Articles | Volume 10, issue 7
https://doi.org/10.5194/amt-10-2595-2017
https://doi.org/10.5194/amt-10-2595-2017
Research article
 | 
20 Jul 2017
Research article |  | 20 Jul 2017

Improved observations of turbulence dissipation rates from wind profiling radars

Katherine McCaffrey, Laura Bianco, and James M. Wilczak

Related authors

A comparison of vertical velocity variance measurements from wind profiling radars and sonic anemometers
Katherine McCaffrey, Laura Bianco, Paul Johnston, and James M. Wilczak
Atmos. Meas. Tech., 10, 999–1015, https://doi.org/10.5194/amt-10-999-2017,https://doi.org/10.5194/amt-10-999-2017, 2017
Short summary
Identification of tower-wake distortions using sonic anemometer and lidar measurements
Katherine McCaffrey, Paul T. Quelet, Aditya Choukulkar, James M. Wilczak, Daniel E. Wolfe, Steven P. Oncley, W. Alan Brewer, Mithu Debnath, Ryan Ashton, G. Valerio Iungo, and Julie K. Lundquist
Atmos. Meas. Tech., 10, 393–407, https://doi.org/10.5194/amt-10-393-2017,https://doi.org/10.5194/amt-10-393-2017, 2017
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Mid-Atlantic nocturnal low-level jet characteristics: a machine learning analysis of radar wind profiles
Maurice Roots, John T. Sullivan, and Belay Demoz
Atmos. Meas. Tech., 18, 1269–1282, https://doi.org/10.5194/amt-18-1269-2025,https://doi.org/10.5194/amt-18-1269-2025, 2025
Short summary
Mitigating radome-induced bias in X-band weather radar polarimetric moments using an adaptive discrete Fourier transform algorithm
Padmanabhan Thiruvengadam, Guillaume Lesage, Ambinintsoa Volatiana Ramanamahefa, and Joël Van Baelen
Atmos. Meas. Tech., 18, 1185–1191, https://doi.org/10.5194/amt-18-1185-2025,https://doi.org/10.5194/amt-18-1185-2025, 2025
Short summary
GNSS-RO residual ionospheric error (RIE): a new method and assessment
Dong L. Wu, Valery A. Yudin, Kyu-Myong Kim, Mohar Chattopadhyay, Lawrence Coy, Ruth S. Lieberman, C. C. Jude H. Salinas, Jae N. Lee, Jie Gong, and Guiping Liu
Atmos. Meas. Tech., 18, 843–863, https://doi.org/10.5194/amt-18-843-2025,https://doi.org/10.5194/amt-18-843-2025, 2025
Short summary
Benchmarking KDP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations
Miguel Aldana, Seppo Pulkkinen, Annakaisa von Lerber, Matthew R. Kumjian, and Dmitri Moisseev
Atmos. Meas. Tech., 18, 793–816, https://doi.org/10.5194/amt-18-793-2025,https://doi.org/10.5194/amt-18-793-2025, 2025
Short summary
Comparative experimental validation of microwave hyperspectral atmospheric soundings in clear-sky conditions
Lei Liu, Natalia Bliankinshtein, Yi Huang, John R. Gyakum, Philip M. Gabriel, Shiqi Xu, and Mengistu Wolde
Atmos. Meas. Tech., 18, 471–485, https://doi.org/10.5194/amt-18-471-2025,https://doi.org/10.5194/amt-18-471-2025, 2025
Short summary

Cited articles

Angevine, W. M., Doviak, R. J., and Sorbjan, Z.: Remote sensing of vertical velocity variance and surface heat flux in a convective boundary layer, J. Appl. Meteorol., 33, 977–983, 1994.
Champagne, F. H.: The fine-scale structure of the turbulent velocity field, J. Fluid Mech., 86, 67–108, 1978.
Cohn, S. A.: Radar measurements of turbulent eddy dissipation rate in the troposphere: A comparison of techniques, J. Atmos. Ocean. Tech., 12, 85–95, 1995.
Dehghan, A., Hocking, W. K., and Srinivasan, R.: Comparisons between multiple in-situ aircraft turbulence measurements and radar in the troposphere, J. Atmos. Sol.-Terr. Phy., 118, 64–77, 2014.
Frehlich, R., Meillier, Y., Jensen, M. L., and Balsley, B.: Turbulence measurements with the CIRES tethered lifting system during CASES-99: Calibration and spectral analysis of temperature and velocity, J. Atmos. Sci., 60, 2487–2495, 2003.
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
In this paper, we use two wind profiling radars, operating along side a highly instrumented 300 m meteorological tower, to observe turbulence dissipation rates in the planetary boundary layer from an optimized performance setup. Analysis of post-processing techniques, including spectral averaging and moments' calculation methods, shows the optimal parameters which result in good agreement, especially after bias corrections, with sonic anemometers on the tall tower.
Share