Issue |
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
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Article Number | 16003 | |
Number of page(s) | 4 | |
Section | Poster Session (Lidar Cloud Studies) | |
DOI | https://doi.org/10.1051/epjconf/201611916003 | |
Published online | 07 June 2016 |
https://doi.org/10.1051/epjconf/201611916003
An Autonomous Polarized Raman Lidar System Designed for Summit Camp, Greenland
1 Aerospace Engineering Sciences, University of Colorado
2 School of Earth and Environment, University of Leeds
3 Cooperative Institute for Research in Environmental Science, University of Colorado
4 Atmospheric and Oceanic Sciences, University of Colorado
5 Research Aviation Facility, National Center for Atmospheric Research
* Presenting Author
Published online: 7 June 2016
A dearth of high-spatial and temporal resolution measurements of atmospheric state variables in the Arctic directly inhibits scientific understanding of radiative and precipitation impacts on the changing surface environment. More reliable and frequent measurements are needed to better understand Arctic weather processes and constrain model predictions. To partially address the lack of Artic observations, a new autonomous Raman lidar system, which will measure water vapor mixing ratio, temperature, extinction, and cloud phase profiles through the troposphere, is designed for deployment to Summit Camp, Greenland (72° 36’ N, 38° 25’ W, 3250 [m]). This high-altitude Arctic field site has co-located ancillary equipment such as a Doppler millimeter cloud radar, microwave radiometers, depolarization lidars, ceiliometer, an infrared interferometer and twice-daily radiosondes. The current suite of instruments allows for a near comprehensive picture of the atmospheric state above Summit but increased spatial and temporal resolution of water vapor and temperature will reveal detailed microphysical information. A system description will be provided with an emphasis on the Monte Carlo safety analysis done to ensure eye safety in all relevant weather conditions.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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