Articles | Volume 18, issue 11
https://doi.org/10.5194/essd-18-8229-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-8229-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
11 Nov 2026
Data description article |
| 11 Nov 2026
| 11 Nov 2026
The MAESTRO turbulence dataset derived from the SAFIRE ATR42 aircraft
Louis Jaffeux
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, University of Toulouse, CNRS, UPS, Toulouse, France
Marie Lothon
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, University of Toulouse, CNRS, UPS, Toulouse, France
Fleur Couvreux
CNRM, Météo-France, Toulouse, France
Dominique Bouniol
CNRM, Météo-France, Toulouse, France
Grégoire Cayez
SAFIRE, CNRS, Météo-France, Toulouse, France
Lilian Joly
AEROLAB, CNRS, Reims Champagne Ardenne University, Reims, France
Jérémie Burgalat
AEROLAB, CNRS, Reims Champagne Ardenne University, Reims, France
Cyrille De Saint Leger
SAFIRE, CNRS, Météo-France, Toulouse, France
Hubert Bellec
SAFIRE, CNRS, Météo-France, Toulouse, France
Olivier Henry
SAFIRE, CNRS, Météo-France, Toulouse, France
Dyaa Chbib
SAFIRE, CNRS, Météo-France, Toulouse, France
Tetyana Jiang
SAFIRE, CNRS, Météo-France, Toulouse, France
Vergez Gilles
SAFIRE, CNRS, Météo-France, Toulouse, France
Sandrine Bony
LMD/IPSL, CNRS, Sorbonne University, Paris, France
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Preprint archived
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Anne-Claire Billault-Roux, Gionata Ghiggi, Louis Jaffeux, Audrey Martini, Nicolas Viltard, and Alexis Berne
Atmos. Meas. Tech., 16, 911–940, https://doi.org/10.5194/amt-16-911-2023, https://doi.org/10.5194/amt-16-911-2023, 2023
Short summary
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Adriana Bailey, Franziska Aemisegger, Leonie Villiger, Sebastian A. Los, Gilles Reverdin, Estefanía Quiñones Meléndez, Claudia Acquistapace, Dariusz B. Baranowski, Tobias Böck, Sandrine Bony, Tobias Bordsdorff, Derek Coffman, Simon P. de Szoeke, Christopher J. Diekmann, Marina Dütsch, Benjamin Ertl, Joseph Galewsky, Dean Henze, Przemyslaw Makuch, David Noone, Patricia K. Quinn, Michael Rösch, Andreas Schneider, Matthias Schneider, Sabrina Speich, Bjorn Stevens, and Elizabeth J. Thompson
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Louis Jaffeux, Alfons Schwarzenböck, Pierre Coutris, and Christophe Duroure
Atmos. Meas. Tech., 15, 5141–5157, https://doi.org/10.5194/amt-15-5141-2022, https://doi.org/10.5194/amt-15-5141-2022, 2022
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Optical array probes are instruments used aboard research aircraft to capture 2D images of ice or water particles in clouds. This study presents a new tool using innovative machine learning, called convolutional neural networks, designed to identify the shape of imaged ice particles for two of these imagers, namely 2DS and PIP. Such a tool will be a very strong asset for understanding cloud microphysics. Beyond traditional evaluation metrics, human inspections were performed of unknown data.
Sandrine Bony, Marie Lothon, Julien Delanoë, Pierre Coutris, Jean-Claude Etienne, Franziska Aemisegger, Anna Lea Albright, Thierry André, Hubert Bellec, Alexandre Baron, Jean-François Bourdinot, Pierre-Etienne Brilouet, Aurélien Bourdon, Jean-Christophe Canonici, Christophe Caudoux, Patrick Chazette, Michel Cluzeau, Céline Cornet, Jean-Philippe Desbios, Dominique Duchanoy, Cyrille Flamant, Benjamin Fildier, Christophe Gourbeyre, Laurent Guiraud, Tetyana Jiang, Claude Lainard, Christophe Le Gac, Christian Lendroit, Julien Lernould, Thierry Perrin, Frédéric Pouvesle, Pascal Richard, Nicolas Rochetin, Kevin Salaün, Alfons Schwarzenboeck, Guillaume Seurat, Bjorn Stevens, Julien Totems, Ludovic Touzé-Peiffer, Gilles Vergez, Jessica Vial, Leonie Villiger, and Raphaela Vogel
Earth Syst. Sci. Data, 14, 2021–2064, https://doi.org/10.5194/essd-14-2021-2022, https://doi.org/10.5194/essd-14-2021-2022, 2022
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The French ATR42 research aircraft participated in the EUREC4A international field campaign that took place in 2020 over the tropical Atlantic, east of Barbados. We present the extensive instrumentation of the aircraft, the research flights and the different measurements. We show that the ATR measurements of humidity, wind, aerosols and cloudiness in the lower atmosphere are robust and consistent with each other. They will make it possible to advance understanding of cloud–climate interactions.
