States)
Timothy Scott Blackwell, Univ. of Alabama in Huntsville (United States)


Published in SPIE Proceedings Vol. 4153:
Lidar Remote Sensing for Industry and Environment Monitoring
Upendra N. Singh; Upendra N. Singh; Kazuhiro Asai; Toshikasu Itabe; Toshihiro Ogawa; Nobuo Sugimoto, Editor(s)

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