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https://doi.org/10.5194/essd-2020-189
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-189
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  28 Jul 2020

28 Jul 2020

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This preprint is currently under review for the journal ESSD.

Trade-wind clouds and aerosols characterized by airborne horizontal lidar measurements during the EUREC4A field campaign

Patrick Chazette1, Julien Totems1, Alexandre Baron1, Cyrille Flamant2, and Sandrine Bony3 Patrick Chazette et al.
  • 1LSCE/IPSL, CNRS-CEA-UVSQ, University Paris-Saclay, CEA Saclay, 91191 Gif sur Yvette, France
  • 2LATMOS/IPSL, CNRS-UPMC-UVSQ, Sorbonne Université, Campus Pierre et Marie Curie, 75252 Paris, France
  • 3LMD/IPSL, CNRS, Sorbonne Université, Campus Pierre et Marie Curie, UPMC, 4 Place Jussieu, 75252 Paris, France

Abstract. From 23 January to 13 February 2020, twenty ATR-42 flights were conducted over the tropical Atlantic, off the coast of Barbados (−58°30' W 13°30' N), to characterize the trade-wind clouds generated by shallow convection. These flights were conducted as part of the international EUREC4A (Elucidating the role of clouds-circulation coupling in climate) field campaign. One of the objectives of these flights was to characterize the trade-wind cumuli at their base for a range of meteorological conditions, convective mesoscale organizations and times of the day, with the help of sidewards staring remote sensing (lidar and radar). This paper presents the datasets associated with horizontal lidar measurements. The lidar sampled clouds from a lateral window of the aircraft over a range of about 8 km, with a horizontal resolution of 15 to 30 m, over a rectangle pattern of 20 km by 130 km. The measurements made it possible to characterize the size distribution of clouds near their base, and the presence of dust-like aerosols within and above the marine boundary layer. This paper presents the measurements and the different levels of data processing, ranging from raw level 1 data (https://doi.org/10.25326/57; Chazette et al., 2020c) to level 2 and 3 processed data that include an horizontal cloud mask (https://doi.org/10.25326/58; Chazette et al., 2020b) and aerosol extinction coefficients (https://doi.org/10.25326/59; Chazette et al., 2020a). An intermediate level, companion to the level 1 data (level 1.5), is also available for calibrated and geolocalized data ( https://doi.org/10.25326/57; Chazette et al., 2020c).

Patrick Chazette et al.

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Patrick Chazette et al.

Data sets

EUREC4A – ATR-42 – Lidar 40 ALiAS – level 2 & 3 aerosol products P. Chazette, J. Totems, A. Baron, C. Flamant, and S. Bony https://doi.org/10.25326/59

EUREC4A ATR-42 Lidar ALiAS – level 2 & 3 cloud products P. Chazette, J. Totems, A. Baron, C. Flamant, and S. Bony https://doi.org/10.25326/58

EUREC4A ATR-42 Lidar ALiAS – Levels 1 & 1.5 P. Chazette, J. Totems, A. Baron, C. Flamant, and S. Bony https://doi.org/10.25326/57

Patrick Chazette et al.

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Short summary
To characterize the trade-wind cumuli for climate change purpose, twenty ATR-42 flights were conducted over the tropical Atlantic, off the coast of Barbados from 23 January to 13 February 2020. These flights were conducted as part of the international EUREC4A (Elucidating the role of clouds-circulation coupling in climate) field campaign. A new sampling approach was applied, consisting in using a sidewards-staring lidar. The data are now made available to the international scientific community.
To characterize the trade-wind cumuli for climate change purpose, twenty ATR-42 flights were...
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