RITMARE La Ricerca ITaliana per il MARE

Transcript

Progetto Bandiera
RITMARE
La Ricerca ITaliana per il MARE
Archivio delle soluzioni esterne a RITMARE
Codice documento:
SP7_WP1_AZ2_D01
Data di emissione
21/11/2013
Data prevista
rilascio
03/2013
di
Redazione
Autore Principale
Alessandro Sarretta
(CNR-ISMAR)
Approvato
Alessandro Sarretta
Paola Carrara
Archivio delle soluzioni esterne a
RITMARE
Titolo doc.:
Codice doc.:
SP7_WP1_AZ2_D01
Distribuzione:
SP7
Re
Data
v.
Pag
Redaz.
Con il contributo di
Approv.
Stefano Menegon
(CNR-ISMAR)
Pietro Alessandro
Brivio e Anna
Basoni (CNR
IREA)
Paolo Villa (ISTI
CNR)
Elena Partescano
e Alessandro
Altenburger
(OGS)
Alessandro
Sarretta
g.
1
02/08/2013
65
Alessandro
Sarretta
Paola
Carrara
1
2
L'attività descritta nella presente pubblicazione è stata finanziata dal Progetto
Bandiera RITMARE - La Ricerca Italiana per il Mare - Coordinato dal Consiglio
Nazionale delle Ricerche e finanziato dal Ministero dell'Istruzione, dell'Università e
della Ricerca nell'ambito del Programma Nazionale della Ricerca 2011-2013.
Codice documento: SP7_WP1_AZ2_D01
pag. 2/65
Indice
1 INTRODUZIONE............................................................................................................................ 5
2 ATTIVITÀ DELLE UNITÀ OPERATIVE..........................................................................................6
2.2 UO01 ISMAR............................................................................................................ 7
2.3 UO02 IREA............................................................................................................... 8
2.4 UO03 OGS................................................................................................................ 8
2.5 Descrizione della scheda..........................................................................................9
ALLEGATO 1: SCHEDE DI SOLUZIONI ESISTENTI FUORI RITMARE CENSITE DALL'UO01
ISMAR............................................................................................................................................. 11
INSPIRE....................................................................................................................... 11
InaSAFE - AIFDR......................................................................................................... 13
PublicData EU..............................................................................................................14
Euro-GEOSS broker....................................................................................................15
ICAN............................................................................................................................ 16
PPRD South Programme - GeoSDI.............................................................................17
Eye on Earth................................................................................................................ 18
Marineexplore.............................................................................................................. 19
ALLEGATO 2: SCHEDE DI SOLUZIONI ESISTENTI FUORI RITMARE CENSITE DALL'UO02
IREA................................................................................................................................................ 21
a. EMIS-GMIS (JRC).....................................................................................................22
b. ARGOMARINE..........................................................................................................24
c. eMII - IMOS...............................................................................................................25
d. iMarine...................................................................................................................... 27
e. National Oceanographic Data Center - NOAA..........................................................28
f. Ocean Biogeographic Information System (OBIS).....................................................31
g. MarBEF..................................................................................................................... 32
h. HALE-The HUMBOLDT Alignment Editor..................................................................34
i. Gulf of Mexico Data Atlas - NOAA..............................................................................35
j. Virtual Ocean..............................................................................................................38
ALLEGATO 3: IL CASO EMARINE INFORMATION INFRASTRUCTURE (EMII).........................40
pag. 3/65
Executive summary (in italiano)
Il deliverable SP7_WP1_AZ2_D01, intitolato “Archivio delle soluzioni esterne a
RITMARE”, rientra nell'Azione 2 (Definizione dello stato dell’arte delle soluzioni esterne a
RITMARE) del WP1 (Definizione dei requisiti dell'infrastruttura).
Il WP1 ha come obiettivo primario “l'identificazione dei requisiti del progetto RITMARE e
dei suoi SP in termini di infrastruttura per la gestione dei dati e processi.”
L'Azione 2 di WP1 ha l'obiettivo di provvedere alla definizione dello stato dell’arte in
ambito internazionale e nazionale in progetti e pratiche non incluse nelle comunità riferite
a RITMARE per ciò che riguarda i requisiti architetturali e tecnologici di RITMARE come
emerso in SP7_WP1_AZ1. In particolare, sono state considerate le soluzioni che
favorisco l’interoperabilità al più alto livello e che si ritengono più promettenti per garantire
la sopravvivenza dell’Infrastruttura nel lungo periodo.
Le Unità Operative hanno lavorato insieme per definire una lista di iniziative di interesse,
le modalità di descrizione di tali iniziative e la loro archiviazione in una modalità comune.
Sono state raccolte e archiviate 30 schede contenenti altrettante soluzioni/iniziative non
incluse nelle comunità riferite a RITMARE.
pag. 4/65
1 Introduzione
Il deliverable SP7_WP1_AZ2_D01, intitolato “Archivio delle soluzioni esterne a
RITMARE”, rientra nell'Azione 2 (Definizione dello stato dell’arte delle soluzioni esterne a
RITMARE) del WP1 (Definizione dei requisiti dell'infrastruttura).
Il WP1 ha come obiettivo primario “l'identificazione dei requisiti del progetto RITMARE e
dei suoi SP in termini di infrastruttura per la gestione dei dati e processi.”
L'Azione 2 di WP1 ha l'obiettivo di provvedere alla definizione dello stato dell’arte in
ambito internazionale e nazionale in progetti e pratiche non incluse nelle comunità riferite
a RITMARE per ciò che riguarda i requisiti architetturali e tecnologici di RITMARE come
emerso in SP7_WP1_AZ1. In particolare, sono state considerate le soluzioni che
favorisco l’interoperabilità al più alto livello e che si ritengono più promettenti per garantire
la sopravvivenza dell’Infrastruttura nel lungo periodo.
Le informazioni raccolte sono state organizzate in un archivio delle soluzioni la cui
struttura è tale da permettere il confronto con i requisiti (WP1_AZ1). La struttura
dell'archivio è stata concordata con WP2, WP3 e WP4_AZ1.
pag. 5/65
2 Attività delle Unità Operative
Le Unità Operative che lavorano in WP1_AZ2 sono:
•
UO01 ISMAR
•
UO02 IREA
•
UO03 OGS
Tutte le Unità Operative hanno partecipato attivamente alle attività dell'Azione 2 WP1,
sia in termini di collaborazione e scambio di informazioni e documenti, sia in termini di
contributo effettivo alla creazione dell'archivio delle soluzioni esistenti fuori RITMARE.
L'interazione è avvenuta principalmente via e-mail, ma sono stati effettuati anche alcuni
incontri, sia fisici sia virtuali, per chiarire alcuni punti specifici e aggiornare l'andamento
delle attività.
L'Unità Operativa ISMAR ha partecipato attivamente alle attività dell'Azione 2 WP1, sia
in termini di coordinamento, sia in termini di contributo effettivo alla creazione dell'archivio
delle soluzioni esistenti fuori RITMARE.
Le tre Unità Operative, congiuntamente, hanno contribuito a creare una lista di circa 60
iniziative potenzialmente di interesse per il progetto, di cui alla fine ne sono state
selezionate 31 per il censimento effettivo, fornendo semplici metadati di base per la loro
categorizzazione e la individuazione come soluzioni “interne” (WP2_AZ1) o “esterne”
(WP1_AZ2) a RITMARE.
La seguente tabella 2 mostra le iniziative selezionate per il censimento:
Iniziativa
Sito web
AODN
Argomarine
BioMedBridges
CIGNO
EMBRC
EMII-IMOS
EMIS-GMIS
Emodnet Chemistry
EnvEurope
http://portal.aodn.org.au/aodn/
ISTI
http://www.argomarine.eu/
ISTI
http://www.biomedbridges.eu
SZN
http://cigno.ve.ismar.cnr.it/
ISMAR
http://www.embrc.eu/
SZN
http://imos.aodn.org.au/imos/
ISTI
http://emis.jrc.ec.europa.eu
ISTI
http://www.emodnet-chemistry.eu/
OGS
http://www.enveurope.eu/
IREA
http://www.eurogeoss.eu/broker/Pages/A
ISMAR
bouttheEuroGEOSSBroker.aspx
http://www.eyeonearth.org
ISMAR
http://www.eurosites.info/
OGS
http://www.geo-seas.eu/
OGS
http://www.dta.cnr.it/content/view/2735/2
IREA
44/lang,en/
http://www.groom-fp7.eu
OGS
Euro-GEOSS broker
EyeOnEarth
EuroSITES
Geo-Seas
GIIDA
GROOM
Gulf of Mexico Data
Atlas (NOAA)
HALE
http://gulfatlas.noaa.gov/
UO
Esterna/Int
erna
WP1
WP1
WP2
WP2
WP2
WP1
WP1
WP2
WP2
WP1
WP1
WP2
WP2
WP2
WP2
ISTI
WP1
http://www.dhpanel.eu/humboldt-framew
ISTI
ork/hale.html
WP1
pag. 6/65
ICAN
http://ican.science.oregonstate.edu/
http://www.i-marine.eu/Pages/Home.asp
iMarine
x
InaSAFE - AIFDR
http://inasafe.org
INSPIRE
http://inspire.jrc.ec.europa.eu/
Jerico
http://www.jerico-fp7.eu/
LifeWatch
http://www.lifewatch.eu/it
LTER
http://www.lter-europe.net/
MarBEF/iOBIS/EurOBIS http://www.marbef.org/
Marineexplore
http://marinexplore.org
MyOcean
http://www.myocean.eu.org/
NODC-NOAA
http://www.nodc.noaa.gov/
OBIS
http://www.iobis.org
PPRD South
http://www.euromedcp.eu
Programme - GeoSDI
PublicData EU - CKAN http://publicdata.eu/
SeaDataNet/Emodnet http://www.seadatanet.org/
Virtual Ocean
www.virtualocean.org/
Tab 2
ISMAR
WP1
ISTI
WP1
ISMAR
ISMAR
OGS
IREA
IREA
ISTI
ISMAR
ISAC
ISTI
ISTI
WP1
WP1
WP2
WP2
WP2
WP1
WP2
WP2
WP1
WP1
ISMAR
WP1
ISMAR
OGS
IREA
WP1
WP2
WP2
Per ciascuna delle soluzioni sopra elencate è stata compilata una scheda (descritta nel
dettaglio nel paragrafo 2.4) contenente informazioni generali sull'iniziativa, le principali
funzionalità fornite, i dati messi a disposizione e una prima valutazione preliminare sul suo
grado di maturità per i fini del SP7 di RITMARE. Tale scheda è stata concordata insieme
al responsabile di WP2_AZ1.
Le schede oggetto di questo documento, cioè quelle contrassegnate dall'attributo WP1
nella colonna “Esterne/Interne” della tabella, vengono fornite come file in formato .xls e
.ods allegati al presente deliverable. Per completezza e facilità di lettura, esse vengono
anche inserite direttamente in questo documento come allegato nelle pagine seguenti.
2.2
UO01 ISMAR
ISMAR ha avuto il ruolo di coordinatore dell'azione 2 WP1 e, in tale contesto, ha
provveduto a coordinarsi ai vari livelli necessari per inquadrare l'attività nel quadro degli
obiettivi del SP7.
ISMAR ha mantenuto i contatti con le altre Unità Operative del WP1_AZ2 (UO02 IREA e
UO03 OGS), condividendo e scambiando informazioni e documenti.
L'UO01 ISMAR ha mantenuto stretti contatti con:
•
il responsabile di SP7, per l'inquadramento dell'Azione nel più ampio spettro delle
attività del Sottoprogetto 7;
•
il responsabile del WP1, per l'interazione dell'Azione 2 con i risultati emersi dalla
raccolta dei requisiti (Azione 1 WP1);
•
il responsabile dell'Azione 1 WP2 (Analisi dei prodotti, delle architetture e delle
soluzioni tecnologiche), per il coordinamento nella creazione e popolamento delle
schede di censimento delle soluzioni individuate
•
il responsabile dell'Azione 1 WP4_AZ1 (Analisi di confronto (gap analysis)) per
concordare le modalità di descrizione delle soluzioni in modo che possano essere
utilizzate efficacemente durante la fase di gap analysis.
Tra quelle caratterizzate come “esterne”, l'UO01 ISMAR ha analizzato in particolare 7
infrastrutture/soluzioni/progetti (vedi Allegato 1 per le schede di dettaglio):
pag. 7/65
2.3
•
Euro-GEOSS broker,
•
EyeOnEarth,
•
ICAN,
•
InaSAFE – AIFDR,
•
INSPIRE,
•
Marineexplore
•
PPRD South Programme – GeoSDI,
•
PublicData EU – CKAN.
UO02 IREA
L’UO02 ha fornito supporto per la ricerca e il censimento di alcune soluzioni infrastrutturali
per la catalogazione, gestione, visualizzazione e offerta di dati marini e marittimi, esistenti
ed implementate al di fuori del consorzio di RITMARE.
Secondo lo schema della base di dati di requisiti e soluzioni per il SP7, preparata
all'interno dei lavori di WP1_AZ1 e WP4_AZ1, e in coordinamento con SP7_WP2 (Analisi
delle soluzioni esistenti), sono state raccolte schede dettagliate che analizzano le
seguenti soluzioni infrastrutturali esterne al progetto RITMARE (si allegano dette schede
nell'Allegato 2):
Tabella 2-1 Elenco delle iniziative censite dall’UO02
1. EMIS(JRC, EU)
2. Argomarine MIS (ISTI-CNR, Italia)
3. eMII (IMOS, Australia)
4. iMarine (ISTI-CNR, Italia)
5. NODC (NOAA, USA)
6. iOBIS (OBIS/IOC-IODE, Global)
7. MarBEF (Network of Eccellence, EU)
8. HALE (FP7 Project HUMBOLDT, EU)
9. Gulf of Mexico Data Atlas (NOAA, USA)
10. Virtual Ocean
http://emis.jrc.ec.europa.eu/
http://www.argomarine.eu/
http://imos.org.au/emii.html
http://www.i-marine.eu
http://www.nodc.noaa.gov/
http://www.iobis.org/
http://www.marbef.org/
http://www.dhpanel.eu/humboldt-framew
ork/hale.html
http://gulfatlas.noaa.gov/
http://www.virtualocean.org/
Le attività svolte da UO02 sono state svolte in connessione e secondo le direttive del WP
leader, con il costante aggiornamento sullo stato dei lavori di tutte le unità coinvolte
tramite incontri fisici e virtuali.