Carlos Alberti, Frank Hase, Matthias Frey, Darko Dubravica, Thomas Blumenstock, Angelika Dehn, Paolo Castracane, Gregor Surawicz, Roland Harig, Bianca C. Baier, Caroline Bès, Jianrong Bi, Hartmut Boesch, André Butz, Zhaonan Cai, Jia Chen, Sean M. Crowell, Nicholas M. Deutscher, Dragos Ene, Jonathan E. Franklin, Omaira García, David Griffith, Bruno Grouiez, Michel Grutter, Abdelhamid Hamdouni, Sander Houweling, Neil Humpage, Nicole Jacobs, Sujong Jeong, Lilian Joly, Nicholas B. Jones, Denis Jouglet, Rigel Kivi, Ralph Kleinschek, Morgan Lopez, Diogo J. Medeiros, Isamu Morino, Nasrin Mostafavipak, Astrid Müller, Hirofumi Ohyama, Paul I. Palmer, Mahesh Pathakoti, David F. Pollard, Uwe Raffalski, Michel Ramonet, Robbie Ramsay, Mahesh Kumar Sha, Kei Shiomi, William Simpson, Wolfgang Stremme, Youwen Sun, Hiroshi Tanimoto, Yao Té, Gizaw Mengistu Tsidu, Voltaire A. Velazco, Felix Vogel, Masataka Watanabe, Chong Wei, Debra Wunch, Marcia Yamasoe, Lu Zhang, and Johannes Orphal
Atmos. Meas. Tech., 15, 2433–2463, https://doi.org/10.5194/amt-15-2433-2022, https://doi.org/10.5194/amt-15-2433-2022, 2022
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Space-borne greenhouse gas missions require ground-based validation networks capable of providing fiducial reference measurements. Here, considerable refinements of the calibration procedures for the COllaborative Carbon Column Observing Network (COCCON) are presented. Laboratory and solar side-by-side procedures for the characterization of the spectrometers have been refined and extended. Revised calibration factors for XCO2, XCO and XCH4 are provided, incorporating 47 new spectrometers.
Nicolas Maury, Gregory C. Roberts, Fleur Couvreux, Titouan Verdu, Pierre Narvor, Najda Villefranque, Simon Lacroix, and Gautier Hattenberger
Atmos. Meas. Tech., 15, 335–352, https://doi.org/10.5194/amt-15-335-2022, https://doi.org/10.5194/amt-15-335-2022, 2022
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The paper aims to use large-eddy simulations of cumulus clouds to design a sampling strategy that allows following cumulus clouds with remotely piloted aircraft (RPA) and documenting the cloud spatial heterogeneities. Different possible explorations by RPA are investigated, and the use of Gaussian process regression permits the reconstruction of liquid water content (LWC) distribution with only one RPA.
Heike Konow, Florian Ewald, Geet George, Marek Jacob, Marcus Klingebiel, Tobias Kölling, Anna E. Luebke, Theresa Mieslinger, Veronika Pörtge, Jule Radtke, Michael Schäfer, Hauke Schulz, Raphaela Vogel, Martin Wirth, Sandrine Bony, Susanne Crewell, André Ehrlich, Linda Forster, Andreas Giez, Felix Gödde, Silke Groß, Manuel Gutleben, Martin Hagen, Lutz Hirsch, Friedhelm Jansen, Theresa Lang, Bernhard Mayer, Mario Mech, Marc Prange, Sabrina Schnitt, Jessica Vial, Andreas Walbröl, Manfred Wendisch, Kevin Wolf, Tobias Zinner, Martin Zöger, Felix Ament, and Bjorn Stevens
Earth Syst. Sci. Data, 13, 5545–5563, https://doi.org/10.5194/essd-13-5545-2021, https://doi.org/10.5194/essd-13-5545-2021, 2021
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The German research aircraft HALO took part in the research campaign EUREC4A in January and February 2020. The focus area was the tropical Atlantic east of the island of Barbados. We describe the characteristics of the 15 research flights, provide auxiliary information, derive combined cloud mask products from all instruments that observe clouds on board the aircraft, and provide code examples that help new users of the data to get started.
