Agrillo, Giuseppe (2014) Weather predictions at high spatial resolutions for a volcanic ash cloud tracking system. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Weather predictions at high spatial resolutions for a volcanic ash cloud tracking system
Creators:
CreatorsEmail
Agrillo, Giuseppegiuseppe.agrillo@unina.it
Date: 31 March 2014
Number of Pages: 80
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Industriale
Scuola di dottorato: Ingegneria industriale
Dottorato: Ingegneria aerospaziale, navale e della qualità
Ciclo di dottorato: 26
Coordinatore del Corso di dottorato:
nomeemail
De Luca, Luigideluca@unina.it
Tutor:
nomeemail
Della Corte, VincenzoUNSPECIFIED
Riccio, AngeloUNSPECIFIED
Date: 31 March 2014
Number of Pages: 80
Uncontrolled Keywords: volcanic ash cloud dispersion tracking
Settori scientifico-disciplinari del MIUR: Area 03 - Scienze chimiche > CHIM/02 - Chimica fisica
Area 04 - Scienze della terra > GEO/12 - Oceanografia e fisica dell'atmosfera
Area 09 - Ingegneria industriale e dell'informazione > ING-IND/12 - Misure meccaniche e termiche
Aree tematiche (7° programma Quadro): AMBIENTE (INCLUSO CAMBIAMENTO CLIMATICO) > Mobilitare conoscenza ambientale per la politica, l'industria e la società
TRASPORTI (INCLUSO AERONAUTICA) > Aeronautica e trasporto aereo
Date Deposited: 07 Apr 2014 14:00
Last Modified: 12 Jan 2015 11:19
URI: http://www.fedoa.unina.it/id/eprint/10023

Abstract

The CCMMMA (Centro Campano per il Monitoraggio e la Modellistica Marina ed Atmosferica) is the marine weather center of the University of Naples “Parthenope” and its purpose is expose multi-disciplinary services for the environmental monitoring, produce weather, marine and air quality forecast for Europe, Italy and Campania region (southern Italy) at as high as possible spatial resolution. The weather data of CCMMMA has been used to customize a prototype system focused on volcanoes of southern Italy that allows the on-demand forecast of ash cloud dispersion. The aim is to deploy a workflow of coupled models embedded into an advanced computing system, able to provide on-demand hourly simulations oriented to the dispersion of ash clouds from volcanic eruptions. The daily weather output of the Weather and Research Forecast (WRF) model was coupled with the CALPUFF modeling system to obtain a hourly forecast dispersion of volcanic ash clouds in Southern Italy. The whole process is deployed through a bash-scripting wrapper that allows the execution of the workflow in a few minutes; this process could be useful for early-warning system and to improve the studies about flight safety, environment protection and climate change. In this work some case studies, together with the validation of results, will be shown. used to customize a prototype system focused on volcanoes of southern Italy that allows the on-demand forecast of ash cloud dispersion. The aim is to deploy a workflow of coupled models embedded into an advanced computing system, able to provide on-demand hourly simulations oriented to the dispersion of ash clouds from volcanic eruptions. The daily weather output of the Weather and Research Forecast (WRF) model was coupled with the CALPUFF modeling system to obtain a hourly forecast dispersion of volcanic ash clouds in Southern Italy. The whole process is deployed through a bash-scripting wrapper that allows the execution of the workflow in a few minutes; this process could be useful for early-warning system and to improve the studies about flight safety, environment protection and climate change. In this work some case studies, together with the validation of results, will be shown.

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