In aggiunta alle schede visibili nell'Allegato 2, sono state raccolte ulteriori informazioni per
ciascuno dei progetti menzionati. Un esempio di tali informazioni raccolte per la
descrizione di una soluzione infrastrutturale censita da UO02 è fornito nell'Allegato 3,
relativamente all’infrastruttura eMII sviluppata da IMOS, Australia.
Anche in vista del contesto internazionale in cui i lavori di Ritmare e di SP7_AZ2 sono
inseriti, le informazioni sulle soluzioni esterne censite da UO02 sono state raccolte in
lingua inglese.
2.4
UO03 OGS
L'OGS (UO03 del WP1_AZ2) ha inizialmente valutato le ricerche, progetti e iniziative
esistenti, sia concluse che in corso, a livello nazionale ed internazionale, le cui
infrastrutture favoriscano l’interoperabilità al più alto livello e che si ritengano più
promettenti per garantire la sopravvivenza dell’Infrastruttura RITMARE nel lungo periodo.
pag. 8/65
Sono state individuate alcune iniziative sia interne che esterne a Ritmare, che possono
essere utilizzate come spunto per lo sviluppo dell'infrastruttura Ritmare.
L'UO ha contribuito a creare una lista delle iniziative da censire, svolgendo un'intensa
attività di ricerca per reperire la documentazione necessaria per poter individuare le
iniziative esterne a RITMARE che potessero con le loro funzionalità portare un contributo
significativo alla realizzazione dell'infrastruttura RITMARE.
Inoltre, l'UO ha contribuito, in collaborazione con le altre UO appartenenti al WP1 e con il
WP2, alla scelta dei campi utilizzati per la descrizione delle iniziative ed alla raccolta delle
codifiche utilizzate per la definizione del tipo di dato, delle funzionalità, del formato, della
tipologia di aggregazione e della maturità dell'iniziativa.
Congiuntamente all'attività di censimento delle iniziative esterne a RITMARE, l'UO si è
occupata di collaborare con il WP leader per coordinare l'attività da svolgere in
collaborazione con il WP2. Ciò si è svolto anche attraverso una serie di incontri fisici e
virtuali.
2.5
Descrizione della scheda
Si riporta di seguito la descrizione della struttura della scheda di censimento e delle
informazioni acquisite.
La scheda è suddivisa in quattro sezioni: 1) Identificazione, 2) Soluzioni, 3) Informazioni,
4) Maturità iniziativa/progetto.
1. Identificazione
La sezione “Identificazione” contiene le informazioni per identificare e per
descrivere l'iniziativa o il progetto analizzato:
•
Nome Iniziativa/Progetto: nome ufficiale o acronimo;
•
URL: indirizzo Web della Home Page del progetto o il riferimento alla
principale pagina descrittiva;
•
Descrizione: descrizione sintetica del progetto con particolare riferimento agli
aspetti di interesse dell'infrastruttura interoperabile di RITMARE;
•
Interna/Esterna: indicazione sulla classificazione dell'iniziativa in riferimento
alla sua appartenenza alle comunità di RITMARE. Come evidenziato
precedentemente, questo documento si focalizza sulle iniziative “Esterne”.
•
Coinvolgimento: descrizione del coinvolgimento e del rapporto tra le comunità
di RITMARE e l'iniziativa in oggetto;
•
Tipologia: classificazione
sintetiche;
•
Utenti: elenco dei differenti attori coinvolti che si avvalgono delle infrastrutture
e delle funzionalità del progetto;
•
Commenti: eventuali commenti riportati dal compilatore.
dell'iniziativa utilizzando una o più categorie
2. Soluzioni
L'obiettivo di questa sezione è di descrivere le principali funzionalità implementate
dall'iniziativa. Per ciascuna funzionalità sono riportate le seguenti informazioni:
•
Funzionalità: tipologia della funzionalità analizzata espressa su una lista di 14
categorie (Download, Upload, Visualizzazione, Trasformazione, Data entry,
Analisi statistiche, Analisi spaziali, Analisi di serie temporali, Modellazioni,
Analisi di testi, Interrogazione, Distribuzione, Discovery, Altro);
•
Beneficiario: una o più categorie di utenti che si avvalgono della funzionalità in
oggetto;
pag. 9/65
•
Tecnologia: tecnologia utilizzata per implementare la funzionalità;
•
Ulteriori dettagli (obiettivi, vincoli, esigenze): eventuali dettagli per evidenziare
le caratteristiche specifiche e gli elementi di interesse per l'infrastruttura di
RITMARE.
3. Informazioni
Descrizione dei dati e delle informazioni rese disponibili, utilizzate o gestite
attraverso il progetto.
•
Descrizione generica del dato: breve descrizione della base di dati o del
gruppo di risorse informative;
•
Beneficiario, utenti utilizzatori: elenco degli attori a cui si rivolge l'offerta
informativa;
•
Ulteriori dettagli: informazioni aggiuntive per evidenziare le caratteristiche
specifiche della risorsa informativa;
•
Tipo di dati: classificazione della tipologia dei dati, espressa su una lista di 9
categorie (Dati vettoriali, Coverage, Osservazioni e misure, Informazioni
testuali, Programmi, Metadati, Ontologie – thesauri - dizionari controllati –
tassonomie, Informazioni multimediali, altro);
•
Volume: dimensione indicativa dei dati in oggetto;
•
Unità di misura: unità di misura con cui è espresso il volume (es. GB, TB, PB)
•
Formato: formato/formati principali con cui sono distribuiti i dati espressi su
una lista di 11 tipologie (txt, xls o xlsx, csv, shp, xml, JSON, postgres, tiff,
jpeg, netcdf, mp3 – mp4);
•
Aggiornamento: frequenza di aggiornamento dei dati;
•
Aggregazione: livello di applicazione delle informazioni descrittive (metadati)
espresse su una lista di 5 livelli/categorie (dataset, serie temporali,
databases, cataloghi, fogli di calcolo);
•
Proprietà del dato: identifica il proprietario del dato;
•
Policy: policy di distribuzione e accesso alla risorse informative e licenze di
utilizzo delle stesse;
4. Maturità Iniziativa/Progetto
Prospetto sintetico (e puramente qualitativo e preliminare) per evidenziare il livello di
maturità del progetto. La valutazione per tutti gli attributi è espressa su una scala a
cinque livelli: Pessima, Debole, Media, Buona, Eccellente.
•
•
Comunità utenti: giudizio sulla numerosità degli utenti coinvolti e sulla
significatività della comunità;
•
Ricchezza funzionalità: valutazione sul numero, qualità e innovatività delle
funzionalità implementate;
•
Ricchezza dati, formati, …: valutazione sul numero, qualità e specificità delle
risorse informative gestite dall'iniziativa;
Appropriatezza ai requisiti: grado di rispondenza di funzionalità e dati ai requisiti di
RITMARE
pag. 10/65
Allegato 1: Schede di soluzioni esistenti fuori
RITMARE censite dall'UO01 ISMAR
INSPIRE
Nome
iniziativa/progetto INSPIRE
URL
http://inspire.jrc.ec.europa.eu/
INSPIRE (Insfrastructure for Spatial Information in the
European Community) è una Direttiva europea (2007/2/EC)
che ha come scopo "stabilire norme generali
volte all’istituzione dell'Infrastruttura per l'informazione
territoriale nella Comunità europea per gli scopi delle politiche
ambientali comunitarie e delle politiche o delle
attività che possono avere ripercussioni sull'ambiente". La
Direttiva INSPIRE comprende varie attività per l'attuazione
dei principi fondanti della Direttiva, che vanno dalla
definizione di regole per la creazione di sevizi web per la
ricerca, visualizzazione, scaricamento, trasformazione di set
di metadati, dati e servizi, alla definizione di modelli dati
tematici per l'interoperabilità, alla creazione di un portale di
accesso ai servizi resi disponibili dagli stati membri.
Descrizione
Interna/Esterna
Esterna
ISMAR è registrato come SDIC in INSPIRE:
http://inspire.jrc.ec.europa.eu/index.cfm/pageid/42/list/7/id/34
Coinvolgimento
8750
(se interna)
Tipologia
Utenti
Commenti
legislazione europea, portale, catalogo metadati, servizi web
stati membri della CE, PA, cittadini, ...
Codice documento SP7_WP1_AZ2_D01
Allegato 1
pag. 11/65
Soluzioni
Funzionalità
Beneficiario Tecnologia Ulteriori dettagli (obbiettivi, vincoli, esigenze)
Download
L'attuale geoportale (http://inspiregeoportal.ec.europa.eu/discovery/) implementa le
funzioni di discovery e view. L'operational geoportal (in
sviluppo) integrerà anche download e trasformazione
Visualizzazione
Trasformazione
Discovery
altro
Il metadata editor (http://inspiregeoportal.ec.europa.eu/editor/) è un applicativo web
open source dedicato alla compilazione di metadati
compliant con le richieste della Direttiva INSPIRE.
Java e
Permette di creare nuovi metadati o di importarne di
librerie
esistenti.
Google Web Permette inoltre la validazione dei metadati stessi
Toolkit
secondo lo schema INSPIRE.
Informazioni
Descrizione generica del Benefic
dato
iario
Ulteriori dettagli
I dati che verranni resi
disponibili dagli Stati
Mebri della CE all'interno
delle regole definite da
INSPIRE comprendono
dati appartenenti alle 34
categorie tematiche
elencate nel sito di
INSPIRE:
http://inspire.jrc.ec.europ
a.eu/index.cfm/pageid/2/li
st/7
gli standard richiesti
sono quelli definiti
dalle Data
Specifications
(http://inspire.jrc.ec.eu
ropa.eu/index.cfm/pag
eid/2) per i modelli dati
e dai Network
Services
(http://inspire.jrc.ec.eu
ropa.eu/index.cfm/pag
eid/5) per i vari servizi
di rete.
Tipo dati
Propriet
Unità di Format Aggiorn Aggreg à del
Volume misura o
amento azione dato
Policy
Dati vettoriali,
Coverages,
Raster,
Osservazioni e
misure,
Thesauri,
Dizionari
controllati
Maturità iniziativa/progetto
Comunità Ricchezza
Ricchezza dati, Appropiratezza
utenti
funzionalità formati, ...
ai requisiti
eccellente buona
eccellente
buona
Allegato 1
pag. 12/65
InaSAFE - AIFDR
Nome
iniziativa/progetto InaSAFE - AIFDR
URL
http://inasafe.org; http://www.aifdr.org/
AIFDR (Australia-Indonesia Facility for Disaster Reduction) è
un'iniziativa congiunta Australia - Indonesia. Nell'ambito di
questa iniziativa è stato sviluppato il progetto InaSAFE
(Indonesia Scenario Assessment for Emergency). InaSAFE
è un software open-source (nella pratica un plugin di QGIS)
per simulare scenari di impatto per i rischi naturali a
supporto della piatificazione e della gestione delle
emergenze.
Descrizione
Molte potenzialità sono legate all'utilizzo integrato in QGIS.
Interna/Esterna
Esterna
Coinvolgimento
(se interna)
Tipologia
Plugin GIS Desktop
Utenti
Ricercatori, pianificatori, protezione civile
InaSAFE è un progetto giovane e non ancora maturo, ma in
Commenti
forte evoluzione
Soluzioni
Funzionalità
Analisi spaziali
Modellazioni
Beneficiario
Tecnologia
Ricercatori, pianificatori, protezione civile QGIS plugin
Ricercatori, pianificatori, protezione civile QGIS plugin
Comunità utenti
buona
Ricchezza
Ricchezza dati,
funzionalità
formati, ...
debole
buona
Ulteriori dettagli
(obbiettivi, vincoli,
esigenze)
Appropiratezza ai
requisiti
debole
Allegato 1
pag. 13/65
PublicData EU
Nome
iniziativa/progetto PublicData EU
URL
http://publicdata.eu/; http://ckan.org/
Prototipo di ricerca (finanziato dal progetto LOD2-FP7) che
implementa un catalogo pan-europeo e federato di dati.
PublicData.eu utilizza CKAN come backend per l'harvesting dei
metadati provenienti da 25 cataloghi di tutta Europa. Il portale è
in grado di includere direcotry di geodati come i registri nazionali
dell'inrastruttura INSPIRE. La raccolta dei dataset è automatica
utilizzando API, ove presenti, o lo screen-scraping nei restanti
casi.
Alcune funzionalità chiave sono: gestione multilingua dei
metadati; endpoint SPARQL (in aggiunta alle API CKAN) per
consentire un facile accesso al catalogo strutturato di metadati;
la categorizzazione si basa sulla normalizzazione tassonomica
di EUROVOC.
Tra le evoluzioni previste c'è l'implementazione del supporto
completo per thesauri SKOS-based.
Descrizione
Interna/Esterna
Esterna
Coinvolgimento
(se interna)
Tipologia
Portale per la condivisione ed il riuso di open data
Utenti
Commenti
Soluzioni
Funzionalità
Distribuzione
Download
Visualizzazione
Visualizzazione
altro
Upload
Beneficiario Tecnologia
Tutti
CKAN: harvesting
Tutti
Grafici di dati
tabellari
Tutti
Covering data
Tutti
preview
Strumenti di social
networking
Comunity
Databases e
Community filesystem
Ulteriori dettagli
esigenze)
Allegato 1
pag. 14/65
Informazioni
Descrizione
Benefi Ulteriori Tipo
generica del dato ciario dettagli dati
Finance and
Budgeting (436)
Social Questions
(226)
Volume Unità di misura
436 n di datasets
226 n di datasets
Environment (215)
Transportation
(196)
Education and
Commu... (188)
Agriculture,
Fisher... (176)
215 n di datasets
Population (145)
Economy and
Industry (114)
145 n di datasets
Comunità utenti
buona
196 n di datasets
188 n di datasets
176 n di datasets
114 n di datasets
Aggiorn Aggreg Proprietà
Formato amento azione del dato Policy
Open
dataset
data
Open
dataset
data
Open
dataset
data
Open
dataset
data
Open
dataset
data
Open
data
Open
dataset
data
Open
dataset
data
Ricchezza
Ricchezza dati,
funzionalità
formati, ...
buona
buona
Appropiratezza ai
requisiti
buona
Euro-GEOSS broker
Nome
iniziativa/progetto Euro-GEOSS broker
http://www.eurogeoss-broker.eu/;
http://www.eurogeoss.eu/broker/Pages/AbouttheEuroGEOSSBroker.aspx;
URL
http://essi-lab.eu/do/view/GIcat
EuroGEOSS adotta un modello basato sul Brokering per realizzare
l'interoperabilità multi-disciplinare e semplificare la condivisione e l'utilizzo
dei dati.
L'approccio basato sul Brokering non richiede ai fornitori di dati di adattarsi
ad un modello di interoperabilità specifico ma permette agli stessi di
utilizzare, per quanto possibile, i propri standard e strumenti software.
In EuroGEOSS l'intermediazione è implementata con un Broker per ogni
funzionalità principale: Discovery Broker, Access Broker, Semantic Broker.
Descrizione
L'implementazione del sitema di intermediazione utilizza la tecnologi GICat
Interna/Esterna
Esterna
Coinvolgimento
(se interna)
Tipologia
Framework di Brokering per le reti osservative
Utenti
Ricercatori
Commenti
Allegato 1
pag. 15/65
Soluzioni
Funzionalità
Brokering, WFS,
Ricercatori
WCS
Ricercatori
Brokering, WMS
Distribuzione
Visualizzazione
Comunità utenti
debole
Ulteriori dettagli
esigenze)
Ricchezza
Ricchezza dati,
funzionalità
formati, ...
buona
buona
Appropiratezza ai
requisiti
buona
ICAN
Nome
iniziativa/progetto ICAN (international coastal atlas network)
URL
http://ican.science.oregonstate.edu/; http://ican.science.oregonstate.edu/
amministrazioni per la condivisione di metodologie, esperienze e soluzioni
tecnologiche per la gestione, distribuzione e l'utilizzo di dati, informazioni e
conoscenza sulll'ambiente marino e costiero.
ICAN propone un approccio basato sull'utilizzo degli Atlante Costieri
(WebAtlas) come strumenti per divulgare la conoscenza ambientale (es. ai
cittadini e comunità locali), per supportare la ricerca scientifica, per il
supporto alle decisioni (es. policy maker) e per la pianificazione degli spazi
marini e costieri.
Oltre alla produzione di molteplici documenti (es. repor, articoli), la
comunità ICAN sta sviluppando un thesauro ambientale per l'erosione
costiera (ICAN Coastal Erosion) e un geo-portale prototipo per l'integrazione
e diffusione delle informazioni ambientali contenute nella rete degli atlanti
costieri. Il prototipo, nella sua versione attuale, è fortemte orientato
Descrizione
all'armonizzazione di dati ed informazione sull'erosione costiera.
Interna/Esterna
Esterna
Coinvolgimento
(se interna)
Tipologia
Community
Utenti
Ricercatori, pubbliche amministrazioni
Le descirizioni delle soluzioni e delle informazioni sull'iniziativa riguardano
sia la rete ICAN che il prototipo per l'erosione costiera
Commenti
Soluzioni
Funzionalità
altro (Thesauri Ontologie)
altro
(Documentazioni,
Manuali)
Distribuzione
Visualizzazione
Ricercatori,
Sviluppatori
Ricercatori,
Sviluppatori
Ricercatori,
pianificatori
Ricercatori,
pianificatori
Ulteriori dettagli
esigenze)
flash, cataloghi,
ontologie, thesauri
flash, WMS
Allegato 1
pag. 16/65
Informazioni
Descrizione
generica del dato
Dati erosine
costiera
Dati erosine
costiera
Beneficiario
Ricercatori,
pianificatori
Ricercatori,
pianificatori
Ulteriori
dettagli Tipo dati
Dati vettoriali
(shapefile, …)
Coverage, Dati
raster o immagini
Comunità utenti
media
Unità
Propri
di
Aggiorn Aggreg età del
Volume misura Formato amento azione dato
Policy
Ricchezza
Ricchezza dati,
funzionalità
formati, ...
debole
debole
Appropiratezza ai
requisiti
PPRD South Programme - GeoSDI
Nome
iniziativa/progetto PPRD South Programme - GeoSDI
URL
http://www.euromedcp.eu/; http://www.geosdi.org/
Programma finanziato dall'European Neighbourhood and Partnership
Instrument (ENPI).
Programma di cooperazione internazionale a supporto della attività
di Protezione Civile tra l'Unione Europea ed i paesi partner del
Mediterraneo e dei Balcani.
Il programma è di interesse per l'utilizzo della piattaforma GeoSDI GeoPlatform inizialmente sviluppata per la Protezione Civile Italiana
e finalizzata all'integrazione di informazioni geospaziali provenienti
Descrizione
da fonti differenti.
Interna/Esterna
Esterna
Coinvolgimento
(se interna)
Tipologia
Piattaforma GeoWeb / Open Source
Utenti
Protezioni civili europee e dei paesi partner
Commenti
Soluzioni
Funzionalità
Beneficiario
Tecnologia
WMS, WFS, Google
comunità Earth Builder
comunità
comunità WFS, WCS
comunità
Visualizzazione
Upload
Download
Distribuzione
Utenti
Utenti
Utenti
Utenti
Analisi spaziali
Analisi statistiche
Utenti comunità WPS
Utenti comunità API
Ulteriori dettagli
esigenze)
upload GeoTIFF, shp
es. Buffer, Centroide,
Intersezioni
Popolazione ISTAT
Allegato 1
pag. 17/65
Comunità utenti
debole
Ricchezza
Ricchezza dati,
funzionalità
formati, ...
buona
media
Appropiratezza ai
requisiti
Eye on Earth
Nome
iniziativa/progetto Eye on Earth
URL
http://www.eyeonearth.org/
Rete informativa pubblica e globale per la creazione e la
condivisione online di dati ed informazioni ambientali, corredata di
strumenti interattivi di web-mapping. Eye on Earth parte dal
presupposto che la trasparenza e la condivisione di informazioni
ambientali pertinenti e significative permettono di migliorare e di
accrescere la conoscenza collettiva sullo stato dell'ambiente. La
conoscenza porta ad una maggior consapevolezza delle
problematiche e quindi facilita il coinvolgimento attivo dei cittadini.
EoE è fomata da due componenti principali: i watches (Water
Watch, Air Watch, Noise Watch, Nature Watch); e Eye on Earth
Network. I Watches pubblicano i dati ambientali delle reti di
monitoraggio istituzionali e li integrano con i dati prodotti ed inseriti
dalle comunità locali e dai cittadini. Eye on Earth Network è invece
una piattaforma per lo sviluppo collaborativo di mappe ed
applicazioni per l'ambiente. La piattaforma utilizza la tecnologia dei
servizi di cloud computing di ArcGIS online (ESRI) e di Windows
Azure (Microsoft).
Descrizione
Interna/Esterna
Esterna
Coinvolgimento
(se interna)
Tipologia
Utenti
Commenti
Piattaforma cloud GeoWeb.
comunità scientifica, cittadini, associazioni naturalistiche
Soluzioni
Funzionalità
Upload
Visualizzazione
cittadino
cittadini,
comunità
scientifica
cittadini,
comunità
scientifica
Ulteriori dettagli (obbiettivi,
vincoli, esigenze)
Caricamento delle segnalazioni
sulla qualità ambientale di aria,
ArcGIS online acqua, rumore
Caricamento, pubblicazione e
condivisione di dati geospaziali
ArcGIS online ambientali.
ArcGIS
online,
Strumenti di webmapping e infovis
Microsoft
sulla qualità ambientale
Analisi di serie
temporali
cittadini,
comunità
scientifica
Combinazione di dati istituzionali e
dati da crowdsourcing e
generazioni di informazione di
sintesi sulla qualità ambientale
Upload
Allegato 1
pag. 18/65
Informazioni
Unità
Propri
di
Aggiorn Aggreg età del
Volume misura Formato amento azione dato Policy
Descrizione
generica del dato Beneficiario
Ulteriori dettagli
Qualità dell'aria
cittadini
Dati near real-time su tre principali
inquinanti atmosferici (NO2, O3,
PM10) a livello europeo. I dati
provengo dalla reti osservative
Osservazioni e
istituzionali (es. SINAnet per l'Italia) misure
ner realtime
cittadini
Dati near real-time sulla qualità
dell'acqua a livello europeo. I dati
provengo dalla reti osservative
Osservazioni e
istituzionali (es. SINAnet per l'Italia) misure
ner realtime
cittadini
Dati puntuali sulle fonti di emissione
di rumore monitorate dalla normativa
europea e una valutazione dell'EEA
per le sorgenti di rumore nelle
Osservazioni e
maggiori città europee.
misure
ner realtime
Informazioni geolocalizzate sulla
presenza di specie aliene invasive.
cittadini, comunità Dati raccolti in modalità
Presenza di specie scientifica,
crowdsourcing utilizzando interfaccie Osservazioni e
aliene invasive
associazioni
web o applicazioni smart phone.
misure
non
regolare
Qualità dell'acqua
Rumore
Dati ambientali
geospaziali
eterogenei
Tipo dati
Dati vettoriali
(shapefile, …),
Coverage, Dati
raster o immagini
cittadini, comunità
scientifica,
associazioni
non
regolare
Marineexplore
Nome
iniziativa/progetto
URL
Descrizione
Interna/Esterna
Coinvolgimento (se
interna)
Tipologia
Utenti
Marineexplore
http://marinexplore.org
Portale orientato al mondo marino/oceanografico. Contiene
funzionalità tipo community, con interazione tra utenti, possibilità di
postare articolie seguire utenti e ifromazioni. Richiede registrazione.
Ha un'ottima interfaccia di ricerca, visualizzazione e download di
dati; ricco di funzionalità anche avanzate.
esterna
portale
comunità marina/oceanografica, principalmente scientifica non non
esclusivamente
Allegato 1
pag. 19/65
Funzionalità
Download
Beneficiario
Tecnologia
anche
OpeNDAP
Upload
Visualizzazione
?
Visualizzazione di mappe di base, coverages, dati
puntuali, grafici
I dati possono essere esportati in vari formati
I grafici riassumono anche semplici statistiche dei dati
Trasformazione
Analisi
statistiche
Analisi di serie
temporali
La visualizzazione dei grafici agisce anche su serie
temporali. Anche la selezione del dato può tenere conto
dell'intervallo temporale.
La ricerca dei dati può essere filtrata per parametri, tipi di
strumenti, progetto, istituzione, tempo. Non ci sono
attualmente metadati standard, ma è prevista la
creazione di metdati ISO 19115 compliant
C'è la possibilità di visualizzare grafici interattivi su dati
o aree selezionate per vari parametri
Interrogazione
altro
Descrizione generica del Beneficiar Ulteriori
Tipo dati
dato
io
dettagli
Acidity, Air pressure, Air
I dati sono sia Dati vettoriali
pressure tendency, Air
da strumenti (shapefile, …)
temperature, Chlorophyll,
in situ, sia da Coverage,
Conductivity, Dewpoint
piattaforme
Dati raster o
temperature, Dominant
satellitari
immagini
period wave direction,
Osservazioni
Dominant wave period, Gust
e misure
direction, Gust speed,
Ontologie,
Lowest pressure in a hour,
thesauri,
Oxygen, Precipitation,
dizionari
Salinity, Solar radiation,
controllati,
Surface visibility,
tassonomie
Temperature, Turbidity, Water
column height, Water level,
Wave direction, Wave height,
Wave period, Wind direction,
Wind speed, Wind wave
height, Wind wave period
Soluzioni
Ulteriori dettagli (obbiettivi, vincoli, esigenze)
Il download è limitato inizialmente a 3 dataset al giorno e
a una finestra temporale di 7 giorni. I limiti possono
essere aumentati invitanto nuovi utenti a registrarsi al
sito.
E' possibile accedere a dataset già definiti usand
applicazioni OpeNDAP quali Ferret, GrADS, Matlab,
Python, R, IDV, ODVe vengono forniti tutorial ed esempi
Informazioni
Unità di
Formato
Aggiorna
misura
mento
Le statistiche varie
vari: csv per
del sito
I dati
dicono che
puntuali
sono presenti
36,952 In-Situ
Platforms,
1,579,342,636
Point
Measurement
s
Volume
Comunità utenti
media (circa 5600
utenti registrati)
Aggregazio
ne
I dati sono
organizzati
in qualche
forma di
database
Proprietà del dato
Policy
I dati sono raccolti da una serie di siti,
Le sorgenti
progetti e istituzioni e “semplicemente”
dati utilizzati
organizzati e resi disponibili all'interno di per popolare
Marineexplore.
Marineexploe
Questa la liste delle fonti:
sembrano
NOAA NDBC Buoys (and more); GTS
rilasciare I
Buoys; Rutgers Slocum Gliders; Liquid
dati in open
Robotics Wave Gliders; Argo Float
data o con
Program; JPL OurOcean GHRSST; NASA modalità
Aquarius; NOAA NCDC Sea Surface
comunque
Winds; NOAA CoastWatch Wind Diffusivity aperte.
(Ekman) Currents; NOAA
AOML/CoastWatch Geostrophic Currents;
NOAA NWS NCEP GEOWaFS
(WAVEWATCH III); UCAR Dai et al. 2009
River Discharge Data; Bermuda Atlantic
Time-Series Study; Baltic Operational
Oceanographic System; Meteorological
Aerodrome Report; NOAA Ocean Surface
Current Analyses – Real time; International
Comprehensive Ocean-Atmosphere Data
Set; Newport Hydrographic Line; SeaOS;
MyOcean; Ship Of Opportunity
Programme; ETOPO1 Global Relief
Bedrock Model; High Frequency Radar:
Water Currents; JASADCP: Joint Archives
of Acoustic Doppler Current Profiler
Ricchezza
Ricchezza dati,
funzionalità
formati, ...
Appropiratezza ai
requisiti
eccellente
buona
buona
Allegato 1
pag. 20/65
Allegato 2: Schede di soluzioni esistenti fuori
RITMARE censite dall'UO02 IREA
Allegato 1
pag. 21/65
a. EMIS-GMIS (JRC)
Allegato 1
pag. 22/65
Allegato 1
pag. 23/65
b. ARGOMARINE
Allegato 1
pag. 24/65
c. eMII - IMOS
Allegato 1
pag. 25/65
Soluzioni
Funzionalità
Visualizzazione
Download
Analisi spaziali
Interrogazione
Beneficiario
Utente
generico
Utente
generico
Utente
generico
Utente
generico
Tecnologia
Ulteriori dettagli
esigenze)
Servizi WMS
OPENDAP
Transect graphing
via OpenLayers
PstgreSQL
database +
Geonetwork
catalogue
Allegato 1
pag. 26/65
d. iMarine
Allegato 1
pag. 27/65
e. National Oceanographic Data Center - NOAA
Allegato 1
pag. 28/65
Informazioni
Descrizione generica
Ulteriori dettagli
del dato
Emergency
Published each year for the Atlantic hurricane season, the NOAA Extreme Weather
information (contacts) Information Sheets provide critical information for contacting government officials and
monitoring information resources.Contains valuable state and local emergency numbers,
NOAA websites, media outlets, and evacuation information for residents.
