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Application of three satellite techniques in support of precipitation forecasts of a NWP [numerical weather prediction] model / H. Feidas in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 24 (December 2005) . - pp 5393 - 5417 Titre : Application of three satellite techniques in support of precipitation forecasts of a NWP [numerical weather prediction] model Type de document : Article/Communication Auteurs : H. Feidas, Auteur ; K. Lagouvardos, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 5393 - 5417 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] émulsion infrarouge couleur [Termes IGN] Grèce [Termes IGN] modèle numérique [Termes IGN] nuage [Termes IGN] précipitation [Termes IGN] prévision météorologique [Termes IGN] surveillance météorologique [Termes IGN] temps réel Résumé : (Auteur) In this study, the efficiency of an integrated operational system, based on three satellite infrared techniques, to support nowcasting and very short range forecasting of high precipitation rates provided by a numerical weather prediction (NWP) model is examined. Three algorithms, one for the detection and tracking of convective cloud cells and another two for rainfall estimation, are applied on satellite sensor data in order to qualitatively and quantitatively verify the precipitation forecasts provided by a NWP model. The application of the detection and tracking algorithm aims at verifying qualitatively, in real time, the precipitation forecasts by monitoring the detected convective cloud cells, at the same time intervals that the model forecasts are given. The application of the rainfall estimation techniques on satellite sensor data is needed for both quantitative and qualitative crosscomparisons with the model outputs. The developed tool is applied in a case of intense precipitation over Greece. The results of the application are promising and show the potential for the implementation of the integrated system as a support tool for nowcasting and very short range forecasting by performing realtime validation of NWP precipitation forecasts. Numéro de notice : A2005-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500273551 En ligne : https://doi.org/10.1080/01431160500273551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27657 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05241	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Application of an automated cloud-tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems / H. Feidas in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1677 - 1698 Titre : Application of an automated cloud-tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems Type de document : Article/Communication Auteurs : H. Feidas, Auteur ; C. Cartalis, Auteur Année de publication : 2005 Article en page(s) : pp 1677 - 1698 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] image Météosat [Termes IGN] météorologie [Termes IGN] nuage [Termes IGN] vapeur d'eau Résumé : (Auteur) In this study, an automatic algorithm for tracking convective cloud cells, on the basis of infrared and water vapour Meteosat images, is applied in the case of intense precipitation events of 26b and 27 january 1996 in Greece, and a the results are presented. The case presented in this study has the particularity of consisting of several localized maximum precipitation events that resulted from small mesoscale convective systems. The ability of the algorithm to detect and track in Meteosat images, in real mode, propagating cloud systems of this size, through the monitoring of several cloud parameters that express cloud development and movement, is examined. It was found that the algorithm was capable of identifying small mesoscale cloud cells and tracking them consistently to the point of dissipation. Moreover, the introduction in the algorithm of new cloud parameters, which are directly related to the cloud-top structure, has proved very valuable in providing additional information on the convective potential of the detected cloud cells. Finally, an empirical nowcasting of convective cloud movement and evolution could be carried out in many cases to support the forecaster's decisions by using information on cloud speed, direction and development in conjunction with synoptic analysis. Numéro de notice : A2005-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331338023 En ligne : https://doi.org/10.1080/01431160512331338023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27343 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05081	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt