Articles | Volume 22, issue 11
Research article
08 Jun 2022
Research article |  | 08 Jun 2022

Momentum fluxes from airborne wind measurements in three cumulus cases over land

Ada Mariska Koning, Louise Nuijens, Christian Mallaun, Benjamin Witschas, and Christian Lemmerz
Publisher's note: Benjamin Witschas and Christian Lemmerz were added as co-authors to this paper on 20 October 2023. They originally contributed to the manuscript but were missing in the author list upon publication.

Related authors

Validation of Aeolus L2B products over the tropical Atlantic using radiosondes
Maurus Borne, Peter Knippertz, Martin Weissmann, Benjamin Witschas, Cyrille Flamant, Rosimar Rios-Berrios, and Peter Veals
Atmos. Meas. Tech., 17, 561–581,,, 2024
Short summary
A new airborne broadband radiometer system and an efficient method to correct dynamic thermal offsets
André Ehrlich, Martin Zöger, Andreas Giez, Vladyslav Nenakhov, Christian Mallaun, Rolf Maser, Timo Röschenthaler, Anna E. Luebke, Kevin Wolf, Bjorn Stevens, and Manfred Wendisch
Atmos. Meas. Tech., 16, 1563–1581,,, 2023
Short summary
Airborne coherent wind lidar measurements of the momentum flux profile from orographically induced gravity waves
Benjamin Witschas, Sonja Gisinger, Stephan Rahm, Andreas Dörnbrack, David C. Fritts, and Markus Rapp
Atmos. Meas. Tech., 16, 1087–1101,,, 2023
Short summary
Combined wind lidar and cloud radar for high-resolution wind profiling
José Dias Neto, Louise Nuijens, Christine Unal, and Steven Knoop
Earth Syst. Sci. Data, 15, 769–789,,, 2023
Short summary
Validation of the Aeolus L2B wind product with airborne wind lidar measurements in the polar North Atlantic region and in the tropics
Benjamin Witschas, Christian Lemmerz, Alexander Geiß, Oliver Lux, Uwe Marksteiner, Stephan Rahm, Oliver Reitebuch, Andreas Schäfler, and Fabian Weiler
Atmos. Meas. Tech., 15, 7049–7070,,, 2022
Short summary

Related subject area

Subject: Dynamics | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
An overview of the vertical structure of the atmospheric boundary layer in the central Arctic during MOSAiC
Gina C. Jozef, John J. Cassano, Sandro Dahlke, Mckenzie Dice, Christopher J. Cox, and Gijs de Boer
Atmos. Chem. Phys., 24, 1429–1450,,, 2024
Short summary
Evaluation of methods to determine the surface mixing layer height of the atmospheric boundary layer in the central Arctic during polar night and transition to polar day in cloudless and cloudy conditions
Elisa F. Akansu, Sandro Dahlke, Holger Siebert, and Manfred Wendisch
Atmos. Chem. Phys., 23, 15473–15489,,, 2023
Short summary
The role of a low-level jet for stirring the stable atmospheric surface layer in the Arctic
Ulrike Egerer, Holger Siebert, Olaf Hellmuth, and Lise Lotte Sørensen
Atmos. Chem. Phys., 23, 15365–15373,,, 2023
Short summary
Detection of dilution due to turbulent mixing vs. precipitation scavenging effects on biomass burning aerosol concentrations using stable water isotope ratios during ORACLES
Dean Henze, David Noone, and Darin Toohey
Atmos. Chem. Phys., 23, 15269–15288,,, 2023
Short summary
Modulation of the intraseasonal variability in early summer precipitation in eastern China by the Quasi-Biennial Oscillation and the Madden–Julian Oscillation
Zefan Ju, Jian Rao, Yue Wang, Junfeng Yang, and Qian Lu
Atmos. Chem. Phys., 23, 14903–14918,,, 2023
Short summary

Cited articles

Baidar, S., Bonin, T., Choukulkar, A., Brewer, A., and Hardesty, M.: Observation of the urban wind island effect, EPJ Web Conf., 237, 06009,, 2020. a
Bakhshi, R. and Sandborn, P.: Maximizing the returns of LIDAR systems in wind farms for yaw error correction applications, Wind Energy, 23, 1408–1421,, 2020. a
Banta, R., Pichugina, Y., Kelley, N., Hardesty, R., and Brewer, W.: Wind Energy Meteorology: Insight into Wind Properties in the Turbine-Rotor Layer of the Atmosphere from High-Resolution Doppler Lidar, B. Am. Meteorol. Soc., 94, 883–902,, 2013. a
Brilouet, P.-E., Lothon, M., Etienne, J.-C., Richard, P., Bony, S., Lernoult, J., Bellec, H., Vergez, G., Perrin, T., Delanoë, J., Jiang, T., Pouvesle, F., Lainard, C., Cluzeau, M., Guiraud, L., Medina, P., and Charoy, T.: The EUREC4A turbulence dataset derived from the SAFIRE ATR 42 aircraft, Earth Syst. Sci. Data, 13, 3379–3398,, 2021. a, b
Browning, K. A. and Wexler, R.: The Determination of Kinematic Properties of a Wind Field Using Doppler Radar, Journal of Applied Meteorology and Climatology, J. Appl. Meteorol. Clim., 1, 105–113,<0105:TDOKPO>2.0.CO;2​​​​​​​, 1968. a

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

Please read the editorial note first before accessing the article.

Short summary
Wind measurements from the mixed layer to cloud tops are scarce, causing a lack of knowledge on wind mixing between and within these layers. We use airborne observations of wind profiles and local wind at high frequency to study wind transport in cloud fields. A case with thick clouds had its maximum transport in the cloud layer, caused by eddies > 700 m, which was not expected from turbulence theory. In other cases large eddies undid transport of smaller eddies resulting in no net transport.
Final-revised paper