Tipo dati
Formato
Aggiornamento Aggregazione
Informazioni multimediali
pdf
(fotografie, video, audio, …)
Yearly
List of
documents
Sea temperature
Near real-time temperatures from NOAA's National Ocean Service (NOS) tidal stations
and Physical Oceanographic Real-Time System (PORTS®) and most recent (within the
past six hours) temperatures from NOAA's National Data Buoy Center (NDBC) moored
buoys.
Osservazioni e misure
ASCII
Continuous,
Monthly mean
Dataset
Air Temperature,
Winds, Mean Sea
Level Pressure, Sea
temperature,
Significant Wave
Height, Precipitation,
Accumulated and
actual, Current
Velocity
Provides access to real-time and recent weather, oceanographic, water-level and stream
gauge observations.
NetCDF
48 hours,
continuous
Dataset
Species habitats,
Habitat impact,
Bathymetry, Salinity,
Human impact data
NCDDC and National Marine Fisheries pilot projects for habitat monitoring and
Dati vettoriali (shapefile, …) shp, NetCDF Not regular
assessment.
This map combines fish habitat information with marine fishery species distribution for
analysis in the Gulf of Mexico. Scale dependent drawing is used extensively to control
visualization of human impact, physical oceanographic, baseline, and particularly habitat
type data. Species distributions are available based upon common name, category (such
as lifestage cycle i.e. adult or juvenile) or activity stage (commercial, recreational,
spawning) and/or time period of interest.
Dataset
Essential Fish Habitats (Coastal Migratory Pelagics, Coral, Red Drum,
Reef Fish, Shrimp, Spiny Lobster)
Habitat Impact Data (Oyster bars-reefs, Seagrasses)
National Wetlands Index
Bottom Sediments
Environmental Sensitivity
Physical Data (Bathymetry, Salinity)
Human Impact Data (Wrecks and Obstructions, Artificial Reefs, Oil and Gas Platforms,
Oil and Gas Pipelines, Shipping Fairways, Spoils)
Species habitats,
Habitat impact,
Bathymetry, Salinity,
Human impact data
Near-real-time shipboard measurements of bottom dissolved oxygen on anoxic and
hypoxic conditions in the western and north-central Gulf of Mexico
Dati vettoriali (shapefile, …) shp
Campaign, real
time
Dataset
ASCII
Not regular
Dataset
Coral reef area data
Single point of access to NOAA coral reef information and data products, especially those Osservazioni e misure
(images, observations) derived from NOAA's Coral Reef Conservation Program.
ASCII
Not regular
Dataset
Acidity, Meteorology The Pacific Islands Climate Change Virtual Library provides web accessible climate
data, Sea temperature, information and products such as adaptation guides, case studies, and decision support
Sea level,
tools relevant to Pacific Island coastal managers.
Precipitation
Climate variability
Habitat change
Ocean acidification
Ocean warming
Precipitation changes
Seal evel rise
pdf, html
Not regular
Dataset
Algal bloom
Integrated information system for managing HAB data, events, and effects
occurences (severity)
Informazioni testuali
Current data
Acoustic Doppler Current Profilers (ADCPs) are a common component within shipboard
instrumental packages onboard UNOLS, NOAA, and Navy fleets. During the late 1980s,
the data quality was limited by lack of continuous Global Positioning System (GPS)
coverage and uncertainties in the ship's heading information. By the mid 1990s, the
quality improved significantly due to the 24-hour GPS coverage, differential GPS
techniques, and the advent of GPS heading sensors. With reliable heading and navigation
data, absolute currents in the upper ocean are determined. The data provide fine
resolution in time (~5 minutes), depth (~10m), and horizontal distance (~2 km) throughout
the duration of a cruise.
ASCII,
NetCDF
Hourly averaged
Dataset
Sea temperature
profile, Sea salinity
profile
The Global Climate Observing System (GCOS) recognizes the Global Temperature and
Salinity Profile Programme (GTSPP) as one of the international operational activities that
provide essential, sub-surface climate variables of temperature and salinity profile data.
GTSPP provides timely and complete data with documented quality flags and implements
internationally agreed quality control and overall management of ocean data fully in
accordance with the GCOS action plan
ASCII,
NetCDF
Near real time
Dataset,
aggregated
dataset
Sea temperature
profile, pressure
Argo daily data include real-time and delayed-mode profiles of ocean temperature and
salinity measured by the Argo profiling floats.
ASCII,
NetCDF
Near real time
Dataset
Sea temperature
profile, pressure
Argo daily data include real-time and delayed-mode profiles of ocean temperature and
salinity measured by the Argo profiling floats.
ASCII,
NetCDF
Near real time
Dataset
Bathymetry, Sea
temperature,
temperature profiles,
Salinity profiles,
Meteorology data,
Plankton count,
Clorpophyll
concentration,
Nutrients
concentration
Provides access to global scientifically quality-controlled ocean profile and plankton data Osservazioni e misure
that includes measurements variables gathered since 1773.
Ocean Station Data
High Resolution CTD/XCTD
Bathythermograph
Profiling Floats
Drifting Buoys
Moored Buoys
Glider data
ASCII,
NetCDF
Not regular
Dataset
Allegato 1
pag. 29/65
Informazioni
Ulteriori dettagli
del dato
Salinity, Heat content Data distribution figures for temperature and salinity observations, temperature and
salinity anomaly fields for depths 0-2000m, heat content and steric sea level
(thermosteric, halosteric, total).
Tipo dati
Formato
Aggiornamento Aggregazione
ASCII,
NetCDF
Not regular
Dataset,
aggregated
dataset, time
series, graphs
Salinity distribution
and anomalies
Data distribution figures, salinity climatologies, and salinity anomaly fields associated with Osservazioni e misure
"Linear trends in salinity for the World Ocean 1955-1998" by Timothy P. Boyer, S. Levitus,
J.I. Antonov, R.A. Locarnini, and H.E. Garcia published in Geophysical Research Letters.
ASCII
Not regular
Dataset,
aggregated
dataset, time
series, graphs
Sea temperature
distribution and
anomalies
Data distribution figures, temperature anomaly fields, and heat content fields associated Osservazioni e misure
with "Warming of the World Ocean: 1955-2003, Levitus, Antonov, and Boyer" published in
Geophysical Research Letters.
ASCII
Not regular
Dataset,
aggregated
dataset, time
series, graphs
Sea surface
temperature (skin)
Extension of and improvement on the sea surface temperature (SST) fields from the older Coverage, Dati raster o
NOAA/NASA AVHRR Oceans Pathfinder project
immagini
NetCDF
Daily,
Dataset
reprocessing bias
Sea surface
temperature (skin)
Individual as well as multi-sensor blended SST products with high accuracy and fine
Coverage, Dati raster o
spatial resolution. NODC maintains the long term archive and works with the NASA
immagini
JPL/Caltech Physical Oceanography Distributed Active Archive Center (PO.DAAC) Global
Data Assembly Center (GDAC) to provide stewardship of these valuable data sets. NODC
also leads the reanalysis component of GHRSST, which coordinates international
individual and multi-sensor efforts to produce more accurate and consistent Level 2
(swath), Level 3 (gridded), and Level 4 (gap free, gridded) SST climate data record
analysis products for the global ocean. resolution 1km and up.
NetCDF
Daily,
Dataset,
reprocessing bias aggregated
dataset
Sea surface
topography/level
Altimeter data and products from the Geosat and Jason-2 Missions.
immagini
NetCDF
Daily,
Dataset,
dataset
Sea surface
The CoRTAD contains a collection of sea surface temperature (SST) and related thermal Coverage, Dati raster o
temperature, anomaly stress metrics, developed specifically for coral reef ecosystem applications but relevant immagini
to other ecosystems as well. The CoRTAD contains global, approximately 4 km resolution
SST data on a weekly time scale from 1982 through 2008 (Version 2). In addition to SST,
it contains SST anomaly (SSTA, weekly SST minus weekly climatological SST), thermal
stress anomaly (TSA, weekly SST minus the maximum weekly climatological SST),
SSTA Degree Heating Week (SSTA_DHW, sum of previous 12 weeks when SSTA is
greater than or equal to 1 degree C), SSTA Frequency (number of times over previous 52
weeks that SSTA is greater than or equal to 1 degree C), TSA DHW (TSA_DHW, also
known as a Degree Heating Week, sum of previous 12 weeks when TSA is greater than or
equal to 1 degree C),and TSA Frequency
HDF 4-5
Weekly
Dataset,
aggregated
dataset
Salinity, Sea
temperature,
Bathymetry, Wind
speed and direction,
Air temperature,
pressure and humidity
Standard suite of shipboard sensor data (also known as underway data) from each NOAA Osservazioni e misure
ship with the Scientific Computer System (SCS). These data include measurements of
salinity and temperature from thermosalinographs, bottom depth, wind speed and
direction, atmospheric temperature, pressure and humidity, position and date/time. The
NODC archives, quality-controls, and loads these data into the Shipboard Sensor
Database (SSD), which may be queried by date, position, and data type, and from which
data may be downloaded.
ASCII
Campaign
Dataset,
aggregated
dataset
Chlorophyll
concentration,
Turbidity
Overview of the NOAA archive services being provided for Level 2 (L2) ocean color
products generated by CoastWatch from SeaWiFS, MODIS and MERIS, which consists immagini
primarily of spatial information on chlorophyll-a concentration, as well as turbidity
(reflectance). The L2 ocean color products generated by CoastWatch from SeaWiFS,
MODIS and MERIS data consist primarily of spatial information on chlorophyll-a
concentration, as well as turbidity (reflectance), covering 13 CoastWatch regions globally.
Products derived from all three sensors have approximately 1 km-per-pixel resolution, and
will be delivered as both daily and 61-day composites.
HDF
Daily,
Dataset,
dataset
Wind, Waves,
Meteorology data
Official archive of historical wind, wave, and other marine data collected by the NOAA
National Data Buoy Center (NDBC). The data are collected from moored buoys and from
C-MAN (Coastal-Marine Automated Network) stations located on piers, offshore towers,
lighthouses, and beaches
F291,
NetCDF
Daily
Dataset,
aggregated
dataset
Sea level, Water
quality, Ocean
acidification
Educational curriculum materials that deliver scientific data and information into the
classroom. Current modules include Sea Level, El Nino, and Water Quality.
Text, ASCII,
(fotografie, video, audio, …) TIFF
Not regular
Dataset
Photos
jpg
Not regular
Images
Multimedia
Contains over 32,000 images & photos which capture the work, observations, and studies Informazioni multimediali
of NOAA employees.
CD-ROM and DVD data products currently available from the NODC
Atlas, Nautical charts, NOAA Central Library's (NCL) map collection contains cartographic material published by Coverage, Dati raster o
various
government agencies
immagini
Information
Free quarterly publication that reports on NOAA environmental data and information
programs, projects, and activities.
Posters, Flyers,
NODC Publications currently available from the NODC
Reports
CD-ROM,
DVD
jpg
Not regular
Dataset
Not regular
Images
pdf
Quarterly
Multimedia
pdf, html
Not regular
Multimedia
Allegato 1
pag. 30/65
f. Ocean Biogeographic Information System (OBIS)
Allegato 1
pag. 31/65
g. MarBEF
Allegato 1
pag. 32/65
Allegato 1
pag. 33/65
h. HALE-The HUMBOLDT Alignment Editor
Allegato 1
pag. 34/65
i. Gulf of Mexico Data Atlas - NOAA
Allegato 1
pag. 35/65
Informazioni
Descrizione
generica del
dato
Bathymetry
Ulteriori dettagli
Digital Elevation Model of the Gulf of Mexico, Integrating Bathymetric and Topographic Datasets.
Tipo dati
Formato
Aggiornamento
Aggregazione
Proprietà del dato
Coverage, Dati PNG,JPG,TIF Not regular
raster o
F, wms, wcs,
immagini
kml
No aggregation Copyright: National Geophysical Data
Center, NESDIS, NOAA, U.S. Department
of Commerce
raster o
F, wms, wcs,
immagini
kml
of Commerce
Dissolved
Oxygen
Climatological mean fields of dissolved oxygen for the winter season (January - March) on a one degree Coverage, Dati PNG,JPG,TIF Not regular
grid have been calculated. Dissolved oxygen concentration measured by chemical methods is often
raster o
F, wms, kml
analyzed following various modifications of the Winkler titration followed by end-detections by visual,
immagini
amperometric, or photometric methods. Measurements are in ml/l.
Scientifically quality-controlled historical in situ dissolved oxygen data in the World Ocean Database
2009 obtained by chemical methods were used to construct annual, seasonal, and monthly
climatological distribution fields of dissolved oxygen, apparent oxygen utilization (AOU), and dissolved
oxygen saturation at selected standard depth levels of the world ocean on a one-degree
latitude-longitude grid.
of Commerce
Hipoxia
frequency
Using a 10min x 10min grid, the lowest minimum values of dissolved oxygen are presented as well as
number of years. This analysis is based on the Southeast Area Monitoring and Assessment Program
(SEAMAP) summer groundfish surveys from 2001 through 2011. This grid only shows those cells
considered hypoxic (0 to 2.0 mg/l).
No aggregation Copyright: Nelson May, NOAA Fisheries
Service; Tiffany Toft, National Coastal
Data Development Center
Bottom
geology/type,
Seabed
sediments
This is a compilation of diverse data sets, describing the nature of seabed materials. The data is in the Coverage, Dati PNG,JPG,TIF Not regular
form of griddings, rendered as polygons:
raster o
F, wms, kml
• Dominant bottom type
immagini
• Mud content
• Sand content
• Gravel content
• Rock content
• Loose sediments type
No aggregation Copyright: Chris Jenkins, INSTAAR,
University of Colorado
Nutrients phosphate
Scientifically quality-controlled historical in situ phosphate data in the World Ocean Database 2009
obtained by chemical methods were used to construct annual, seasonal, and monthly climatological
raster o
F, wms, kml
distribution fields of phosphate at selected standard depth levels of the world ocean on a one-degree
immagini
latitude-longitude grid. Most of the historical data were collected over the continental shelf near shallow
intertidal areas (< 200 m depth).
