smart university: forecast weather service and "opendata" applications to share weather...
DESCRIPTION
The aim of CCMMMA - Centro Campano per il Monitoraggio e la Modellistica Marina e Atmosferica - University of Naples “Parthenope” is to offer a point of reference for weather and climate risk assessment to improve the management of natural and anthropic resources. We are aware that providing an efficient weather service could be a delicate task to play and, for this reason, since the beginning we used an “OpenData” approach. Currently, our results and data are shared using standard and open protocols. The CCMMMA promotes the development of Smart Communities around these environmental issues using the SEBETO project: a virtual environment provides the possibility to share all the needed technologies to access and manage our data. Users can develop desktop, web and mobile applications using our data to improve the dissemination of knowledge (http://web.uniparthenope.it). These policies will bring us to redefine the relationships between University, government agencies, companies and citizen to create a SmartUniversity to make a SmartCity. We promote and release many applications developed by users, students and fans such us the CCMMMMA apps for Android and iOS (iPhone/iPad) mobile platforms or a web applications.TRANSCRIPT
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Dipartimento di Scienze e Tecnologie
Università degli Studi di Napoli “Parthenope”
Smart University per le previsioni meteo-marine. Applicazioni “OpenData” per la diffusione di
contenuti e previsioni meteo--oceanografiche
CCMMMA Team…
Y. Cotroneo & G.Agrillo
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Il Centro nasce dall’esperienza nel campo della modellistica, delle misurazioni e delle simulazioni computazionali in ambito marino e atmosferico maturata già dagli anni ‘50 all’interno dell’Università di Napoli “Parthenope”. Attualmente è finanziato dall’Ateneo e gestisce una rete di monitoraggio meteo-marino realizzata sia con strumentazione convenzionale, sia con tecniche di telerilevamento ed ‘unmanned’.
Offre agli utenti un servizio di:
• Monitoraggio e previsione delle condizioni meteorologiche
• Monitoraggio, previsione e simulazione della circolazione marina
• Monitoraggio e previsione della qualità dell'aria Utenza eterogenea che va dal singolo cittadino ai Corpi dello Stato per il controllo del territorio e del mare, passando per aziende, Enti locali, gruppi di ricerca, associazioni sportive.
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Area di interesse: Territorio della Regione Campania e dei mari antistanti Inseriti concettualmente e computazionalmente nei contesti europeo ed italiano.
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Licola
6 AWS 2 Tide gages
1 Wave buoy 1 mooring 1 meteo-oceanographic buoy 1 Radar HF 1 Weather Radar
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Monitoraggio - AWS
year 2005
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Monitoraggio – Boa meteo-oceanografica
14.21 14.22 14.23 14.24 14.25 14.2640.785
40.79
40.795
40.8
40.805
40.81
40.815
40.82
40.825
40.83
40.835
40.84
40.845
Boa
Venti prevalenti 25 Giu - 28 Nov 2002
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In collaborazione con
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Monitoraggio – Sea Level
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Figura 1: Ondametro Datawell Waverider del tipo in dotazione al Dipartimento di Scienze per l’Ambiente
In collaborazione con il CUGRI – Univ. Salerno
Monitoraggio – Boa ondametrica
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Il radar WR-10X, operante in banda X alla frequenza di 9.4 GHz, è stato installato presso Castel Sant’Elmo (230 m slm) alla fine del 2011; offre la possibilità di monitorare in tempo reale le precipitazioni atmosferiche che interessano l’area urbana di Napoli.
Il radar opera in maniera continua ed effettua scansioni ad intervalli di 5 minuti, con range di 36 km e 72 km. Il WR-10X scansiona l’atmosfera a 360° e con diversi angoli di elevazione
Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – Weather Radar
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Monitoraggio – HF Radar
Esempio di copertura del sistema radar
AMRA-CoNISMa-Uniparthenope
(al 4 novembre 2013)
Risoluzione spaziale: 1 km
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Monitoraggio – HF Radar
Diffusione Inquinanti
I campi di velocità superficiale rilevati dal radar HF vengono inoltre usati come campi avvettivi per simulazioni di dispersione di inquinanti.
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I dati relativi a queste attività convergono nel portale del Centro meteo in pagine dedicate
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Sim
ulaz
ione
e p
revi
sion
e
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Weather Forecast
Rapporti di nesting 2 versioni 1:3 & 1:5
Scale da 27 Km a 1 Km
Simulazione e previsione
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3 km 1 km
1 km 250 m
Simulazione e previsione
CALMET
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Simulazione e previsione
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Simulazione e previsione
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Simulazione e previsione
XXXX
XXXX
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SO
2 [ppb] Simulazione e previsione
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Dispersione di inquinanti da incendi
Incendio ecoballe di Acerra (Agosto 2012)
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Simulazione e previsione
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Wave Watch III Wind Driven Sea Waves
Simulazione e previsione
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Simulazione e previsione Modellistica della circolazione marina
Hindcast POM Due modelli implementati:
POM in modalità hindcast e non operativa
ROMS in modalità forecast e operativa Il Princeton Ocean Model è stato implementato con alta risoluzione in un dominio che include il Golfo di Napoli e i vicini golfi di Gaeta e Salerno (De Ruggiero et al., 2013). Risoluzione spaziale orizzontale di 1/144° 40 livelli-sigma nella verticale Forzato dai venti WRF ad alta risoluzione prodotti dal CCMMMA
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Simulazione e previsione Modellistica della circolazione marina
Hindcast POM Forecast
ROMS 80m
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Attività svolte: – ACWS 2012
– Trofeo Tre Mari (Optimist) 2013
– Trofeo Grande Vela e Velalonga 2013
– ACWS 2013
– Campionato Primaverile di Altura 2013
– Campionato Mondiale Minialtura 2013
Progetti, collaborazioni e convenzioni: – Consiglio Nazionale delle
Ricerche “TEMASAV: TEcnologie e Monitoraggio Ambientale per la Sostenibilità della Aree Vaste”
– Regione Campania Settore Veterinario “Sistema Web per la molluschicoltura” “Incendi/Emissioni”
– Comune di Napoli Servizio Risorsa Mare “Ingressione marina da eventi estremi”
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Il Centro ha coadiuvato il Comando Generale delle Capitanerie di Porto di Napoli che ha simulato le operazioni di emergenza da attivare nel caso di ammaraggio di un aereo nel Golfo di Napoli.