Cited articles
Asiyabi, R. M., Ghorbanian, A., Tameh, S. N., Amani, M., Jin, S., and Mohammadzadeh, A.: Synthetic aperture radar (SAR) for ocean: A review, IEEE J. Sel. Top. Appl., 16, 9106–9138, 2023. a
Atlas, D.: Footprints of storms on the sea: A view from spaceborne synthetic aperture radar, J. Geophys. Res.-Oceans, 99, 7961–7969, 1994. a
Ballantyne, A. and Moss, J.: Fine wire thermocouple measurements of fluctuating temperature, Combust. Sci. Technol., 17, 63–72, 1977. a
Bell, M.: Collaborative Research: AGS-FIRP Track 2-Process Investigation of Clouds and Convective Organization over the atLantic Ocean (PICCOLO), NSF Award Number 2331202, Directorate for Geosciences, 23, 31202, 2024. a
Bernard-Trottolo, S.: Diagnostic de la présence de structures cohérentes au sein de la couche limite atmosphérique: campagnes TRAC98 et MAP99, PhD thesis, Toulouse III, 2001. a
Bony, S.: MAESTRO-2024_SAFIRE-ATR42_SAFIRE_FAST Temperature and Humidity Fast Observation 25HZ Aeris [data set], https://doi.org/10.25326/738, 2024a. a
Bony, S.: MAESTRO-2024_SAFIRE-ATR42_SAFIRE_CORE_TDYN Thermodynamic and dynamic data 1HZ, Aeris [data set], https://doi.org/10.25326/744, 2024b. a
Bony, S. and Dufresne, J.-L.: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, https://doi.org/10.1029/2005GL023851, 2005. a
Bony, S. and Stevens, B.: Measuring area-averaged vertical motions with dropsondes, J. Atmos. Sci., 76, 767–783, 2019. a
Bony, S., Stevens, B., Ament, F., Bigorre, S., Chazette, P., Crewell, S., Delanoë, J., Emanuel, K., Farrell, D., Flamant, C., Gross, S., Hirsch, L., Karstensen, J., Mayer, B., Nuijens, L., Ruppert, J. H., Sandu, I., Siebesma, P., Speich, S., Szczap, F., Totems, J., Vogel, R., Wendisch, M., and Wirth, M.: EUREC 4 A: A field campaign to elucidate the couplings between clouds, convection and circulation, Surv. Geophys., 38, 1529–1568, 2017. a
Bony, S., Schulz, H., Vial, J., and Stevens, B.: Sugar, Gravel, Fish, and Flowers: Dependence of Mesoscale Patterns of Trade-Wind Clouds on Environmental Conditions, Geophys. Res. Lett., 47, e2019GL085988, https://doi.org/10.1029/2019GL085988, 2020. a
Bony, S., Lothon, M., Delanoë, J., Coutris, P., Etienne, J.-C., Aemisegger, F., Albright, A. L., André, T., Bellec, H., Baron, A., Bourdinot, J.-F., Brilouet, P.-E., Bourdon, A., Canonici, J.-C., Caudoux, C., Chazette, P., Cluzeau, M., Cornet, C., Desbios, J.-P., Duchanoy, D., Flamant, C., Fildier, B., Gourbeyre, C., Guiraud, L., Jiang, T., Lainard, C., Le Gac, C., Lendroit, C., Lernould, J., Perrin, T., Pouvesle, F., Richard, P., Rochetin, N., Salaün, K., Schwarzenboeck, A., Seurat, G., Stevens, B., Totems, J., Touzé-Peiffer, L., Vergez, G., Vial, J., Villiger, L., and Vogel, R.: EUREC4A observations from the SAFIRE ATR42 aircraft, Earth Syst. Sci. Data, 14, 2021–2064, https://doi.org/10.5194/essd-14-2021-2022, 2022. a, b
Bony, S., Poujol, B., McKim, B., Rochetin, N., Lothon, M., Windmiller, J., Maury, N., Dufaux, C., Jaffeux, L., Chazette, P., and Delanoë, J.: Evidence for the role of thermal and cloud merging in mesoscale convective organization, Atmos. Chem. Phys., 25, 17331–17362, https://doi.org/10.5194/acp-25-17331-2025, 2025. 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, https://doi.org/10.5194/essd-13-3379-2021, 2021. a, b, c, d
