Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4291-2018
https://doi.org/10.5194/amt-11-4291-2018
Research article
 | 
20 Jul 2018
Research article |  | 20 Jul 2018

Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign

Nicola Bodini, Julie K. Lundquist, and Rob K. Newsom

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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. a
Albertson, J. D., Parlange, M. B., Kiely, G., and Eichinger, W. E.: The average dissipation rate of turbulent kinetic energy in the neutral and unstable atmospheric surface layer, J. Geophys. Res.-Atmos., 102, 13423–13432, 1997. a
Babić, K., Bencetić Klaić, Z., and Večenaj, Ž.: Determining a turbulence averaging time scale by Fourier analysis for the nocturnal boundary layer, Geofizika, 29, 35–51, 2012. a
Baik, J.-J. and Kim, J.-J.: A numerical study of flow and pollutant dispersion characteristics in urban street canyons, J. Appl. Meteorol., 38, 1576–1589, 1999. a
Balsley, B., Frehlich, R., Jensen, M., 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. Sci., 63, 1291–1307, 2006. a
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Short summary
Turbulence within the atmospheric boundary layer is critically important to transfer heat, momentum, and moisture. Currently, improved turbulence parametrizations are crucially needed to refine the accuracy of model results at fine horizontal scales. In this study, we calculate turbulence dissipation rate from sonic anemometers and discuss a novel approach to derive turbulence dissipation from profiling lidar measurements.