Descripción del proyecto
Usar drones para la siembra de nubes con vistas a entender la formación de hielo y precipitaciones en las nubes
A pesar de los intentos por utilizar productos químicos para modificar la meteorología mediante la siembra de nubes en las últimas décadas, los científicos siguen sin conocer a fondo los procesos fundamentales de las nubes que dan lugar a las precipitaciones. Para subsanar esta brecha del conocimiento, en el proyecto CLOUDLAB, financiado con fondos europeos, se aplicará una metodología pionera con uso de drones para sembrar nubes (inyectar diferentes concentraciones de partículas nucleadoras de hielo) e investigar los cambios microfísicos relacionados con la formación de hielo y la evolución de las nubes. Este proyecto formará parte de un enfoque multidimensional de siembra de nubes objetivada (con teledetección terrestre y un sistema de globos cautivos), centrado en los estratos invernales de Suiza, en unas condiciones que permitan replicar los experimentos de campo en condiciones comparables. Los resultados esperados incluyen una mejora de la previsión de las precipitaciones y la transferencia de conocimientos a los métodos de intervención climática.
Objetivo
Clouds have been seeded since the 1940s. Aimed at inducing weather modification, the method uses chemicals to alter the microphysical processes within a cloud to enhance precipitation, suppress hail, or dissipate fog. While the concept of cloud seeding is not new, detailed knowledge about the underlying microphysical processes in clouds is still sparse. CLOUDLAB will tackle this gap by injecting different ice nucleating particle concentrations into supercooled stratus clouds to investigate related microphysical changes, including fundamental aspects of ice formation and growth. To achieve this, the project combines a multi-dimensional approach of targeted cloud seeding with a focus on wintertime stratus clouds in Switzerland, the least dynamic cloud type which best mimics laboratory conditions and allows repetition of field experiments under similar initial conditions. We will inject ice nucleating particles from a seeding drone and perform measurements with ground-based remote sensing, a tethered balloon system equipped with a holographic imager and a measurement drone. Combined with measured meteorological parameters, we aim to understand the impact of cloud inhomogeneities for precipitation initiation via the ice phase. The analysis of our cloud seeding events will be used to validate and improve cloud microphysics schemes in the Swiss weather forecast model in large eddy simulations mode. By coarsening the horizontal resolution to weather forecast mode, the simulations will be extended to include all cloud types where the same microphysical processes are at work to improve precipitation forecast skills in Switzerland. Hence, CLOUDLAB will further the understanding of ice microphysics and precipitation initiation which will also improve climate projections. In addition to pioneering of a new methodology of using drones for cloud seeding, our results will be of particular interest to the weather modification and climate intervention communities.
Ámbito científico
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
Programa(s)
Régimen de financiación
ERC-ADG - Advanced GrantInstitución de acogida
8092 Zuerich
Suiza