Abstract : Modeling the cloud microphysics processes is essential to improve our understanding in climate changes and reduce the uncertainties in weather predictions. Aircrafts, remote sensing and ground-based infrastructures provide either sparse or coarse spatial measurements that are not sufficient to develop fine cloud models. UAVs have shown their ability to collect relevant cloud in-situ measures, and can be even more efficient when deployed in fleets. However, collecting relevant cloud data call for specific trajectories: this paper introduces a series of flight patterns dedicated to cloud exploration by a fleet of UAVs. The patterns definition comprise both a priori geometric information and real-time reactions to collected data. Results in simulated clouds assess their relevance for cloud in situ data collection.
https://hal-enac.archives-ouvertes.fr/hal-02137839
Contributor : Laurence Porte
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Submitted on : Thursday, May 23, 2019 - 12:17:47 PM
Last modification on : Friday, June 14, 2019 - 6:31:29 PM
Titouan Verdu, Gautier Hattenberger, Simon Lacroix. Flight patterns for clouds exploration with a fleet of UAVs. 2019 International Conference on Unmanned Aircraft Systems (ICUAS 2019), Jul 2019, Atlanta, United States. ⟨hal-02137839⟩
