Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3539-2021
https://doi.org/10.5194/essd-13-3539-2021
Data description paper
 | 
22 Jul 2021
Data description paper |  | 22 Jul 2021

Turbulence dissipation rate estimated from lidar observations during the LAPSE-RATE field campaign

Miguel Sanchez Gomez, Julie K. Lundquist, Petra M. Klein, and Tyler M. Bell

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Cited articles

Aitken, M. L., Rhodes, M. E., and Lundquist, J. K.: Performance of a Wind-Profiling Lidar in the Region of Wind Turbine Rotor Disks, J. Atmos. Ocean. Tech., 29, 347–355, https://doi.org/10.1175/JTECH-D-11-00033.1, 2012. 
Balsley, B. B., Frehlich, R. G., Jensen, M. L., and Meillier, Y.: High-Resolution In Situ Profiling through the Stable Boundary Layer: Examination of the SBL Top in Terms of Minimum Shear, Maximum Stratification, and Turbulence Decrease, J. Atmos. Ocean. Tech., 63, 1291–1307, https://doi.org/10.1175/JAS3671.1, 2006. 
Barlow, R.: Statistics: a guide to the use of statistical methods in the physical sciences, Wiley, Chichester, England, New York, 204 pp., 1989. 
Bell, T. M., Klein, P. M., Lundquist, J. K., and Waugh, S.: Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign, Earth Syst. Sci. Data, 13, 1041–1051, https://doi.org/10.5194/essd-13-1041-2021, 2021. 
Berg, L. K., Liu, Y., Yang, B., Qian, Y., Olson, J., Pekour, M., Ma, P.-L., and Hou, Z.: Sensitivity of Turbine-Height Wind Speeds to Parameters in the Planetary Boundary-Layer Parametrization Used in the Weather Research and Forecasting Model: Extension to Wintertime Conditions, Bound.-Lay. Meteorol., 170, 507–518, https://doi.org/10.1007/s10546-018-0406-y, 2019. 
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Short summary
In July 2018, the International Society for Atmospheric Research using Remotely-piloted Aircraft (ISARRA) hosted a flight week to demonstrate unmanned aircraft systems' capabilities in sampling the atmospheric boundary layer. Three Doppler lidars were deployed during this week-long experiment. We use data from these lidars to estimate turbulence dissipation rate. We observe large temporal variability and significant differences in dissipation for lidars with different sampling techniques.
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