Als der Käfer laufen lernte: Bilder vom Band: die VW

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The RITMARE coastal radar network and applications to monitor marine transport infrastructures
Carrara P. (1), § Corgnati L. (2), Cosoli S. (3), Forneris V. (4), Griffa A. (2), Kalampokis A. (5), Mantovani C. (2), Oggioni A. (1), Pepe M. (1), Raffa F. (6), Santoleri L. (4), Serafino F. (1), Tronconi C. (4), Uttieri M. (5), Zambianchi E. (5)
(1) Institute for Electromagnetic Sensing of the Environment (IREA-CNR), (2) Institute of Marine Science (ISMAR-CNR) UOS La Spezia, (3) Istituto Nazionale di Oceanografia edi Geofisica Sperimentale (OGS), (4) Institute of Atmospheric Sciences and Climate (ISAC-CNR), (5) CoNISMa – ULR Parthenope, Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli Parthenope, (6) Institute for Coastal Marine Environment (IAMC-CNR) UOS Messina
§ Correspondig author: Lorenzo Corgnati - lorenzo.corgnati@sp.ismar.cnr.it
RITMARE Flagship Project
Radar activities
Applications
Italian marine resesarch project for the period 2012-2016.
The sub-projects:
> Creation of an observational monitoring
system
1. Maritime Technologies for the development and construction of a Demonstration Vessel
> Definition of radar interoperable data format
2. Technologies for Substainable Fishing
> DataCenter implementation for real
time/delayed mode data dissemination and
visualization
3. Planning of the Maritime Space in Coastal Waters
4. Planning of the Deep Marine Environment and the Open Sea
> Monitoring of ports
> Monitoring of ship tracks close to the coast
> Support to navigation in densely operated areas
> Oil spill accidents fast response
> Search And Rescue
> Definition, implementation and harmonization
of standard QA/QC procedures
5. Observation System for the Marine Mediterranean Environment
+
6. Research, Training and Dissemination Structures
> Data Policy
> Marine Protected Area Surveillance
> Monitoring of Marine Connectivity
> Marine population circulation
7. Interoperable Infrastructure for the Observation Network and Marine Data
The Radar Network
X band radar
> CNR-IREA and CNR-IAMC: Sicily (a1),
Venice (a2)
c1
a2
HF Radar nodes specifications
b
d
Products:
- Current radial and total velocity
- Waves fields
- Wind fields
HF radar
> CNR–ISMAR: Gulf of Manfredonia (b)
> OGS: Northern Adriatic (c1), Sicily (c2)
> Parthenope University: Gulf of Naples (d)
Manufacturers:
CODAR (b,c1,d)
WERA (c2)
Frequencies:
25 MHz (b,c1,d)
16 MHz (c2)
Ranges:
35-50 Km (b,c1,d)
110 Km (c2)
Range and angular resolutions:
1Km and 5° (b,c1,d)
1.5Km and 1° (c2)
X-Band Radar nodes specifications
Products:
- Bathymetry maps
- Current velocity maps
- Sea state parameters
Frequency:
9,5 GHz (a1, a2)
Range:
5 Km (a1, a2)
Range and angular resolution:
7 m and 0,9° (a1, a2)
a1
c2
Interoperable Data Formats
Example of total velocity field from Gulf of Naples.
NetCDF Data Dissemination
Definition of NetCDF format for radial and total velocities compliant
with:
> CF-1.6 convention
> US HF radar community (ROWG) recommendations
Visualization and access to radial and total velocity maps:
> Visualization by the interoperable and open source suite
developed in RITMARE infrastructure, OCG standards based;
> Common formats (GeoTIFF and ShapeFile) for data access and
distribution
Real Time dissemination on THREDDS
Visualization tools:
> GODIVA (browser based)
> NetCDF-Java ToolsUI (webstart)
> Integrated Data Viewer (webstart)
Data access protocols:
Example of total velocity field on THREDDS.
> OpenDAP
> WMS
> NetCDFSubset
http://ritmare.artov.isac.cnr.it/thredds/ritmare/radar_costieri.html?dataset=Totals
Bathymetry map relevant to the
neighborhood of Capo Granitola
Current map
relevant to the
neighborhood of
Capo Granitola
Web-service based distribution
RITMARE Starter Kit enables:
> Access and distribution of geospatial resources according to the
OGC standards defined for the specific data types:
>> geodata (e.g. maps and layers) (WMS, WFS and WCS)
>> observations pulled from sensors (RealTime) (SOS)
> Discovery by means
of fine-grained
metadata (compliant
with standards:
INSPIRE and
SensorML) semantically
enriched (controlled
vocabularies and
RDF-based data
structures)
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