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 transcript:

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

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

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)

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

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

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

GNS Science Pacific Seismic stations used by PTWC

GNS Science Sea Level stations used by PTWC

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

GNS Science

Sea level

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

GNS Science

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