Brilouet, P.-E., Bouniol, D., Couvreux, F., Ayet, A., Granero-Belinchon, C., Lothon, M., and Mouche, A.: Trade wind boundary layer turbulence and shallow precipitating convection: New insights combining SAR images, satellite brightness temperature, and airborne in situ measurements, Geophys. Res. Lett., 50, e2022GL102180, https://doi.org/10.1029/2022GL102180, 2023. a
Brown, E. N., Friehe, C., and Lenschow, D.: The use of pressure fluctuations on the nose of an aircraft for measuring air motion, J. Appl. Meteorol. Clim., 22, 171–180, 1983. a
Dauhut, T., Couvreux, F., Bouniol, D., Beucher, F., Volkmer, L., Pörtge, V., Schäfer, M., Ayet, A., Brilouet, P.-E., Jacob, M., and Wirth, M.: Flower trade-wind clouds are shallow mesoscale convective systems, Q. J. Roy. Meteor. Soc., 149, 325–347, https://doi.org/10.1002/qj.4409, 2023. a
Delanoë, J., Protat, A., Jourdan, O., Pelon, J., Papazzoni, M., Dupuy, R., Gayet, J.-F., and Jouan, C.: Comparison of airborne in situ, airborne radar–lidar, and spaceborne radar–lidar retrievals of polar ice cloud properties sampled during the POLARCAT campaign, J. Atmos. Ocean. Tech., 30, 57–73, 2013. a
Derrien, M. and Le Gléau, H.: MSG/SEVIRI cloud mask and type from SAFNWC, Int. J. Remote Sens., 26, 4707–4732, 2005. a
George, G., Stevens, B., Bony, S., Pincus, R., Fairall, C., Schulz, H., Kölling, T., Kalen, Q. T., Klingebiel, M., Konow, H., Lundry, A., Prange, M., and Radtke, J.: JOANNE: Joint dropsonde Observations of the Atmosphere in tropical North atlaNtic meso-scale Environments, Earth Syst. Sci. Data, 13, 5253–5272, https://doi.org/10.5194/essd-13-5253-2021, 2021. a
Groß, S., Ewald, F., Stevens, B., Wirth, M., Dekoutsidis, G., Ehrlich, A., Kouklaki, D., Krüger, K., Rosenburg, S., Volkmer, L., von Bismark, J., Hirsch, L., Luebke, A. E., Marinou, E., Mayer, B., Pinol Sole, M., Wendisch, M., Windmiller, J., Amiridis, V., Koopman, R., Kubota, T., and Rapp, M.: Persistent EarthCARE underflight studies of the ITCZ and organized convection (PERCUSION): Contribution to EarthCARE Validation, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-112, 2026. a
Jaffeux, L. and Lothon, M.: MAESTRO_2024_Turbulence_Dataset, Aeris [data set], https://doi.org/10.25326/812#v7.0, 2025. a, b
Janssens, M., Vilà-Guerau de Arellano, J., Scheffer, M., Antonissen, C., Siebesma, A. P., and Glassmeier, F.: Cloud patterns in the trades have four interpretable dimensions, Geophys. Res. Lett., 48, e2020GL091001, https://doi.org/10.1029/2020GL091001, 2021. a
Jansson, F., Janssens, M., Grönqvist, J. H., Siebesma, A. P., Glassmeier, F., Attema, J., Azizi, V., Satoh, M., Sato, Y., Schulz, H., and Kölling, T.: Cloud botany: Shallow cumulus clouds in an ensemble of idealized large-domain large-eddy simulations of the trades, J. Adv. Model. Earth Sy., 15, e2023MS003796, https://doi.org/10.1029/2023MS003796, 2023. a
Jen-La Plante, I., Ma, Y., Nurowska, K., Gerber, H., Khelif, D., Karpinska, K., Kopec, M. K., Kumala, W., and Malinowski, S. P.: Physics of Stratocumulus Top (POST): turbulence characteristics, Atmos. Chem. Phys., 16, 9711–9725, https://doi.org/10.5194/acp-16-9711-2016, 2016. a
