Coherent Doppler LIDAR (Light Detection and Ranging) has been widely used to provide measurements of several boundary layer parameters such as profiles of wind speed, wind direction, vertical velocity statistics, mixing layer heights and turbulent kinetic energy (TKE). An important aspect of providing this wide range of meteorological data is to properly characterize the uncertainty associated with these measurements.With the above intent in mind, the Lidar Uncertainty Measurement Experiment (LUMEX) was conducted at Erie, Colorado during the period June 23 rd to July 13 th , 2014. The major goals of this experiment were the following: Characterize sampling error for vertical velocity statistics Analyze sensitivities of different Doppler lidar systems Compare various single and dual Doppler retrieval techniques Characterize error of spatial representativeness for separation distances up to 3 km Validate turbulence analysis techniques and retrievals from Doppler lidars This experiment brought together 5 Doppler lidars, both commercial and research grade, for a period of three weeks for a comprehensive intercomparison study. The Doppler lidars were deployed at the Boulder Atmospheric Observatory (BAO) site in Erie, site of a 300 m meteorological tower. This tower was instrumented with six sonic anemometers at levels from 50 m to 300 m with 50 m vertical spacing.A brief overview of the experiment outline and deployment will be presented. Results from the sampling error analysis and its implications on scanning strategy will be discussed.

The Experimental Cloud Lidar Pilot Study (ECLIPS) was initiated to obtain statistics on cloud-base height, extinction, optical depth, cloud brokenness, and surface fluxes. Two observational phases have taken place, in October-December 1989 and April-July 1991, with intensive 30-day periods being selected within the two time intervals. Data are being archived at NASA Langley Research Center and, once there, are readily available to the international scientific community.

Optical remote sensing measurementsof cirrus cloud properties were collected by one airborne and four ground-based lidar systems over a 32-h period during this case study from the First ISCCP(International Satellite Cloud Climatology Program) Regional Experiment (FIRE) Intensive Field Observation (IFO) program. The lidar systems were variously equipped to collect linear depolarization, intrinsically calibrated backscatter, and Doppler velocity information. Data presented here describe the temporal evolution and spatial distribution of cirrus clouds over an area encompassingsouthern and central Wisconsin. The cirrus cloud types include: a) dissipating subvisual and "thin" fibrous cirrus cloud bands, b) an isolated mesoscale uncinus complex (MUC), c) a large-scale, deep clout that developed into an organized cirrus structure within the lidar array, and d) a series of intensifying mesoscale cirrus cloud masses. Although the cirrus frequently developed in the vertical from particle fallstreaks emanating from generating regions at or near cloud tops, glaciating supercooled (-30 ° to -35°C) altocumulus clouds contributed to the production of ice mass at the base of the deep cirrus cloud, apparently even through riming, and other mechanisms involving evaporation, wave motions, and radiative effects are indicated. The generating regions ranged in scale from ~1.0_km cirrus uncinus cells, to organized MUC structures up to ~120-km across. IDepartment of Meteorology, University of Utah, Salt Lake City, UT 84112 _ '_:' _ 2Department of Meteorology, University of Wisconsin-Madison, Madison, WI 53706 w_ 3Environmental Sensors Branch, NASA Goddard Space Flight Center, Greenbelt, MD_I "J,, 20771 _ _Atmospheric Lidar Program, Wave Propagation Laboratory, NOAA Environmental _ :/ Research Laboratories, Boulder, CO 80303 SNASA Langley Research Center, Hampton, VA 23665 " _ i