Titre :

Prediction of the onset of heavy rain using seviri cloud observations

Auteur(s) :

Patou, Maximilien [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Vidot, Jerome [Auteur]
Centre de Météorologie Spatiale
Riedi, Jerome [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
interaction Clouds Aerosols Radiations - ICARE/AERIS Data and Services Center - UMS 2877 [ICARE]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Penide, Guillaume [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Garrett, Timothy J. [Auteur]
University of Utah

Titre de la revue :

Journal of Applied Meteorology and Climatology

Nom court de la revue :

J. Appl. Meteorol. Climatol.

Numéro :

57

Date de publication :

2018-10-01

ISSN :

1558-8424

Mot(s)-clé(s) en anglais :

Convective storms
Cloud microphysics
Cloud water
phase
Cloud tracking
cloud motion winds
Satellite observations
Nowcasting

Discipline(s) HAL :

Physique [physics]

Résumé en anglais : [en]

Thunderstorms 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 ...
Lire la suite >Thunderstorms 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) :

CNRS
Université de Lille

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Date de dépôt :

2024-01-30T11:45:51Z
2024-02-22T15:33:59Z