Articles | Volume 13, issue 2
Atmos. Meas. Tech., 13, 969–983, 2020
Atmos. Meas. Tech., 13, 969–983, 2020

Research article 02 Mar 2020

Research article | 02 Mar 2020

Comparison of turbulence measurements by a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar

Matthias Mauder et al.

Related authors

Options to correct local turbulent flux measurements for large-scale fluxes using a LES-based approach
Matthias Mauder, Andreas Ibrom, Luise Wanner, Frederik De Roo, Peter Brugger, Ralf Kiese, and Kim Pilegaard
Atmos. Meas. Tech. Discuss.,,, 2021
Preprint under review for AMT
Short summary
Observing system simulation experiments double scientific return of surface-atmosphere synthesis
Stefan Metzger, David Durden, Sreenath Paleri, Matthias Sühring, Brian Butterworth, Christopher Florian, Matthias Mauder, David M. Plummer, Luise Wanner, Ke Xu, and Ankur R. Desai
Atmos. Meas. Tech. Discuss.,,, 2021
Revised manuscript accepted for AMT
Short summary
Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications
Basit Khan, Sabine Banzhaf, Edward C. Chan, Renate Forkel, Farah Kanani-Sühring, Klaus Ketelsen, Mona Kurppa, Björn Maronga, Matthias Mauder, Siegfried Raasch, Emmanuele Russo, Martijn Schaap, and Matthias Sühring
Geosci. Model Dev., 14, 1171–1193,,, 2021
Short summary
High-resolution fully coupled atmospheric–hydrological modeling: a cross-compartment regional water and energy cycle evaluation
Benjamin Fersch, Alfonso Senatore, Bianca Adler, Joël Arnault, Matthias Mauder, Katrin Schneider, Ingo Völksch, and Harald Kunstmann
Hydrol. Earth Syst. Sci., 24, 2457–2481,,, 2020
Overview of the PALM model system 6.0
Björn Maronga, Sabine Banzhaf, Cornelia Burmeister, Thomas Esch, Renate Forkel, Dominik Fröhlich, Vladimir Fuka, Katrin Frieda Gehrke, Jan Geletič, Sebastian Giersch, Tobias Gronemeier, Günter Groß, Wieke Heldens, Antti Hellsten, Fabian Hoffmann, Atsushi Inagaki, Eckhard Kadasch, Farah Kanani-Sühring, Klaus Ketelsen, Basit Ali Khan, Christoph Knigge, Helge Knoop, Pavel Krč, Mona Kurppa, Halim Maamari, Andreas Matzarakis, Matthias Mauder, Matthias Pallasch, Dirk Pavlik, Jens Pfafferott, Jaroslav Resler, Sascha Rissmann, Emmanuele Russo, Mohamed Salim, Michael Schrempf, Johannes Schwenkel, Gunther Seckmeyer, Sebastian Schubert, Matthias Sühring, Robert von Tils, Lukas Vollmer, Simon Ward, Björn Witha, Hauke Wurps, Julian Zeidler, and Siegfried Raasch
Geosci. Model Dev., 13, 1335–1372,,, 2020
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania
Didier de Villiers, Marc Schleiss, Marie-Claire ten Veldhuis, Rolf Hut, and Nick van de Giesen
Atmos. Meas. Tech., 14, 5607–5623,,, 2021
Short summary
Suitability of fibre-optic distributed temperature sensing for revealing mixing processes and higher-order moments at the forest–air interface
Olli Peltola, Karl Lapo, Ilkka Martinkauppi, Ewan O'Connor, Christoph K. Thomas, and Timo Vesala
Atmos. Meas. Tech., 14, 2409–2427,,, 2021
Short summary
Characterizing and correcting the warm bias observed in AMDAR temperature observations
Siebren de Haan, Paul M. A. de Jong, and Jitze van der Meulen
Atmos. Meas. Tech. Discuss.,,, 2021
Revised manuscript accepted for AMT
Short summary
Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents
Anne Martin, Martin Weissmann, Oliver Reitebuch, Michael Rennie, Alexander Geiß, and Alexander Cress
Atmos. Meas. Tech., 14, 2167–2183,,, 2021
Short summary
Smartphone pressure data: quality control and impact on atmospheric analysis
Rumeng Li, Qinghong Zhang, Juanzhen Sun, Yun Chen, Lili Ding, and Tian Wang
Atmos. Meas. Tech., 14, 785–801,,, 2021
Short summary

Cited articles

Aubinet, M., Vesala, T., and Papale, D. (eds.): Eddy Covariance – A Practical Guide to Measurement and Data Analysis, Springer, Dordrecht, 2012. 
Bingöl, F., Mann, J., and Foussekis, D.: Conically scanning lidar error in complex terrain, Meteorol. Z., 18, 189–195,, 2009. 
Bradley, S.: Wind speed errors for LIDARs and SODARs in complex terrain, IOP Conf. Ser. Earth Environ. Sci., 1, 012061,, 2008. 
Brugger, P., Träumner, K., and Jung, C.: Evaluation of a procedure to correct spatial averaging in turbulence statistics from a doppler lidar by comparing time series with an ultrasonic anemometer, J. Atmos. Ocean. Technol., 33, 2135–2144,, 2016. 
Short summary
Sonic anemometers are prone to probe-induced flow distortion effects. Here, we present the results of an intercomparison experiment between a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar, which is inherently free of flow distortion. Our results show an agreement of the mean wind velocity measurements and the standard deviations of the vertical wind speed with comparabilities of 0.082 and 0.020 m s−1, respectively. Friction velocity is underestimated by the CSAT3B by 3 %.