No aggregation Copyright: National Oceanographic Data
Center, NOAA/NESDIS, Department of
Commerce
Nutrients nitrates
Scientifically quality-controlled historical in situ nitrates data in the World Ocean Database 2009
raster o
F, wms, kml
distribution fields nitrates at selected standard depth levels of the world ocean on a one-degree
immagini
Commerce
Nutrients silicate
Scientifically quality-controlled historical in situ silicate data in the World Ocean Database 2009
raster o
F, wms, kml
distribution fields of silicate at selected standard depth levels of the world ocean on a one-degree
immagini
Commerce
Winds
Gridded, high resolution ocean surface vector winds and wind stresses on a global 0.25 degree grid.
This is the seasonal spring average of wind speeds from 1990 to 2010. Spring covers the months of
raster o
F, wms, kml
March, April, and May. Summer, fall, and winter seasons are also available.
immagini
Blended vector sea surface winds (at 10-m above sea level) and surface windstresses (stresses felt by
the water). The wind speeds are blended from multiple satellites [up to six, including Scatterameters
(QuikSCAT), SSMIs, TMI and AMSR-E] observations, on a global 0.25-degree grid and time resolution
of 6-hourly, as four 'instantaneous' global snapshots per day at UTC/GMT 00, 06, 12 and 18Z. The
blended speeds are then decomposed into (u,v) components using the NCEP Re-analysis 2 (NRA-2)
wind directions interpolated onto the blended speed grid. The 6-hourly (u,v) instantaneous fields are
provided at our data site, and the speed itself can be simply computed as w=(u^2+v^2)^0.5, which is
exactly the blended speed from the multiple satellites. This analysis was done for the seasonal spring
average from 1990 to 2010.
No aggregation Copyright: National Climatic Data Center,
NESDIS, NOAA
Sea Skin
temperature
4 km NODC/RSMAS AVHRR Pathfinder Version 5 Annual Day-Night Sea Surface Temperature
Climatologies for 1982-2009 for the Gulf of Mexico.
No aggregation Copyright: Kenneth S. Casey, National
Oceanic and Atmospheric Administration
(NOAA) National Oceanographic Data
Center (NODC), and Edward J. Kearns,
Vicki Halliwell, and Robert Evans,
University of Miami, Rosenstiel School of
Marine and Atmospheric Science
(RSMAS)
Sea
temperature
Five year mean for fall, as estimated from MODIS/Aqua satellite imagery, for sea surface temperature Coverage, Dati PNG,JPG,TIF Not regular
in northern Gulf of Mexico. MODIS-Aqua satellite imagery from January 2005 - December 2009 was
raster o
F, wms, wcs,
used to calculate sea-surface temperatures using standard NASA processing algorithms. In situ data
immagini
kml
from the Southeast Area Monitoring and Assessment Program (SEAMAP) program were overlaid on the
modeled data. Both the satellite data and the SEAMAP data were then reclassified into Coastal and
Marine Ecological Classification Standard (CMECS) Water Column component categories. The CMECS
is a catalog of terms that provides a means for classifying ecological units using a simple, standard
format and common terminology. CMECS offers a way to organize and interpret data about the marine
environment, and it provides a common platform for inter-relating data.
No aggregation Copyright: Rebecca Allee, NOAA Gulf
Coastal Services Center; Mark Finkbeiner,
NOAA Coastal Services Center; Richard
Gould Jr., Naval Research Laboratory;
Dong-Shan Ko, Naval Research
Laboratory; David Lary, University of
Texas; Janis Kurtz, EPA Gulf Breeze
Laboratory; Christopher Madden, South
Florida Water Management District;
Kathleen Goodin, NatureServe
Sea
temperature
change
Five year mean for fall, as derived from reanalysis of the Naval Research Laboratory, Stennis Space
Center (NRL/SSC) Intra-Americas Sea Ocean Nowcast/Forecast System (IASNFS), of temperature
raster o
F, wms, wcs,
differences (temperature at the surface and at bottom layer or to 100 meters depth) in northern Gulf of immagini
kml
Mexico. In situ data from the Southeast Area Monitoring and Assessment Program (SEAMAP) program
were overlaid on the modeled data. Both the modeled data and the SEAMAP data were then reclassified
into Coastal and Marine Ecological Classification Standard (CMECS) categories. The CMECS is a
catalog of terms that provides a means for classifying ecological units using a simple, standard format
and common terminology. CMECS offers a way to organize and interpret data about the marine
Salinity
Climatological mean fields of seawater salinity for the winter season (January - March) on a 1/4 degree
grid have been calculated. At 10 meters depth, salinity shows the changing seasonal effect of the
movement of waters from the Mississippi Outflow and other coastal waters.
Commerce
Salinity
Five year mean for fall, as estimated from MODIS/Aqua satellite imagery, for sea-surface salinity in
northern Gulf of Mexico. The ocean color imagery from the MODIS-Aqua satellite from January 2005 - raster o
F, wms, wcs,
December 2009 was used to estimate sea-surface salinity. This is based on the empirical relationship immagini
kml
between color dissolved organic matter (CDOM) absorption and salinity. In situ data from the Southeast
Area Monitoring and Assessment Program (SEAMAP) program were overlaid on the modeled data. Both
the satellite data and the SEAMAP data were then reclassified into Coastal and Marine Ecological
Classification Standard (CMECS) Water Column component categories. The CMECS is a catalog of
terms that provides a means for classifying ecological units using a simple, standard format and
common terminology. CMECS offers a way to organize and interpret data about the marine
Elevation and Digital Elevation Model along the Gulf of Mexico, Integrating Bathymetric and Topographic Datasets.
Bathymetry
raster o
F, wms, kml
immagini
raster o
F, wms, kml
immagini
Osservazioni e wms, kml
misure
Not regular
Allegato 1
pag. 36/65
Informazioni
Descrizione
generica del
dato
Ulteriori dettagli
Tipo dati
Formato
Aggiornamento
Aggregazione
Proprietà del dato
Salinity
Average annual salinity broken into 3 zones for the Gulf of Mexico. The salinity zones are: - Tidal Fresh Coverage, Dati PNG,JPG,TIF Not regular
(0 - 0.5 parts per thousand) - Mixing (0.5 - 25 parts per thousand) - Seawater Zone (25 parts per
raster o
F, wms, kml
thousand or greater).
immagini
No aggregation
Copyright: National Ocean Services,
Special Projects Office, NOAA
Sea
temperature
Climatological mean fields of seawater temperature for the winter season (October - December) on a 1/4 Osservazioni e PNG,JPG,TIF Not regular
degree grid have been calculated. At 10 meters depth, temperatures show the effects of surface forcing, misure
F, wms, kml
mainly from the annual cycle of solar radiation. Our main source of subsurface temperature information
is in situ measurements obtained from instruments carried aboard oceanographic research and
merchant ships. Measurements are in celsius.
No aggregation
Copyright: National Oceanographic Data
Commerce
raster o
F, wms, kml
immagini
No aggregation
Copyright: Department of Commerce
(DOC),National Oceanic and Atmospheric
Administration (NOAA), National Ocean
Service (NOS), Coastal Services Center
(CSC)
Chloropyll,
productivity
Five year mean for fall, as estimated from satellite imagery, of chlorophyll in northern Gulf of Mexico.
Processed MODIS-Aqua satellite imagery from January 2005 - December 2009 were used to derive
raster o
F, wms, wcs,
chlorophyll concentrations using the OC3 algorithm. In situ data from the Southeast Area Monitoring and immagini
kml
Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the satellite data
and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification
Standard (CMECS) Water Column component categories. The CMECS is a catalog of terms that
provides a means for classifying ecological units using a simple, standard format and common
terminology. CMECS offers a way to organize and interpret data about the marine environment, and it
provides a common platform for inter-relating data.
No aggregation
Copyright: Rebecca Allee, NOAA Gulf
Coral
• Chemosynthetic sites are points showing the approximate location of chemosynthetic communities in Osservazioni e PNG,JPG,TIF Not regular
the Gulf of Mexico. This data does not identify all the chemosynthetic communities in the Gulf of
misure
F, wms, kml
Mexico. It identifies communities that have been verified to exist. The data represents a point in the gulf
whereas a chemosynthetic community inherently will actually dwell in an area.
• Deep sea coral: Structure-forming corals have an upright orientation and a rigid, complex branching
structure of calcium carbonate or horn-like protein. The group includes black corals (Antipatharia), stony
corals (Scleractinia), sea fans (Gorgonacea, aka gorgonians), and lace corals (Stylasterina), among
others.
No aggregation
Copyright: Bureau of Ocean Energy
Management, Gulf of Mexico OCS Region;
National Centers for Coastal Ocean
Science (NCCOS), NOS, NOAA,
Department of Commerce
Coastal area • Land cover analysis of Landsat imagery taken in 2006 for coastal areas of Texas, Louisiana,
land cover
Mississippi, Alabama, and Florida.
• The core area of the Grand Bay National Estuarine Research Reserve (NERR) consists of
approximately 12,800 acres of estuarine tidal marsh, tidal creeks or bayous; shallow, open-water
habitats; oyster reefs; seagrass beds; maritime forests; salt flats; sandy beaches; and shell middens.
• Mangrove communities for Florida, Texas, and Mexico. Includes four species - red mangrove, brown
mangrove, white mangrove, and buttonwood. Distribution based on 2000-2005 analysis.
Phytoplankto The Phytoplankton Monitoring Network (PMN) was established as an outreach program for monitoring
n
marine phytoplankton and harmful algal blooms (HABs). In the Gulf of Mexico, HAB blooms observed
by the network include Alexandrium monilatum, Dinophysis ovum, Karlodinium micrum, Prorocentrum
minimum, Pseudo-nitzschia pseudodelicatissima, Pseudo-nitzschia multiseries, and Pseudo-nitzschia
pungens.
Osservazioni e PNG,JPG,TIF Not regular
misure
F, wms, wcs,
kml
No aggregation
Copyright: Steve Morton, Marine Biotoxins
Program, National Ocean Service, NOAA
Submerged
vegetation
raster o
F, wms, kml
immagini
No aggregation
Copyright: USGS National Wetlands
Research Center, Southwest Florida Water
Management District, Texas Parks and
Wildlife Department, Coastal Conservation
Branch
misure
F, wms, kml
Dataset
Copyright: National Marine Fisheries
Service; Gulf States Marine Fisheries
Commission
Essential Fish Habitats (EFH) are defined in the Magnuson-Stevens Act as "...those waters and
substrate necessary to fish for spawning, breeding, feeding, or growth to maturity." The rules
raster o
F, wms, kml
promulgated by the NMFS in 1997 and 2002 further clarify EFH with the following definitions: waters immagini
aquatic areas and their associated physical, chemical, and biological properties that are used by fish
and may include aquatic areas historically used by fish where appropriate; substrate - sediment, hard
bottom, structures underlying the waters, and associated biological communities; necessary - the
habitat required to support a sustainable fishery and the managed species' contribution to a healthy
ecosystem; and spawning, breeding, feeding, or growth to maturity - stages representing a species' full
life cycle. The area defined includes Gulf of Mexico waters and substrates extending from the
US/Mexico border to the boundary between the areas covered by the Gulf of Mexico Fishery
Management Council and the South Atlantic Fishery Management Council from estuarine waters out to
depths of 100 fathoms.
Dataset
Copyright: NOAA Fisheries Service,
Southeast Regional Office
misure
F, wms, kml
Dataset
Copyright: National Marine Fisheries
Service; Gulf States Marine Fisheries
Commission
Economic
activities,
onshore and
offshore
• Shipping and Navigation: Map depicting the shipping fairways, submarine cables, and wrecks and
obstructions for the Gulf of Mexico.
misure
F, wms, kml
• Oil and Gas Structures: Location of drilling platforms in the Gulf of Mexico as of July 2011.
• Oil and Gas Pipelines: Pipelines in the Gulf of Mexico which include oil, gas and H2S (oil and gas).
This includes proposed, active, and out of service as of July 2011.
• Borrow Sites: Coastal restoration, beach nourishment, and levee reconstruction are crucial to mitigate
future coastal erosion, land loss, flooding, and storm damage in the Gulf of Mexico. The success of that
long-term effort depends on locating and securing significant quantities of OCS sediment resources that
are compatible with the target environments being restored. Offshore sand resources, like upland
sources, are extremely scarce where most needed. Additionally, vast areas of these relatively small
offshore sand resources are not extractable because of the presence of oil and gas infrastructure,
archaeologically sensitive areas, and biologically sensitive areas.
Dataset
Copyright: NOAA's Coastal Services
Center, NOAA's Office of Coast Survey;
Bureau of Ocean Energy Management,
Department of the Interior; Gulf of Mexico
OCS Region
Demographic
s
Discharges,
Incidents
This web map illustrates the population density in the United States in 2010. Population density is the
number of people per square mile.
Results of sediment and bivalve tissue chemistry analysis for Polynuclear Aromatic Hydrocarbons
(PAH) between the years of 1999 and 2009. This data is from the Mussel Watch Program that monitors
U.S. estuarine and coastal waters for organic contaminants and trace metals since 1986. Mussel Watch
supports NOAA ecosystem-based management through an integrated program of environmental
monitoring, assessment, and research to describe the current status of pollution and to detect changes
in the environmental quality of our nation's estuarine and coastal waters.
Location of oil spills from 2000 to 2010 for which NOAA's Office of Response and Restoration provided
scientific support for the response. Data are from IncidentNews, and broken into maximum spill release
in gallons categories of 0, minor (<10,000 gallons), medium (10,000 - 100,000 gallons), and major
(>100,000 gallons).
Dati vettoriali PNG,JPG,TIF Not regular
(shapefile, …) F, wms, kml
misure
F, wms, kml
No aggregation
No aggregation
Copyright: Center for Coastal Monitoring
and Assessment, National Centers for
Coastal Ocean Science , National Ocean
Service, NOAA; Emergency Response
Division, Office of Response and
Restoration, National Ocean Service,
NOAA
Euphotic
depth,
Five year mean for fall, as estimated from MODIS/Aqua satellite imagery, for euphotic depth in northern Coverage, Dati PNG,JPG,TIF Not regular
Gulf of Mexico. MODIS-Aqua satellite data from January 2005 - December 2009 was processed to
raster o
F, wms, wcs,
calculate euphotic depth. This is based on first estimating the absorption and backscattering
immagini
kml
coefficients of the water from the satellite remote sensing reflectance values and then using those
coefficients to estimate the euphotic depth. In situ data from the Southeast Area Monitoring and
Assessment Program (SEAMAP) program were overlaid on the modeled data. Both the satellite data
and the SEAMAP data were then reclassified into Coastal and Marine Ecological Classification
Standard (CMECS) Water Column component categories. The CMECS is a catalog of terms that
provides a means for classifying ecological units using a simple, standard format and common
terminology. CMECS offers a way to organize and interpret data about the marine environment, and it
provides a common platform for inter-relating data.
