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Station Corrections

Station corrections can be extract from previous runs to refine the localisation accuracy. The corrections can also help to improve the semblance find more events in a dataset.

Station Specific Corrections

Source specific delay statistic Statistics of station delay times.

StationCorrections Module

import_rundir

Path to rundir, to extract the station corrections from.

plot_corrections: False

Plot the station corrections statistics.

statistic: median | average

Arithmetic measure for the traveltime delays. Choose from median and average.

weighting: none | confidence | semblance | add-confidence-semblance | mul-confidence-semblance

Weighting of the traveltime delays. Choose from none, confidence, semblance, add-confidence-semblance and mul-confidence-semblance.

min_num_picks: 50

Minimum number of picks at a station required to calculate station corrections.

min_distance_border: 500.0

Minimum event distance from the border of the octree grid.

JSON for StationCorrections
{
  "corrections": "StationCorrections",
  "import_rundir": ".",
  "plot_corrections": false,
  "statistic": "median",
  "weighting": "mul-confidence-semblance",
  "min_num_picks": 50,
  "min_distance_border": 500.0
}

Source Specific Corrections

Source specific corrections volume Delay volume for a selected stations.

SourceSpecificStationCorrections Module

Source specific station travel time corrections.

import_rundir

Path to rundir, to extract the station corrections from.

weighting: none | confidence | semblance | add-confidence-semblance | mul-confidence-semblance

Weighting of the traveltime delays. Choose from none, confidence, semblance, add-confidence-semblance and mul-confidence-semblance.

min_confidence: 5.0

Minimum cumulative pick confidence within the sphere surrouding the node. If the cumulative pick confidence inside the sphere is below this value, the sphere radius is increased until enough picks are inside the sphere.

min_distance_border: 500.0

Minimum event distance from the border of the octree grid.

spatial_weighting_exponent: 3.0

The exponent of the spatial weighting function around the sphere.

octree_level: 0

The octree level (resolution) to use for the station corrections. This is the SSST grid spacing.

delay_interpolation_method: nearest | linear | cubic

The interpolation method to use for interpolating delays between nodes.

JSON for SourceSpecificStationCorrections
{
  "corrections": "SourceSpecificStationCorrections",
  "import_rundir": ".",
  "weighting": "mul-confidence-semblance",
  "min_confidence": 5.0,
  "min_distance_border": 500.0,
  "spatial_weighting_exponent": 3.0,
  "octree_level": 0,
  "delay_interpolation_method": "linear"
}