Prediction of the Onset of Heavy Rain Using ...
Type de document :
Article dans une revue scientifique
DOI :
URL permanente :
Titre :
Prediction of the Onset of Heavy Rain Using SEVIRI Cloud Observations
Auteur(s) :
Patou, Maximilien [Auteur]
Vidot, Jérôme [Auteur]
Riédi, Jérôme [Auteur]
Penide, Guillaume [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Garrett, Timothy J. [Auteur]
Vidot, Jérôme [Auteur]
Riédi, Jérôme [Auteur]
Penide, Guillaume [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Garrett, Timothy J. [Auteur]
Titre de la revue :
Journal of Applied Meteorology and Climatology
Numéro :
57
Pagination :
2343-2361
Éditeur :
American Meteorological Society
Date de publication :
2018-10
Discipline(s) HAL :
Planète et Univers [physics]/Océan, Atmosphère
Résumé en anglais : [en]
AbstractThunderstorms and strong precipitation events can be highly variable in space and time and therefore are challenging to forecast. Geostationary satellites are particularly well suited for studying their occurrence ...
Lire la suite >AbstractThunderstorms and strong precipitation events can be highly variable in space and time and therefore are challenging to forecast. Geostationary satellites are particularly well suited for studying their occurrence and development. This paper describes a methodology for tracking temporal trends in the development of these systems using a combination of a ground-based radar rainfall product and cloud fields derived from the Meteosat Second Generation’s (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI). Cloud microphysical and radiative properties and the cloud perimeter-to-area ratio are used to characterize the temporal evolution of 35 cases of isolated convective development. For synchronizing temporal trends between cases, two reference times are used: the time when precipitating clouds reach a rain intensity threshold and the time of the maximum of rain intensity during the cloud life cycle. A period of decreasing cloud perimeter-to-area ratio before heavy rainfall is observed for both synchronization techniques, suggesting this parameter could be a predictor of heavy rain occurrence. However, the choice of synchronization time does impact significantly the observed trend of cloud properties. An illustration of how this approach can be applied to cloud-resolving models is presented to evaluate their ability to simulate cloud processes.Lire moins >
Lire la suite >AbstractThunderstorms and strong precipitation events can be highly variable in space and time and therefore are challenging to forecast. Geostationary satellites are particularly well suited for studying their occurrence and development. This paper describes a methodology for tracking temporal trends in the development of these systems using a combination of a ground-based radar rainfall product and cloud fields derived from the Meteosat Second Generation’s (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI). Cloud microphysical and radiative properties and the cloud perimeter-to-area ratio are used to characterize the temporal evolution of 35 cases of isolated convective development. For synchronizing temporal trends between cases, two reference times are used: the time when precipitating clouds reach a rain intensity threshold and the time of the maximum of rain intensity during the cloud life cycle. A period of decreasing cloud perimeter-to-area ratio before heavy rainfall is observed for both synchronization techniques, suggesting this parameter could be a predictor of heavy rain occurrence. However, the choice of synchronization time does impact significantly the observed trend of cloud properties. An illustration of how this approach can be applied to cloud-resolving models is presented to evaluate their ability to simulate cloud processes.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
CNRS
Collections :
Équipe(s) de recherche :
Interactions Rayonnement Nuages (IRN)
Date de dépôt :
2024-01-10T15:54:31Z
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