Select a format below to download the complete technical data for this earthquake. [Succinct microcopy that describes what QUAKEML and STRONG is and that the open data in the current tab and do not download a file and that shaking layers is on an external site]
Calculated source location of the earthquake. It contains the parameters GeoNet's location software derived from seismic station observations.
| PublicID | 1554717 |
| UTC Time | 1973-01-05T13:54:28Z |
| Latitude | -39.04 (± 0.0 km) |
| Longitude | 175.26 (± 0.0 km) |
| Depth | 163 km (± 7 km) |
| Depth Type | free |
| Earth Model | nz1d |
| Used Phase Count | 14 |
| Used Station Count | 13 |
| Standard Error | 0.60 (s) |
| Azimuthal Gap | 127.00 (degrees) |
| Minimum Distance | 0.28 (degrees) |
Map showing stations with picks used to locate the earthquake. Stations with picks that have a zero weight in the solution are shown as small grey circles. Those with a higher weight are shown as larger circles. The quake is shown by the largest circle.
| Type | Magnitude | Station Count |
|---|---|---|
| Preferred (Mw) | 6.6 | |
| ML | 7.0 | 0 |
| MS | 6.3 | 0 |
| Mb | 6.4 | 0 |
| Mw | 6.6 | 0 |
| Minimum distance | 0.28 (degree) |
GeoNet combines magnitudes into a summary magnitude, M, which consists of a weighted average
of
the individual magnitudes and attempts to be a best possible compromise between all magnitudes for a
range
of earthquake sizes.
Summary magnitude for GeoNet is then defined as:
M = (2 * MLv + (0.4 * number_of stations(Mw(mB)) - 1) * Mw(mB)) / (2 + (0.4 *
number_of_stations(Mw(mB)) - 1))
Where MLv is local magnitude calculated on the vertical component and Mw(mB) is a Mw
estimation
based of mB by Bormann and Saul (2008).
Observed arrival time at a seismic station compared to a predicted arrival time from a GeoNet waveform propagation model (a given velocity model (1D or 3D)). A residual of 0 s indicates that the observed seismic phase arrival time (typically P or S) matches the arrival time predicted by the GeoNet velocity model. Low residuals across multiple well-distributed stations increase confidence in the estimated event location and origin time. Large (brown) points are used to determine the current solution, small (grey) points are observations not used.
