Design of an Autonomous Polarized Raman Lidar for Arctic Observations

Thursday, 18 December 2014
Robert Andrew Stillwell1, Ryan Reynolds Neely III2,3, Michael O'Neill4, Jeffrey P Thayer1 and Matthew M Hayman5, (1)University of Colorado at Boulder, Boulder, CO, United States, (2)National Center for Atmospheric Research, Advanced Studies Program, Boulder, CO, United States, (3)University of Leeds, Leeds, United Kingdom, (4)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (5)NCAR, Research Aviation Facility, Boulder, CO, United States
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 through the troposphere water vapor mixing ratio, temperature, extinction, and cloud phase profiles, is under development for deployment to Summit Camp, Greenland (72° 36'N, 38° 25'W, 3250m). 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 which are part of the Integrated Characterization of Energy, Clouds, Atmospheric State and Precipitation at Summit (ICECAPS) project and the Arctic Observing Network (AON). 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 are needed to reveal detailed microphysical information. In this presentation, a system description will be provided with an emphasis on the features necessary for autonomous, full diurnal operation, and how the new system will help fill the observation gap within the already existing sensor suite.