Articles | Volume 15, issue 2
https://doi.org/10.5194/amt-15-335-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-335-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Use of large-eddy simulations to design an adaptive sampling strategy to assess cumulus cloud heterogeneities by remotely piloted aircraft
Nicolas Maury
CORRESPONDING AUTHOR
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Gregory C. Roberts
CORRESPONDING AUTHOR
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
Fleur Couvreux
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Titouan Verdu
Laboratoire d'Analyse et d'Architecture des Systèmes, Université de Toulouse, CNRS, Toulouse, France
Ecole Nationale de l'Aviation Civile, Université de Toulouse, Toulouse, France
Pierre Narvor
Laboratoire d'Analyse et d'Architecture des Systèmes, Université de Toulouse, CNRS, Toulouse, France
Najda Villefranque
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Simon Lacroix
Laboratoire d'Analyse et d'Architecture des Systèmes, Université de Toulouse, CNRS, Toulouse, France
Gautier Hattenberger
Ecole Nationale de l'Aviation Civile, Université de Toulouse, Toulouse, France
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The EUREC4A field campaign, designed to test hypothesized mechanisms by which clouds respond to warming and benchmark next-generation Earth-system models, is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. It was the first campaign that attempted to characterize the full range of processes and scales influencing trade wind clouds.
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Short summary
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.
The paper aims to use large-eddy simulations of cumulus clouds to design a sampling strategy...