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Green cable systems: Open Data and Open Standards Crucial for Warning Ken Gledhill GeoNet Project Director Chair, Intergovernmental Coordination Group,

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Presentation on theme: "Green cable systems: Open Data and Open Standards Crucial for Warning Ken Gledhill GeoNet Project Director Chair, Intergovernmental Coordination Group,"— Presentation transcript:

1 Green cable systems: Open Data and Open Standards Crucial for Warning Ken Gledhill GeoNet Project Director Chair, Intergovernmental Coordination Group, Pacific Tsunami Warning and Mitigation System GNS Science, New Zealand

2 GNS Science Outline  New Zealand Situation  Open data exchange and data handling practice  Pacific Tsunami Warning and Mitigation System (PTWS) and the use of forecast models

3 GNS Science Events During the Last Few Years ….  2009 (July): Dusky Sound Earthquake (M W 7.6)  2009 (September): Samoan Islands Tsunami  2010 (February): Chile Tsunami  2010 (September): Darfield Earthquake (M W 7.1)  2011 (February): Christchurch Earthquake (M W 6.2)  2011 (March): Japan Tsunami  2011 (June): Canterbury Earthquake (M W 6.0)  2011 (December): Canterbury Earthquakes (M W 5.8, 5.9)  2012 (August, November): Tongariro Eruptions  2013 (July, August): Cook Strait Earthquakes (M W 6.5, 6.6)  2014 (January): (M W 6.2)  2014 (January): Eketahuna Earthquake (M W 6.2)

4 GNS Science NZ GeoNet: New Zealand’s geological hazards monitoring system Seismic and Tsunami Sea Level stations

5 GNS Science Open Source The Cloud Open Data ALL NZ GeoNet Data is Open Open Standards

6 GNS Science Real-time Data Sharing with Other Major Data and Warning Centres USA Europe Japan Australia WC/ATWC PTWC NEIC IRIS IGS GFZ IOC CTBTO GA BoM JAMSTEC Vanuatu NC Seismic GNSS (GPS) Sea Level

7 GNS Science Pacific Seismic stations used by PTWC

8 GNS Science Sea Level stations used by PTWC

9 GNS Science Deep Ocean Amplitude Model for the March 2011 Japan Tsunami

10 GNS Science

11 Sea level

12 GNS Science PTWS: Data allows forecast models to provide information on likely impacts (Enhanced PTWC messaging)

13 GNS Science

14 Conclusions Conclusions  Warning centres are now capable of providing reliable data-driven forecast models for natural hazards such as tsunami  Observations are crucial to the calculation and verification of forecasts  Open data standards allow fast and effective sharing of observational data in near-real-time  Timely and open data availability is crucial for natural hazard characterisation and warning  New Zealand demonstrates what is possible

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