Seismic Network Operations


Cathedral Cave, Missouri, USA

IU CCM commences operations on: 1989,209

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Host: St. Louis University
Latitude: 38.056
Longitude: -91.245
Elevation: 222
Datalogger: Q330
Broadband: STS-1VBB_w/E300
Accelerometer: FBA_ES-T_EpiSensor_Accelerometer
Telemetry Status at the NEIC: Last Data In Less Than 10 Minutes
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Vault Condition: The seismograph station is located in Cathedral Cave in the Onondaga Cave State Park in Missouri. This is a large cave open to tourists. Temperature and humidity are stable. Seismometers are on concrete pads attached to bedrock.

Site Geology: Located in upper Cambrian and lower Ordovician Gasconade Dolomite. Thick bedded cherty dolomite ranges from 50-70 meters.

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
30LDOCI/PAS pressure sensorCW1.000.000.0051.00
20LNZFBA ES-T EpiSensor AccelerometerCG1.00-90.000.0051.00
20LN2FBA ES-T EpiSensor AccelerometerCG1.000.0090.0051.00
20LN1FBA ES-T EpiSensor AccelerometerCG1.000.000.0051.00
20HNZFBA ES-T EpiSensor AccelerometerTG100.00-90.000.0051.00
20HN2FBA ES-T EpiSensor AccelerometerTG100.000.0090.0051.00
20HN1FBA ES-T EpiSensor AccelerometerTG100.000.000.0051.00
00VMZSTS-1VBB w/E300CH0.100.000.0051.00
00VM2STS-1VBB w/E300CH0.100.000.0051.00
00VM1STS-1VBB w/E300CH0.100.000.0051.00
00VHZSTS-1VBB w/E300CG0.10-90.000.0051.00
00VH2STS-1VBB w/E300CG0.100.0090.0051.00
00VH1STS-1VBB w/E300CG0.100.000.0051.00
00LHZSTS-1VBB w/E300CG1.00-90.000.0051.00
00LH2STS-1VBB w/E300CG1.000.0090.0051.00
00LH1STS-1VBB w/E300CG1.000.000.0051.00
00BHZSTS-1VBB w/E300CG20.00-90.000.0051.00
00BH2STS-1VBB w/E300CG20.000.0090.0051.00
00BH1STS-1VBB w/E300CG20.000.000.0051.00
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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
10BHZ2012:012 2011:195 to No Ending TA0.0174580.014920.134710.17873 STS-2.5Random
00BHZ2012:011 2011:195 to No Ending TA0.0155850.0119020.123040.093602 STS1VBBE3Random
00BH22012:011 2011:195 to No Ending TA0.0202760.00938550.13580.12188 STS1VBBE3Random
00BH12012:011 2011:195 to No Ending TA0.0162330.00855360.122690.17375 STS1VBBE3Random
  1. 2012-06-14
    The STS-2.5 and Episensor were both replaced due to noise issues.
  2. 2011-10-05
    New fiber connection installed and station is back online.
  3. 2011-07-20
    Upgraded to Q330 digitizer