Ministero delle Infrastrutture e dei trasporti Direzione Marittima di Napoli
4° centro secondario di soccorso marittimo M.R.S.C Napoli
Ottobre 2013 Esercitazione SQUALO 2013
In questa esercitazione sono stati r i l a s c i a t i 6 4 d u m m i e s successivamente recuperati da 8 unità navali e 8 aeree della Guardia Costiera, Carabinieri, Polizia, Vigili del Fuoco…
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Ministero delle Infrastrutture e dei trasporti Direzione Marittima di Napoli
4° centro secondario di soccorso marittimo M.R.S.C Napoli
Risultati PRELIMINARI!
Posizione di rilascio dei dummies e traiettoria percorsa
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
• Open Government: ges;one trasparente delle risorse e partecipazione colle?va;
• Open Data: da; accessibili a tu+!! • Approccio globalmente diffuso
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2007
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2011
h"p://en.wikipedia.org/wiki/Open_data
Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
• Open Government: ges;one trasparente delle risorse e partecipazione colle?va;
• Open Data: da; accessibili a tu+!! • Approccio globalmente diffuso
2007
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2011
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
• Open Government: ges;one trasparente delle risorse e partecipazione colle?va;
• Open Data: da; accessibili a tu+!! • Approccio globalmente diffuso
2007
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• Area web dedicata all’ Open Data
• Soluzioni soLware
specifiche: – GDS: GrADS Data Server – OPeNDAP/Hyrax – HTTP (semplice ma sempre
efficace…)
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
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Il so>ware
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
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Il so>ware L’hardware: Cluster HPC-‐GPU BlackJeans
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/datacenter
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Server OPe
NDA
P/Hy
rax
Meteo Open(Big)Data h2p://meteo.uniparthenope.it/opendap
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GrADS
Data Server (G
DS)
Meteo Open(Big)Data h2p://meteo.uniparthenope.it/dods
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• Abbiamo i da;: e adesso??
Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
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• Abbiamo i da;: e adesso?? • Un a?mo…alcune domande: – Come usarli? – Chi li u;lizza? – Perché usarli?
• Dove s;amo andando? • Forse manca qualcosa…
Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
… a Smart City
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Meteo Open BigData
Smart University h2p://meteo.uniparthenope.it/data
Come usarli?
Chi li u;lizza? Perché usarli?
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Smart University h2p://meteo.uniparthenope.it/data
ProgeAo UP-‐API Store
Come usarli?
Chi li u;lizza? Perché usarli?
Meteo Open BigData
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UP-‐API Store h2p://api.uniparthenope.it
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UP-‐API Store h2p://api.uniparthenope.it
UPAPI SDK command line tools h2p://web.uniparthenope.it/upapi/ h2p://bitbucket.org/montella/upapi/
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Smart University h2p://meteo.uniparthenope.it/data
ProgeAo SEBETO
Come usarli?
Chi li u;lizza? Perché usarli?
Meteo Open BigData
ProgeAo UP-‐API Store
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Proge2o SEBETO h2p://students.uniparthenope.it
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Centro di Calcolo Ele2ronico Servizi Informa;ci Studen; e Dida?ca
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Meteo Open(Big)Data h2p://meteo.uniparthenope.it/data
… a Smart City
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h t t p : / / m e t e o . u n i p a r t h e n o p e . i t
Smart University h2p://meteo.uniparthenope.it/data
ProgeAo SEBETO
“Create a Smart University to make a Smart City” Come usarli?
Chi li u;lizza? Perché usarli?
Meteo Open BigData
ProgeAo UP-‐API Store
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• Proge2o CCMMMA – Produce BigData h2p://meteo.uniparthenope.it
• UP-‐API Store (UniParthenope API):
– Sviluppo di API per rendere accessibili i da;
h2p://api.uniparthenope.it
• Proge2o SEBETO: – Community studentesca per la
condivisione delle conoscenze. h2p://students.uniparthenope.it
Smart University h2p://meteo.uniparthenope.it/data
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RisultaP: mobile app h2ps://play.google.com/store
Ma considerato che siamo affama;…
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RisultaP: mobile app h2p://store.apple.com
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RisultaP: web widget h"p://meteo.uniparthenope.it/apps/web/widget/tables
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“Create a Smart University to make a Smart City”
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