Joly, L., Maamary, R., Decarpenterie, T., Cousin, J., Dumelié, N., Chauvin, N., Legain, D., Tzanos, D., and Durry, G.: Atmospheric Measurements by Ultra-Light SpEctrometer (AMULSE) Dedicated to Vertical Profile in Situ Measurements of Carbon Dioxide (CO2) Under Weather Balloons: Instrumental Development and Field Application, Sensors, 16, 1609, https://doi.org/10.3390/s16101609, 2016. a
Kolmogorov, A. N.: The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers, P. Roy. Soc. Lond. A-Mat., 434, 9–13, 1991. a
Konsta, D., Dufresne, J.-L., Chepfer, H., Vial, J., Koshiro, T., Kawai, H., Bodas-Salcedo, A., Roehrig, R., Watanabe, M., and Ogura, T.: Low-level marine tropical clouds in six CMIP6 models are too few, too bright but also too compact and too homogeneous, Geophys. Res. Lett., 49, e2021GL097593, https://doi.org/10.1029/2021GL097593, 2022. a
Kudryavtsev, V., Akimov, D., Johannessen, J., and Chapron, B.: On radar imaging of current features: 1. Model and comparison with observations, J. Geophys. Res.-Oceans, 110, https://doi.org/10.1029/2004JC002505, 2005. a
LeMone, M. A. and Pennell, W. T.: The relationship of trade wind cumulus distribution to subcloud layer fluxes and structure, Mon. Weather Rev., 104, 524–539, 1976. a
Malinowski, S. P., Gerber, H., Jen-La Plante, I., Kopec, M. K., Kumala, W., Nurowska, K., Chuang, P. Y., Khelif, D., and Haman, K. E.: Physics of Stratocumulus Top (POST): turbulent mixing across capping inversion, Atmos. Chem. Phys., 13, 12171–12186, https://doi.org/10.5194/acp-13-12171-2013, 2013. a
Mallaun, C., Giez, A., and Baumann, R.: Calibration of 3-D wind measurements on a single-engine research aircraft, Atmos. Meas. Tech., 8, 3177–3196, https://doi.org/10.5194/amt-8-3177-2015, 2015. a
Nowak, J. L., Siebert, H., Szodry, K.-E., and Malinowski, S. P.: Coupled and decoupled stratocumulus-topped boundary layers: turbulence properties, Atmos. Chem. Phys., 21, 10965–10991, https://doi.org/10.5194/acp-21-10965-2021, 2021. a
Schulz, H. and Stevens, B.: Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data, J. Adv. Model. Earth Sy., 15, e2023MS003648, 2023. a
Schulz, H., Eastman, R., and Stevens, B.: Characterization and evolution of organized shallow convection in the downstream North Atlantic trades, J. Geophys. Res.-Atmos., 126, e2021JD034575, https://doi.org/10.1029/2021JD034575, 2021. a
Shaw, W. J. and Businger, J. A.: Intermittency and the organization of turbulence in the near-neutral marine atmospheric boundary layer, J. Atmos. Sci., 42, 2563–2584, 1985. a
Sreenivasan, K. R.: On the universality of the Kolmogorov constant, Phys. Fluids, 7, 2778–2784, 1995. a
Stevens, B., Bony, S., Brogniez, H., Hentgen, L., Hohenegger, C., Kiemle, C., L'Ecuyer, T. S., Naumann, A. K., Schulz, H., Siebesma, P. A., Vial, J., Winker, D. M., and Zuidema, P.: Sugar, gravel, fish and flowers: Mesoscale cloud patterns in the trade winds, Q. J. Roy. Meteor. Soc., 146, 141–152, https://doi.org/10.1002/qj.3662, 2020. a
Stevens, B., Bony, S., David, R., Delanoë, J., Gross, S., Klocke, D., Windmiller, J., Wing, A., and Wu, Y.: Orcestra: Organized convection and earthcare studies over the tropical Atlantic, Tellus, https://doi.org/10.16993/tellus.4123, 2025. a