No aggregation
Copyright: Rebecca Allee, NOAA Gulf
Phosphorus, Estimated nitrogen delivered to the estuaries along the Gulf of Mexico (U.S. only). Delivered yield is an Coverage, Dati PNG,JPG,TIF Not regular
nitrogen
estimate of the amount of nitrogen delivered to an estuary divided by the area of the upstream drainage raster o
F, wms, kml
area that drains into the estuary. This is a statistical model that integrates monitoring data with
immagini
landscape information. Units are kg/km2/year.
No aggregation
Copyright: US Dept of the Interior/USGS
National Water-Quality Assessment
Boundaries - Several authoritative marine boundary layers (contiguous zone, exclusive economic zone, revenue
Political and sharing boundary, state seaward boundary, territorial sea) have been combined at a national scale and
Georegulatory standardized based on existing FGDC and OGC data standards.
Dati vettoriali PNG,JPG,TIF Not regular
No aggregation
Copyright: Department of Commerce
(DOC), National Oceanic and Atmospheric
Administration (NOAA), Coastal Services
Center
Federal protected areas in the United States are lands and waters owned and/or managed by the federal Dati vettoriali PNG,JPG,TIF Not regular
government to preserve or enhance natural, historical, cultural, wildlife, and aesthetic values and
resources. Federal areas in the Gulf of Mexico include wildlife refuges managed by the US Fish and
Wildlife Service; components of the US National Park Service such as monuments, memorials, parks,
preserves, and seashores; forest lands managed by the US Forest Service; estuarine reserves
managed by states funded by the National Oceanic and Atmospheric Administration; and marine
sanctuaries managed by the National Oceanic and Atmospheric Administration.
No aggregation
Copyright: USDA Forest Service, National
Park Service (NPS), National Oceanic and
Atmospheric Administration (NOAA), U.S.
Fish and Wildlife Service
Seagrass habitats for the Gulf of Mexico. Seagrasses provide nursery areas, spawning areas, and
foraging habitats for fish, fowl, and reptiles.
Fish
Relative abundance of some fish species (including shaks observations) taken during the Southeast
communities Area Monitoring and Assessment Program (SEAMAP) fishery-independent Summer and Fall
Shrimp/Groundfish Surveys from 1987 to 2009.
Species
habitats
Invertebrates Relative abundance of invertebrate species taken during the Southeast Area Monitoring and
communities Assessment Program (SEAMAP) fishery-independent Summer and Fall Shrimp/Groundfish Surveys
from 1987 to 2009.
Protected
areas
Allegato 1
pag. 37/65
j. Virtual Ocean
Nome
iniziativa/progetto
URL
Descrizione
Virtual Ocean
http://www.virtualocean.org/
It is a virtual globe integrating the GeoMapApp tool suite with the NASA
World Wind 3-D earth browser to create a powerful new platform for
interdisciplinary research and education. It is the desktop client to the
datasets belonging to the Marine Geoscience Data System (GMDS). GMDS
is a multidisciplinary data repository, part of the community-based
data-facility IEDA (Integrated Earth Data Applications) of the US National
Science Foundation (NSF). GMDS provides access to data portals for the
NSF-supported Ridge 2000 and MARGINS, and GeoPRISMS programs, the
Antarctic and Southern Ocean Data Synthesis, and the Academic Seismic
Portal. These portals provide free public access to a wide variety of marine
geoscience data collected throughout the global ocean. Several MGDS data
sets are accessible in Virtual Ocean through live OGC-standard Web
services. Options are also provided for users to import their own data sets
Interna/Esterna
Esterna
Coinvolgimento (se
interna)
Tipologia
Appicativo desktop in multipiattaforma (JAVA)
Funzionalità Beneficiario Tecnologia
Discovery
Ricercatori, GeoMapApp
professori e
studenti,
cittadino in
genere
Visualizzazio Ricercatori, GeoMapApp
ne
professori e + NASA
studenti,
World Wind
cittadino in
genere
Vestizione
Ricercatori,
professori e
studenti
Gestione
tabella
Ricercatori,
professori e
studenti
Ricercatori,
professori e
studenti
Ricercatori,
professori e
studenti,
cittadini in
genere
Plotting
Download
(selezione e
download)
Soluzioni
Ulteriori dettagli (obbiettivi, vincoli, esigenze)
Utilizzo di menu a tendina (anche tear off) per scegliere
fra le categorie di data sets disponibili e visualizzare i
bounding box dei singoli datasets
Basi di dati proposte già aggregate, possibilità di
scegliere anche macro-aree geografiche. Visualizzazione
della tabella degli attributi associate al layer selezionato,
link risorsa e/o al metadato. Estrusione sopra o sotto la
superficie dei punti quotati, in modo che un segment
evidenzi la loro distanza dal livello della superficie
stessa.
GeoMapApp Modifica vestizione dei layer interattiva su attributo
+ NASA
selezionato, tramite istogramma delle frequenze
World Wind cambiamento scala colore e dimensioni dei simboli con
aggiornamento immediato.
GeoMapApp Possibilità di modificare gli attributi presenti in tabella del
+ NASA
layer attivo.
World Wind
GeoMapApp Possibilità di creare scatter plot fra coppie di attributi
+ NASA
presenti nella tabella del layer analizzato, zoomare in
World Wind particolari parti
GeoMapApp È possibile salvare il dato tabellare in vari formati di testo
+ NASA
sul proprio computer. È possibile fare una selezione con
World Wind uno strumento lasso prima di eseguire il download.
Allegato 1
pag. 38/65
Informazioni
del dato
Atmosphere and
precipitation
Beneficiario Ulteriori dettagli
tutti
Global network of isotope in
precipitation
Volu Unità di Form Aggiorna Aggregazi
Tipo dati
me misura ato mento
one
Proprietà del dato Policy
osservazioni
Medie su IAEA
aperto
lungo
termine
Deep Submergence Dive tutti
Locations
Earthquakes and Plate tutti
Boundaries
Dive locations
Earthquakes locations
osservazioni
Earthquakes and Plate
Boundaries
Boundaries
Boundaries
Boundaries
Heatflow Measurements
tutti
Plate boundaries
osservazioni
tutti
Global Seismic events
osservazioni
tutti
EarthScope Station Locations
tutti
Earthquake Hazards Program
ShakeMaps
Global Heat Flow Data
ricercatori,
education
Heatflow Measurements ricercatori,
education
aperto
stazioni
Near-real-ti Per
USGS
me
intervallic
di
magnitudo
University of
California
Near-real-ti
Princeton University
me
US gov
osservazioni
2010-2013
aperto
osservazioni
Continental Heat Flow (Pollack et osservazioni
al, 1991)
education
Hurricane Tracks
tutti
Ocean Crust and
ricercatori,
Sediment Acoustic
education
Velocities
Oceanic Hydrothermal
ricercatori,
Vents
education
ricercatori,
Vents
education
ricercatori,
Vents
education
ricercatori,
Vents
education
ricercatori,
Vents
education
Ocean Weather Today
(Waves, Air Pressure,
Temperature)
tutti
Ocean NRL-HYCOM
Nowcast (Temperature,
Salinity, Height and
Currents)
tutti
Modern Temperature and ricercatori,
Vegetation
education
Reconstructions
Modern Temperature and ricercatori,
Vegetation
education
Reconstructions
Late Glacial Temperature ricercatori,
and Vegetation
education
Reconstructions
Heatflow and Thermal Gradients
at Ocean Floor Drillsites
Hurricane Data
Sediment and Crustal Velocities
from Sonobuoy Solutions Diebold
Global Vent Distribution InterRidge
East Pacific Rise Spreading
Center at 9 50'N
Lau Basin
osservazioni
Endeavor Segment - Juan de
Fuca Ridge Spreading Center
Mid-Atlantic Ridge
osservazioni
Late Glacial Temperature ricercatori,
and Vegetation
education
Reconstructions
ricercatori,
Seabed Sediment Color education
ricercatori,
education
Seabed Sediment Color
ricercatori,
Seabed Sediment Color education
ricercatori,
Seafloor Photos
education
The International
Heat Flow
Commission
The International
Heat Flow
Commission
1851-2008
1996
compilation
osservazioni
non
regolare
non
regolare
non
regolare
non
regolare
non
regolare
osservazioni
osservazioni
Marine Geo
aperto
aperto
aperto
aperto
aperto
aperto
aperto
aperto
aperto
ridireziona a
portale
nrlssc.navy
Modern and Late Glacial Sea
Surface Temperatures for Winter
and Summer - CLIMAP
simulazioni
Modern and Late Glacial Sea
Surface Temperatures for Winter
and Summer - CLIMAP
simulazioni
different sources
aperto
aperto
ridireziona a
portale
oceanweather
Late Glacial Maximum (18ka)
Reconstructions of Soils,
Vegetation, Ice Cover - climap
simulazioni
DIRTMAP Version 2 - Eolian
Fluxes from Ice, Sediments and
Terrestrial Deposits
simulazioni
Data Table: Seabed Natural Color
from dbSEABED Database
osservazioni
Seabed Natural Color from Core
Tops of LDEO Deep-Sea Sample
Repository
osservazioni
Seabed Natural Color from USGS
East-Coast Sediment Database osservazioni
aperto
aperto
osservazioni
osservazioni
osservazioni
aperto
Abbott Compilation aperto
Oceanic Heat Flow (Pollack et al, osservazioni
1991)
education
USGS
aperto
aperto
aperto
credits
http://d
oi.pang
aea.de/
10.1594
/PANG
AEA.55
158?
format=
html
aperto
IAEA
(in
progress)
aperto
IAEA
aperto
USGS
aperto
stazioni
Allegato 1
pag. 39/65
Allegato 3: Il caso
Infrastructure (eMII)
eMarine
Information
Marine data and information are the main products of IMOS, and data
management is therefore a central element to the project's success. eMII
(http://imos.aodn.org.au/imos/) provides a single integrative framework for data and
information management that allows discovery and access of the data by scientists,
managers and the public. The IMOS Ocean Portal is an opensource project based
on
AODN
initiatives
and
is
available
on
GitHub
repository
(https://github.com/aodn/aodn-portal). The AODN Portal web application is built
largely on Grails and ExtJS. Grails is an opensource framework for web
development using Groovy. We chose Grails as our core framework because we
need to rapidly respond to changing user requirements and feature requests. Grails
is one of the modern frameworks that allow the rapid development of web
applications using approaches such as “convention over configuration”. This
approach allows Grails (rather than the developer) to manage the configuration of
the underlying components. Grails is built on reliable Java technologies such as
Spring (for controller logic, run-time configuration, transactions etc) and Hibernate
(for object-relational mapping) - all of which are managed by the Grails framework.
Groovy (the programming language used by Grails) works with existing Java
libraries. For this reason, it fits well with the eMII environment, which includes many
Java based applications. Grails uses the popular MVC (Model, View, Controller)
design pattern, and encourages the separation of business logic into service
classes. The portal's administrator interface is built with straight Grails. The
client-side user interface is built using ExtJS, which is an opensource JavaScript
library. The map functionality is implemented using OpenLayers, which is an
opensource JavaScript library for displaying interactive maps.
The portal application is backed by a PostgreSQL database, and uses the Grails
Object Relational Mapping (GORM) implementation to persist the domain objects.
The search functionality, however, is delivered by GeoNetwork, which is a Java
based metadata catalog for geospatial data. eMII is an active member of the
GeoNetwork opensource community. The spatial search aspect of the portal's
broader search capability has been further enhanced by a custom (Grails based)
spatial search index that sits in-between the portal and the catalog. This was
developed to ensure that search results from spatial queries not only overlap the
bounding box supplied by the user, but that spatial features actually exist in the
requested region.
Authentication is implemented using OpenID, which is an open standard that
allows users to consolidate their digital identities. OpenID is provided by many large
web sites including Google. There is an IMOS OpenID provider. The solution allows
portal users to access the help forum (and potentially other IMOS web apps) using a
single IMOS (or other OpenID) identifier. Authorisation (ie. access to features once
logged in) within the portal is implemented with Apache Shiro (using a Grails plugin).
The help forum is based on Drupal, which is a popular content management
system.
Allegato 1
pag. 40/65
Unit testing and integration testing of the Grails components is implemented using
the Grails unit testing framework (which uses the popular Java unit testing
framework jUnit). The JavaScript is tested using Jasmin. Continuous integration is
configured with Jenkins.
There are separate instances of the portal application for IMOS, the AODN and
state regional views. The separate instances have been re-skinned and configured
to point to the appropriate GeoNetwork and WMS servers. All instances run on
Apache Tomcat under CentOS.
Map layers are delivered via servers supporting the OGC WMS standard. The
metadata records that describe the IMOS data conform to the ISO19115 Marine
Community Profile. The IMOS data is largely stored as NetCDF files. The netCDF
files are served by THREDDS.
Figura 1-1 Architettura schematica dell’infrastruttura di eMII
IMOS Data Licensing
Allegato 1
pag. 41/65
IMOS data is licensed under a Creative Commons Attribution 2.5 Australia
Licence. Any users of IMOS data are required to clearly acknowledge the source of
the material in the format: "Data was sourced from the Integrated Marine Observing
System (IMOS) - IMOS is supported by the Australian Government through the
National Collaborative Research Infrastructure Strategy and the Super Science
Initiative." If relevant, also credit other organisations involved in collection of the
particular datastream (as listed in 'credit' in the metadata record).
