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Station Distance Weighting

Station distance weights are used to give stations close to a node higher weight as it contributes more accurate information about the event's hypocenter. Station nodes are calculated for every node and station in the search volume.

Tip

Station weights play a crucial role for successful detection and location of events. While the default parameters are tuned for local and regional networks. The distance_taper and waterlevel may have to be tuned for different layouts.

Distance Weighting

Distance weights beteen a single node and stations. Shown here is the station weight and cummulative weight for the whole network. With three tuneable parameters: (1) Required closest stations, (2) taper distance and (3) waterlevel.

DistanceWeights Module

distance_taper

Taper distance for the Gaussian weighting function in meters. 'mean_interstation' uses twice the mean interstation distance for the radius. Default is 'mean_interstation'.

required_closest_stations: 4

Number of stations to assign full weight in the spatial weighting function, only more distant stations are tapered with a Gaussian decay. This ensures that the closest N stations have an equal and the highest contribution to the detection and localization. Default is 4.

waterlevel: 0.0

Stations outside the taper are lifted by this fraction. Default is 0.0.

JSON for DistanceWeights
{
  "distance_taper": "mean_interstation",
  "required_closest_stations": 4,
  "waterlevel": 0.0
}