1. Earthquakes at GNS Kevin Fenaughty GeoNet Data Centre Manager

2. Content Hypocentres: origin time, latitude, longitude and depth Magnitudes Standard errors and quality information “Felt” reports

3. Structure Each event can have many locations Each location can have many magnitude determinations Each event has a prime estimate to flatten the data for most purposes EVENTLOCATIONMAGNITUDE

4. Major characteristics Stored in Oracle Real-time updates from a VMS client Publicly available from www.geonet.org.nz

5. Users In-house GNS staff World-wide research community Insurance industry Schools

6. Uses Plotting seismicity maps – generally the first step in any seismological study Looking for statistical trends: developing forecasting techniques Investigating damage claims

7. New Zealand deep seismicity

8. Relationships Earthquakes are linked to both the GNS landslide database and the active faults database Hypocentres above magnitude 3.7 are provided to the International Seismological Centre in the United Kingdom for their world-wide catalogue

9. Development plans After July 2003, to make earthquake waveform data publicly accessible After January 2004, to allow “felt” reports to be made on-line by the general public Long-term: get into scientists’ “bottom drawers” for special studies

10. Volcanoes at GNS Kevin Fenaughty on behalf of Brad Scott Volcano Surveillance Coordinator

11. Content Visual observations Photographs Lake, stream and spring temperatures Water and gas chemistry Volcanic earthquakes Volcanic tremor Ground deformation Geology

12. Another day at the office…

13. Structure Much of the data is digital, but not in a relational database Apart from geology, most data can be organised as a time series

14. Users Direct users: –In-house GNS staff –World-wide research community Indirect users (value-added): –Local, regional and central government agencies –The tourism and aviation industry –Media and the public

15. Uses Development of volcano monitoring techniques Quantifying volcano behaviour Eruption prediction Ashfall prediction for aviation industry

16. Relationships The collection of volcanic gas and water chemistry data will be added to the GNS groundwater database Lightning and wind information is supplied by MetService

17. Development plans Use the same tables as the GNS groundwater database to store low-volume time series data Develop web-based graphical tools for displaying time series parameters Long-term: preserve the knowledge behind paper-based archives