Seismic Network Operations

IU SNZO

South Karori, New Zealand

IU SNZO commences operations on: 1992,098

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Host: Institute of Geological and Nuclear Sciences
Latitude: -41.309
Longitude: 174.704
Elevation: 120
Datalogger: Q330
Broadband: KS-54000
Accelerometer: FBA_ES-T_EpiSensor_Accelerometer
Telemetry Status at the NEIC: Last Data In Less Than 10 Minutes
Station Photo Station Photo Station Photo 

Vault Condition: Borehole

Site Geology: Dense hard mesozoic graywacke

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
10BH1STS-2 Standard-gainCG40.000.000.000.00
00BH1KS-54000CG20.000.00271.0096.90
10BH2STS-2 Standard-gainCG40.000.0090.000.00
00BH2KS-54000CG20.000.001.0096.90
10BHZSTS-2 Standard-gainCG40.00-90.000.000.00
00BHZKS-54000CG20.00-90.000.0096.90
10HH1STS-2 Standard-gainTG100.000.000.000.00
10HH2STS-2 Standard-gainTG100.000.0090.000.00
10HHZSTS-2 Standard-gainTG100.00-90.000.000.00
20HN1FBA ES-T EpiSensor AccelerometerTG100.000.000.000.00
20HN2FBA ES-T EpiSensor AccelerometerTG100.000.0090.000.00
20HNZFBA ES-T EpiSensor AccelerometerTG100.00-90.000.000.00
30LDOCI/PAS pressure sensorCG1.000.000.001.00
10LH1STS-2 Standard-gainCG1.000.000.000.00
00LH1KS-54000CG1.000.00271.0096.90
10LH2STS-2 Standard-gainCG1.000.0090.000.00
00LH2KS-54000CG1.000.001.0096.90
10LHZSTS-2 Standard-gainCG1.00-90.000.000.00
00LHZKS-54000CG1.00-90.000.0096.90
20LN1FBA ES-T EpiSensor AccelerometerCG1.000.000.000.00
20LN2FBA ES-T EpiSensor AccelerometerCG1.000.0090.000.00
20LNZFBA ES-T EpiSensor AccelerometerCG1.00-90.000.000.00
10VH1STS-2 Standard-gainCG0.100.000.000.00
00VH1KS-54000CG0.100.00271.0096.90
10VH2STS-2 Standard-gainCG0.100.0090.000.00
00VH2KS-54000CG0.100.001.0096.90
10VHZSTS-2 Standard-gainCG0.10-90.000.000.00
00VHZKS-54000CG0.10-90.000.0096.90
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As part of the annual calibration process, the USGS runs a sequence that includes a random, a step, and several sine wave calibrations.  The USGS analyzes the random binary calibration signal in order to estimate the instrument response.  The figures below show the results from the analysis of the most recent processed calibration at the station.

We use an iterative three-step method to estimate instrument response parameters (poles, zeros, sensitivity and gain) and their associated errors using random calibration signals. First, we solve a coarse non-linear inverse problem using a least squares grid search to yield a first approximation to the solution. This approach reduces the likelihood of poorly estimated parameters (a local-minimum solution) caused by noise in the calibration records and enhances algorithm convergence. Second, we iteratively solve a non-linear parameter estimation problem to obtain the least squares best-fit Laplace pole/zero/gain model. Third, by applying the central limit theorem we estimate the errors in this pole/zero model by solving the inverse problem at each frequency in a 2/3rds-octave band centered at each best-fit pole/zero frequency. This procedure yields error estimates of the 99% confidence interval.

LocChanCal DateEpoch-SpanGradeAmp Nominal Error (dB)Amp Best Fit Error (dB)Phase Nominal Error (degree)Phase Best Fit Error (degree)SensorCal Type
00BH22010:345 2010:344 to No Ending TA0.00745990.00673630.0638630.06916 54000Random
00BHZ2010:345 2010:344 to No Ending TA0.00620160.0058790.0589550.064188 54000Random
10BHZ2010:345 2010:344 to No Ending TA0.012150.0123810.0667810.066075 STS-2-SGRandom
00BH12010:345 2010:344 to No Ending TA0.0319610.00749420.0895090.12582 54000Random
  1. 2010-12-12
    Upgraded to Q330 digitizer.