Riferimenti - Contatti:
General Enquiries/Helpdesk
+61 (03) 6226 7488 T
+61 (03) 6226 8575 F
email: [email protected]
Director: Dr Roger Proctor
University of Tasmania (Private Bag 21; Hobart TAS 7001)
+61 (03) 6226 1977 T
+61 (03) 6226 8575 F
email: [email protected]
Descrizione della soluzione: DATA
IMOS Facilities, operated by ten different institutions within the National Innovation
System, are funded to deploy equipment and deliver data streams for use by the
entire Australian marine and climate science community and its international
collaborators. They provide the data included in the catalogues of eMII, under
different streams, listed here:
1. Array for Real-time Geostrophic Oceanography (ARGO)
2. Ships Of Opportunity (SOOP)
3. Southern Ocean Time Series (SOTS)
4. Australian National Facility for Gliders (ANFOG)
5. Autonomous Underwater Vehicle (AUV)
6. Australian National Mooring Network (ANMN)
7. Australian Coastal Ocean Radar Network (ACORN)
8. Australian Acoustic Tagging and Monitoring System (AATAMS).
9. Facility for Automated Intelligent Monitoring of Marine Systems (FAIMMS)
10. Satellite Remote Sensing (SRS)
Allegato 1
pag. 42/65
Tabella 2-2 descrizione dettagliata delle categorie informative
Information
category
Observations/Measur
es (ARGO)
Observations/Measur
es (ARGO)
Observations/Measur
es (ARGO)
Observations/Measur
es (SOOP)
X Detailed
description
Extended
description
This dataset contains temperature data of the
Argo Australia floats, an array of profiling floats that
measure temperature and salinity down to 2000 m
every 10 days in real time.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
dataset, aggregated dataset, graphs
Data
Sea Temperature - Vertical temperature profiles
content/parameters
Updating
10 days, real time updating
frequency
Data policy
Creative Commons Lic (CC BY 2.5 AU)
Extended
This dataset contains salinity data of the Argo
description
Australia floats, an array of profiling floats that
measure temperature and salinity down to 2000 m
every 10 days in real time.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Sea Salinity
content/parameters
Updating
frequency
Data policy
Extended
This dataset contains dissolved oxygen data of a
description
subset of the Argo Australia floats, an array of
profiling floats that measure temperature and
salinity down to 2000 m every 10 days in real time.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Dissolved Oxygen
content/parameters
Updating
frequency
Data policy
Extended
Enhancement of Measurements on Ships of
description
Opportunity (SOOP)-Sea Surface Temperature
(SST) aims to supply near real-time SST data
(within 24 hours) from SOOPs and research
vessels in the Australian region.
The data files contain SST underway
observations from an SBE 38 sensor installed in a
seawater intake collected on trips of a French
research and Antarctic resupply vessel participating
in the Australian Volunteer Observing Fleet (RV
L'Astrolabe - FHZI) between Hobart (Tasmania) and
Dumont D'Urville (Antarctica). The voyages take
place during the Austral summer. The data are
instantaneous hourly measurements. The data
Allegato 1
pag. 43/65
have been quality controlled by the Bureau of
Meteorology.
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
dataset, time series
Data
Sea Temperature - Surface temperature
content/parameters
Updating
Campaign
frequency
Data policy
Extended
This dataset contains temperature data obtained
description
from XBTs (expendable bathythermographs)
deployed by vessels during different cruises
between Mauritius, Fremantle (Australia) and
Melbourne (Australia).
Expendable Bathythermographs (XBTs) have
been used for many years by oceanographers to
measure the temperature of the upper ocean.
These instruments are simple devices which are
designed to be deployed from moving vessels,
enabling broad scale coverage of the world's
oceans.
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
dataset, aggregated datasets
Data
content/parameters
Updating
Campaign
frequency
Data policy
Extended
This data set was collected by the SOOP
description
sub-facility 'Sensors on Tropical Research Vessels'
aboard the RV Cape Ferguson and RV Solander
trips
Deployment Information for Salinity at 1.9m
measured by SBE 21 conductivity cell. The unit of
salinity is PSU, which is dimensionless. The units
attribute should be given as 1e-3 or 0.001 i.e. parts
per thousand if salinity is in PSU.
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
dataset
Data
Sea Conductivity/Salinity
content/parameters
Updating
Campaign
frequency
Data policy
Extended
This dataset contains environmental observations
description
as well as ship parameters (such as speed and
direction). Enhancement of Measurements on Ships
of Opportunity (SOOP)- Air Sea Flux (ASF) R.V.
Southern Surveyor and RV Aurora Australis collect
Allegato 1
pag. 44/65
underway meteorological and oceanographic
observations during scientific voyages in the
oceans adjacent to Australia.
Data streams are fed into the existing ship data
management system, and broadcast via satellite
back to Australia 3-hourly. The observations are
quality controlled at the Bureau of Meteorology and
air-sea fluxes calculated using the COARE Bulk
Flux algorithm. A daily file of 1-minute averages of
the observations are generated shortly after
0000UTC and provided.
The data is contained in NetCDF format files and
consists of environmental observations as well as
ship parameters (such as speed and direction).
Wind is observed with two different sensors, and
the relative (observed) and true (relative to fixed
earth) wind speed and direction provided. Air
temperature and humidity is observed on the port
and starboard of the main mast. Short-wave
(sunlight) and long-wave (infra-red radiation or heat,
from sky and clouds) is observed on the port and
starboard side of the monkey island (above the
bridge). Precipitation is observed with an optical
rain-gauge and traditional siphon gauge from the
foremast.
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
dataset
Data
Meteorology
content/parameters
Updating
Campaign
frequency
Data policy
Extended
This data was collected by the IMOS Ship of
description
Opportunity Underway CO2 Measurement research
group on RV Southern Surveyo and RV l'Astrolabe
The fugacity of carbon dioxide (fCO2) in surface
seawater was measured using a General Oceanics
Inc. automated system (Model 8050; Pierrot et al
2009). Seawater is sprayed into an equilibration
chamber and CO2 in the headspace gas
equilibrates with the seawater. The headspace gas
is pumped through a thermoelectric condenser
followed by a nafion drying tube before flowing
through a Licor 7000 non-dispersive infrared gas
analyser used to measure the CO2 mole fraction
(XCO2) of the dried air. The gas flow is stopped
temporarily for the CO2 measurements, which are
made at atmospheric pressure. A set of four CO2
standards that cover the range of CO2 values
expected in the ocean are analysed about every
four hours to calibrate the gas analyser. The
standard gas concentrations are on the
WMO-X2007 mole fraction scale for CO2-in-air.
Atmospheric XCO2 (dry) is measured after the
standards by pumping clean outside air from an
intake on the forward mast of the ship. The
seawater intake is located at about 5.5m depth in
Allegato 1
pag. 45/65
the bow of the ship.
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
dataset
Data
Dissolved CO2
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
trips
Deployment Information for Fluorescence at 1.9m
measured by FLNTU-RT Optical sensor (Turbidity
and Fluorescence).
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Dataset, aggregated dataset, graphs
Data
Optical - Fluorescence
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
trips
Deployment Information for Turbidity at 1.9m
measured by FLNTU-RT Optical sensor (Turbidity
and Fluorescence).
Observations/Measur
es (SOOP)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Dataset, aggregated dataset, graphs
Data
Optical - Turbidity
content/parameters
Updating
Campaign
frequency
Data policy
Extended
The IMOS Continuous Plankton Recorder
description
Sub-Facility (AusCPR) uses a number of
Continuous Plankton Recorders (CPR), the only
platform that can assess plankton species and be
towed behind ships of opportunity.
Species-level data are vital to examine
mesoscale productivity, biodiversity, and climate
impacts on marine ecosystems. Two seasonal
routes will be operated, in the Southern Ocean, and
the East Australian Current. In addition, data from
Southern Ocean CPR (SO-CPR) surveys are
available.
Allegato 1
pag. 46/65
Observations/Measur
es (ANFOG)
Volume/quantity
Formats/conventi
csv
ons
Software/Tools
used
Aggregation level
Dataset
Data
Biological - Plankton
content/parameters
Updating
Campaign
frequency
Data policy
Extended
The dataset contains temperature, salinity and
description
biological parameters like for example dissolved
oxygen and turbidity data measured by gliders
(Seaglider and Slocum) in Australian sea. The
Australian National Facility for Ocean Gliders
(ANFOG) located at the University of Western
Australia manages gliders to monitor the boundary
currents surroundings Australia.
Seaglider (operating down to 1000m depth) and
Slocum (operating down to 200m depth) glider data
from the oceans around Australia have been
collected by ANFOG since June 2008 and are
ongoing. The data are obtained from an onboard
Seabird-SBE41 CTD (Conductivity, Temperature,
Depth)
Observations/Measur
es (ANFOG)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
dataset, aggregated datasets, graphs
Data
content/parameters
Updating
Campaign deployment
frequency
Data policy
Extended
description
suite of instruments which include Seabird-SBE41
CTD (Conductivity, Temperature, Depth).
Volume/quantity
Formats/conventi
ons
Software/Tools
used
Aggregation level
Data
content/parameters
Updating
frequency
NetCDF
NetCDF-Java ToolsUI
Campaign deployment
Allegato 1
pag. 47/65
Observations/Measur
es (ANFOG)
Data policy
Extended
description
suite of instruments which include Aanderaa oxygen
optode (measuring concentration of dissolved
oxygen in seawater).
Observations/Measur
es (ANFOG)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Data
Dissolved Oxygen
content/parameters
Updating
Campaign deployment
frequency
Data policy
Extended
description
suite of instruments which include WETLabs
BBFL2SLO 3 parameter optical sensor (measuring
Chlorophyll-a, CDOM and 700nm Backscatter)
Observations/Measur
es (ANFOG)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Data
content/parameters
Updating
Campaign deployment
frequency
Data policy
Extended
description
Allegato 1
pag. 48/65
Observations/Measur
es (ANFOG)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Data
Optical - Turbidity
content/parameters
Updating
Campaign deployment
frequency
Data policy
Extended
description
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Data
Optical - CDOM
content/parameters
Updating
Campaign deployment
frequency
Data policy
Extended
The Australian National Mooring Network Facility
description
is a series of national reference stations and
regional moorings designed to monitor particular
oceanographic phenomena in Australian coastal
ocean waters. There are seven sub-facilities in the
ANMN: four regional sub-facilities, a series of
National Reference Stations (NRS). The National
Reference Stations are the backbone component of
the observing system. Extended by IMOS from
three to nine sites around the entire Australian
continent, the stations report integrated biological,
chemical and physical oceanography time series
observations, upon which more intensive local and
regional scale studies can be referenced against.
Allegato 1
pag. 49/65
Temperature is measured by SBE37, SBE39
instruments.
Observations/Measur
es (ANMN)
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
dataset, aggregated datasets, time series, graphs
Data
Sea Temperature - Surface temperature
content/parameters
Updating
Continual, On demand
frequency
Data policy
Extended
description
National Reference Stations (NRS), Acoustic
Observatories and an Acidification Moorings
sub-facility. The ANMN sub-facilities are: a)
Queensland and Northern Australia b) New South
Wales c) Southern Australia d) Western Australia e)
Acoustic Observatories f) National Reference
Stations (Coordination and Analysis) g) Acidification
Moorings The National Reference Stations are the
backbone component of the observing system.
Extended by IMOS from three to nine sites around
the entire Australian continent, the stations report
integrated biological, chemical and physical
oceanography time series observations, upon which
more intensive local and regional scale studies can
be referenced against. The regional moorings
monitor the interaction between boundary currents
and shelf water masses and their consequent
impact upon ocean productivity (e.g. Perth Canyon
Upwelling; Kangaroo Island Upwelling) and
ecosystem distribution and resilience (e.g. Coral
Sea interaction with the Great Barrier Reef ).
Operation of the network is distributed between
several operators and coordinated nationally.
Temperature is measured by SBE37, SBE39,
Wetlabs WQM, Aqualogger 520 and FSI NXIC
instruments, depending on the moored buoy
payload.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Sea Temperature - Sub surface temperature
content/parameters
Updating
frequency
Data policy
Extended
description
Allegato 1
pag. 50/65
Salinity is measured by SBE37, SBE39, Wetlabs
WQM, Aqualogger 520, FSI NXIC instruments,
depending on the moored buoy payload, as well as
Salinity bottle samples at reference station sites.
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
content/parameters
Updating
frequency
Data policy
Extended
description
Allegato 1
pag. 51/65
Dissolved oxygen is measured by Wetlabs WQM
using SBE43, and SBE43 on SBE19+ instruments,
depending on the moored buoy payload, as well as
Dissolved oxygen samples at reference station
sites.
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Dissolved Oxygen
content/parameters
Updating
frequency
Data policy
Extended
description
Meteorology data (Barometric pressure, Air
temperature, Relative humidity, Wind speed, Wind
direction, Rainfall) is measured by VAISALA
WXT520 instruments.
Volume/quantity
Formats/conventi
ons
Software/Tools
used
Aggregation level
Data
content/parameters
Updating
frequency
NetCDF
Meteorology
Allegato 1
pag. 52/65
Observations/Measur
es (ANMN)
Observations/Measur
es (ANMN)
Data policy
Extended
description
Fuorescence data are measured by Wetlabs WQM
instruments.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
content/parameters
Updating
frequency
Data policy
Extended
description
Allegato 1
pag. 53/65
Turbidity data are measured by Wetlabs WQM and
Wetlabs FLNTU instruments.
Observations/Measur
es (ANMN)
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Optical - Turbidity
content/parameters
Updating
frequency
Data policy
Extended
description
ocean waters. The National Reference Stations are
the backbone component of the observing system.
be referenced against. Clarity data are measured
by Secchi disk measurements at reference stations.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Optical - Clarity
content/parameters
Updating
frequency
Data policy
Extended
description
Allegato 1
pag. 54/65
Current and Wave measurements are measured by
RDI 300 kHz workhorse, RDI 150 kHz
quartermaster, RDI 75 kHz long ranger and Nortek
Continental 190kHz acoustic systems to derive
near-surface water currents and multi-directional
waves, depending on the moored buoy payload.
Observations/Measur
es (ANMN)
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Current Measurement
content/parameters
Updating
frequency
Data policy
Extended
description
be referenced against. Biogeochemical data are
measured by nutrient samples at reference stations.
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Biogeochemical - nutrients
content/parameters
Updating
frequency
Data policy
Extended
description
Allegato 1
pag. 55/65
be referenced against. Biological zooplankton and
phytoplankton data are measured by samples
enumeration taken at reference stations.
Observations/Measur
es (ACORN)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
used
Aggregation level
Data
Biological - Plankton
content/parameters
Updating
frequency
Data policy
Extended
The Australian Coastal Ocean Radar Network
description
(ACORN) facility comprises a coordinated network
of HF radars delivering real-time, non-quality
controlled and delayed-mode, quality controlled
surface current data into a national archive.
Deployment of the radars is in support of regional
nodes where there is a range of identified questions
concerned with boundary currents and associated
eddies and their interactions with shelf water and
topography.
The equipment comprises long-range WERA and
medium-range WERA systems and long-range
SeaSonde systems, and associated spares and
transport infrastructure. Measurements are taken
related to: Wind-driven Circulation, Significant Wave
Height, Wave Frequency, Length, Period, Spectra,
Speed/direction, and Surface Winds.