Wacławczyk, M., Ma, Y.-F., Kopeć, J. M., and Malinowski, S. P.: Novel approaches to estimating the turbulent kinetic energy dissipation rate from low- and moderate-resolution velocity fluctuation time series, Atmos. Meas. Tech., 10, 4573–4585, https://doi.org/10.5194/amt-10-4573-2017, 2017. a
Wacławczyk, M., Gozingan, A. S., Nzotungishaka, J., Mohammadi, M., and P. Malinowski, S.: Comparison of different techniques to calculate properties of atmospheric turbulence from low-resolution data, Atmosphere, 11, 199, https://doi.org/10.3390/atmos11020199, 2020. a
Warner, C., Simpson, J., Martin, D., Suchman, D., Mosher, F., and Reinking, R.: Shallow convection on day 261 of GATE/mesoscale arcs, Mon. Weather Rev., 107, 1617–1635, 1979. a
Wehr, T., Kubota, T., Tzeremes, G., Wallace, K., Nakatsuka, H., Ohno, Y., Koopman, R., Rusli, S., Kikuchi, M., Eisinger, M., Tanaka, T., Taga, M., Deghaye, P., Tomita, E., and Bernaerts, D.: The EarthCARE mission – science and system overview, Atmos. Meas. Tech., 16, 3581–3608, https://doi.org/10.5194/amt-16-3581-2023, 2023. a
Winkler, M., Rixen, M., Beucher, F., Couvreux, F., Nam, C. C., Peyrillé, P., Schmidt, H., Segura, H., Wieners, K.-H., Alkilani-Brown, E., Coly, A. A., Biagioli, G., Bell, M. M., Brito, E., Chauvin, E., Capo, J., Colón-Burgos, D., Dawes, A., da Luz, J. C., Demiralay, Z., Douet, V., Ducastin, V., Dufaux, C., Dufresne, J.-L., Favot, F., Fiolleau, T., Fons, E., George, G., Gloeckner, H. M., Gonçalves, S., Gouttesoulard, L., Hayo, L., Hsiao, W.-T., Kennison, S., Kopelman, M., Lee, T.-Y., Le Gall, E., Lovato, M., Luschen, E., Maury, N., McKim, B., Netz, L., Ousseynou, D., Peters-von Gehlen, K., Pope, C., Poujol, B., Rivera Maldonado, N., Robbins-Blanch, N., Rochetin, N., Rowe, D., Romero Jure, P., Ruppert Jr., J. H., Segura Bermudez, J., Starr, J. C., Stelzner, M., Stoll, C., Syrett, M., Tekoe, A., Trules, J., Welty, C., Klocke, D., Vogel, R., Bony, S., Wing, A. A., and Stevens, B.: RAPSODI: radiosonde atmospheric profiles from ship and island platforms during ORCESTRA, collected to Decipher the ITCZ, Earth Syst. Sci. Data, 18, 1833–1854, https://doi.org/10.5194/essd-18-1833-2026, 2026. a
Wyngaard, J. and Coté, O.: The budgets of turbulent kinetic energy and temperature variance in the atmospheric surface layer, J. Atmos. Sci., 28, 190–201, 1971. a
Zilitinkevich, S. S., Hunt, J., Esau, I. N., Grachev, A., Lalas, D., Akylas, E., Tombrou, M., Fairall, C., Fernando, H., Baklanov, A., and Joffre, S. M.: The influence of large convective eddies on the surface-layer turbulence, Q. J. Roy. Meteor. Soc., 132, 1426–1456, https://doi.org/10.1256/qj.05.79, 2006. a
Short summary
A new dataset from the MAESTRO airborne campaign over the tropical Atlantic near Cabo Verde offers detailed turbulence measurements of temperature, moisture, and wind. The data was processed exploiting exceptional instrumental redundancy to provide best quality turbulence statistics and ensure their reliability. This resource can benefit weather and climate models by providing a clearer picture of how turbulence below clouds influences their formation and organization.
A new dataset from the MAESTRO airborne campaign over the tropical Atlantic near Cabo Verde...
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