Vector
Observations/Measure
s (AATAMS)
Volume/quantity
Formats/conventi
NetCDF
ons
Software/Tools
NetCDF-Java ToolsUI
used
Aggregation level
Data
Current - Wind Measurement
content/parameters
Updating
Hourly, Monthly, Continual
frequency
Data policy
Extended
The Australian Animal Tagging And Monitoring
description
System (AATAMS) is a coordinated marine animal
tagging project. The project has deployed a network
of acoustic receivers to detect the movements of
tagged marine animals in coastal waters around
Australia. Animals can be monitored over scales of
hundreds of metres to hundreds of kilometres. An
array or network consists of a series of acoustic
receivers that can be left on the sea floor for up to 7
years with the ability to upload data from the
receivers as often as needed. AATAMS and eMII
have worked together to create a readily accessible
data search page which displays: - installations of
AATAMS receiver arrays/curtains - all AATAMS
acoustic receiver deployments - all AATAMS
acoustic tagging activity - all detections of tagged
animals Data can be viewed or downloaded in .xml,
.csv or .http formats.
Volume/quantity
Allegato 1
pag. 56/65
Observations/Measur
es (AUV)
Observations/Measur
es (AUV)
Formats/conventi
xml, csv, http, WFS
ons
Software/Tools
used
Aggregation level
Data
Biological - tagged species
content/parameters
Updating
Periodical
frequency
Data policy
Extended
The IMOS Autonomous Underwater Vehicle
description
(AUV) Facility operates an ocean going AUV called
Sirius capable of undertaking high resolution,
geo-referenced survey work. This platform is a
modified version of a mid-size robotic vehicle
Seabed built at the Woods Hole Oceanographic
Institution. This class of AUV has been designed
specifically for relatively low speed, high resolution
imaging and is passively stable in pitch and roll.
The objectives of the IMOS AUV Facility are to
provide access and operational support for AUV
systems for the marine science community in
Australia. The Facility currently operates an AUV
designed for high-resolution seafloor imaging.
Temperature is measured by SBE37 CT instrument.
Volume/quantity
Formats/conventi
csv, NetCDF
ons
Software/Tools
used
Aggregation level
dataset
Data
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
Fluorescence is measured by Wetlabs ECO Triplet
instrument.
Volume/quantity
Formats/conventi
ons
Software/Tools
used
Aggregation level
Data
content/parameters
Updating
frequency
Data policy
csv, NetCDF
dataset
Campaign
Allegato 1
pag. 57/65
Observations/Measur
es (AUV)
Observations/Measur
es (AUV)
Raster/Images (AUV)
Extended
description
Turbidity is measured by Wetlabs ECO Triplet
instrument.
Volume/quantity
Formats/conventi
csv, NetCDF
ons
Software/Tools
used
Aggregation level
dataset
Data
Optical - Turbidity
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
CDOM is measured by Wetlabs ECO Triplet
instrument.
Volume/quantity
Formats/conventi
csv, NetCDF
ons
Software/Tools
used
Aggregation level
dataset
Data
Optical - CDOM
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
Allegato 1
pag. 58/65
Gridded bathymetric data are coming from
processed a 330 kHz multibeam sonar acquisitions.
Raster/Images (AUV)
Raster/Images (AUV)
Volume/quantity
Formats/conventi
GRD Gridded, NetCDF format as used with GMT
ons
Software/Tools
GMT
used
Aggregation level
dataset
Data
Bathymetry
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
Optical imagery are coming from high resolution
stereo camera pair and strobes and is delivered as
individual high resolution, colour corrected images
(geotiffs) and also in processed form, as mosaics
Volume/quantity
Formats/conventi
GeoTIFF
ons
Software/Tools
used
Aggregation level
dataset
Data
Seafloor images
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
designed for high-resolution seafloor imaging. 3D
seafloor reconstructions are coming from high
resolution stereo camera pair and strobes and data
Allegato 1
pag. 59/65
are derived as mesh files to display using OSG
Text (AUV)
Observations/Measur
es (ANMN)
Volume/quantity
Formats/conventi
IVE osgsight (meshed image fly-through files)
ons
Software/Tools
OSG, GMT
used
Aggregation level
dataset
Data
Stereo imagery of seafloor
content/parameters
Updating
Campaign
frequency
Data policy
Extended
description
Reports of each dive are produced in form of
synthetic pdf files
Volume/quantity
Formats/conventi
pdf
ons
Software/Tools
used
Aggregation level
dataset
Data
Stereo imagery and sizing
content/parameters
Updating
Campaign
frequency
Data policy
Extended
The IMOS Facility for Intelligent Monitoring of
description
Marine Systems is a sensor network established in
the Great Barrier Reef off the coast of Queensland,
Australia. A 'sensor network' is an array of small,
wirelessly interconnected sensors that collectively
stream sensor data to a central data aggregation
point. Sensor networks can be used to provide
spatially dense bio-physical measurements in
real-time. In the marine environment they have
particular application to the study of benthic
ecosystems. FAIMMS sensors collect data related
to the interaction of heat and light in coral
bleaching, and to help understand the impact of
upwelling from the Coral Sea upon the productivity
of Great Barrier Reef ecosystemsThe immediate
value of the network will be its ability to return
spatially dense bio-physical measurements in
real-time. As such this represents a large scale trial
or "proof of concept" of a very important emerging
technology for application in the marine
environment with particular relevance to benthic
ecosystems such as Great Barrier Reef and other
benthic environments.instruments, depending on
the moored buoy payload. Temperature measures
Allegato 1
pag. 60/65
are taken by SBE37, SBE39, and MEA Thermistor,
depending on the sensor payload
Raster/Images (SRS)
Raster/Images (SRS)
Volume/quantity
Formats/conventi
csv, xml, NetCDF
ons
Software/Tools
used
Aggregation level
Dataset, graphs
Data
content/parameters
Updating
Periodical, on request
frequency
Data policy
Extended
The aim of the Australian Satellite SST L2P
description
Products sub-facility is to provide real-time and
reprocessed, high-resolution (1 km and 5 km),
locally received, satellite sea surface temperature
(SST) data products in the internationally accepted
GHRSST L2P and L3P format using new, best
practice, processing and calibration methods. The
satellite sensors to be used are the AVHRR infrared
sensors on the NOAA polar-orbiting satellites, the
MODIS infrared sensors on Aqua and Terra and
infrared sensors on available geostationary
satellites (eg. MTSAT-1R).
Volume/quantity
Formats/conventi
NetCDF, WMS
ons
Software/Tools
used
Aggregation level
Dataset
Data
Sea Temperature - Skin temperature
content/parameters
Updating
Daily
frequency
Data policy
Extended
The Aqua satellite platform carries a MODIS
description
sensor that observes sunlight reflected from within
the ocean surface layer at multiple wavelengths.
These multi-spectral measurements are used to
infer the concentration of chlorophyll-a (Chl-a), most
typically due to phytoplankton, present in the water.
The data are produced from the near real time
(nrt) data stream formed by combining data from all
the available direct broadcast reception stations in
Australia (Alice Springs, Melbourne, Townsville,
Perth, Hobart). The data are presented as a
sequence of granules, each with a maximum size
corresponding to 5 minutes of data, and beginning
on UTC-5 minute boundary (eg. 04:05, 04:10,
04:15). The granules have been remapped from
satellite
projection
into
a
geographic
(Latitude/Longitude axes) projection and are
formatted as CF-compliant netCDF files.
Volume/quantity
Formats/conventi
ons
Software/Tools
used
Aggregation level
Data
content/parameters
NetCDF
OC3 method , SeaDAS
Dataset
Ocean Color - Chlorophyll-a
Allegato 1
pag. 61/65
Software/Models
(RIBBON)
Software/Models
(SEDAS)
Updating
frequency
Data policy
Extended
description
Daily
Numerical modelling of the global ocean currently
requires models specifically deigned for the task at
hand. These models contain the computational
physics and software engineering necessary to
resolve the global ocean's dominant large scale
physics without compromising run times. While
these models may be eddy resolving in the ocean
basins, on coastal margins their accuracy
deteriorates due to their inability to resolve the
dominant scales of motion. It is in these coastal
zones that accurate numerical prediction is often
required to address numerous coastal issues. In the
past global models have been unsuitable for high
resolution limited area modelling of coastal
domains, however, recently there has been a
convergence of global and regional models to the
extent that some global models (e.g. MOM4p1) are
capable of accurately representing limited area
coastal domains. This is largely due to the inclusion
of adequate turbulence closure and open boundary
algorithms required to characterise coastal
processes.
Volume/quantity
Formats/conventi
WMS
ons
Software/Tools
SETAS (SHOC) model
used
Aggregation level
Model output, Time series animation
Data
Depth,
Water
velocity,
Salinity,
SSH,
content/parameters Temperature
Updating
frequency
Data policy
Extended
South East Tasmania Model output (SETAS) aims
description
to provide near real-time hydrodynamic modelling of
the south-east Tasmania, including the Huon and
Derwent Estuaries, D'Entrecasreaux Channel and
Storm Bay. It is anticipated that input data provided
by a sensor network deployed throughout the
region will be used by the hydrodynamic model in a
data assimilating capacity. The sensors would
provide sea-level, salinity and temperature data in
near real-time, while the hydrodynamic modelling
system (SHOC) would then provide near real-time
fields of currents, sea-level, water temperature and
salinity.
Volume/quantity
Formats/conventi
WMS
ons
Software/Tools
SETAS (SHOC) model
used
Aggregation level
Model output, Time series animation
Data
Depth, Water velocity, Salinity, SSH, Vertical
content/parameters diffusivity,
Air
pressure,
Wind
stress,
Temperature
Updating
frequency
Data policy
Allegato 1
pag. 62/65
Descrizione della soluzione: FUNCTIONALITIES
Navigating the Map Page
The map page contains a central map image for locating data geographically, and
two side panels (the Map Layer Chooser on the left, and the Layer Information
Panel on the right) that can be expanded and minimised.
Adding Map Layers
The Map Layer Chooser is for selecting what data is shown on the map. A map
layer is a collection of separate data objects, displayed as a group when the layer is
selected. A layer is selected by clicking on an item in the lowest level in the menu in
the Map Layer Chooser. When a layer is selected, the layer becomes "active", and
various information about the data associated with the layer appears on the map
and in the right panel. Icons showing locations appear on the map, and information
and viewing options for that layer are shown in the right panel. Multiple layers can
be added successively to the map, and all active layers are listed in the Active
Layers dialogue window, which can be used to manage them. When there is more
than one layer in the list, the right hand information panel displays information on
whichever layer is selected in the list: ie. the one highlighted in grey.
Layer Information Panel
When a map layer is selected, various functionality is made available within the
Layer Information Panel on the right hand side; the layer type will determine what
functions are available. When there are multiple active layers on the map,
information is shown for the layer selected from the Active Layers list (highlighted
in grey).
1
The opacity, or transparency, of the layer can be adjusted
2
The Info tab contains information retrieved from the metadata record for that
layer, if available. Links to various online resources related to the layer can be
found at the bottom of the page, if available.
3
The Styles tab shows a legend for the icons on the layer. For some layers it is
possible to alter the look of the layer features by selecting a style from a
drop-down menu. Also on the styles tab will be an icon for Transect Graphing for
layers that have that functionality available.
4
The Filters tab: a few layers have a filtering option, and if this is available it will be
shown under a Filters tab. Such layers can be filtered by variables such as time
and geographic area.
Feature Information Window
A single click on a feature icon on an active layer brings up a Feature
information window. The window can have multiple tabs if there are multiple
features near that click-point. The Feature Information Window may contain
one or more of the following: brief information on the feature, links to a
Allegato 1
pag. 63/65
metadata record, links to data, a preview chart of the data, related online
resources.
Transect Graphing
With the transect graphing tool it is possible to illustrate a particular gradient or
linear pattern; allowing a clear visualisation of the changes taking place along the
line. The transect graphing tool will be available when an active layer is present.
(Not all)
On the map click on a point you wish the transect to begin at. Continue to click on
the map where you wish the transect to cut. The transect can be a simple straight
line - 2 points or a polygon - multiple points. Double click the last required point. A
graph(s) will be produced showing the data along the selected transect, in a new
Transect tab within the Layer options (right hand) panel.
Animation Panel
In the animation panel, map layers with a temporal component can be:
5
Viewed as an animation over a defined time period,
6
Viewed on the map for a single date/time,
7
Downloaded as a still GIF image.
Add WMS Servers
The response to the request of WMs server adding is one or more geo-registered
map images (returned as JPEG, PNG, etc) that can be displayed in the Portal
browser application.
Contributing Data
The cookbook describes how to contribute data, it is compiled based on the AODN
instance.
(see attached file eMII_AODNCookbook-v2.0_3.pdf for details)
Download a Dataset
Many of the data sets on the Portal are available for download. There is a plan to
streamline the way users access and download data from the Portal in early to mid
2013. Until then, available data can be downloaded from the following locations:
11. From the map page, in the Feature Information Window, and for some layers
within the Information Panel. For more detail, see Map section below.
12. From the search page, within search results. For more detail, see Search section
below.
13. From within a metadata record: some records contain a link or links in the
'Distribution and Online resources' section.
Allegato 1
pag. 64/65
To download data from the Map Page, firstly add a layer to the map by clicking on
an item from the lowest level of the Map Layer Chooser. For some layers,
individual icons appear on the map representing separate information and/or data
for individual locations. Clicking on one of these icons will produce a Feature
Information Window with links relevant to that location. Other layers will contain a
grid or field of data (spatial data such as satellite maps), and clicking anywhere on
the layer will produce a feature window with links.
Selecting one of these links will produce different pages depending on the data type.
Many Portal datasets are stored as NetCDF files and accessed through a Thredds
catalog, and many links from the portal (eg. 'Download Data', 'Link to the data on
opendap', 'Data available via the IMOS OPeNDAP Server' ) lead to a page
showing the Thredds Catalog, looking something like this:
Portal Accounts Overview
The various portal instances including IMOS, AODN and SOOS along with the
Portal User Guide and Forum are backed by OpenID for user authentication,
allowing users to log in to all three using a single account.
It is not necessary to create a user account to search, view and download data,
however the benefits of creating an account are advantageous.
By creating an account the user can conduct the following operations:
14. Save created maps for easy referral when returning to a portal,
15. Save searches to ensure consistency in searching everytime for maximum
results,
16. Share user defined maps with others.
Allegato 1
pag. 65/65

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