Seismic Network Operations

CU GTBY

Guantanamo Bay, Cuba

CU GTBY commences operations on: 2007,239

Country Flag
Host: US Navy
Latitude: 19.927
Longitude: -75.111
Elevation: 79
Datalogger: Q330
Broadband: STS-2
Accelerometer: FBA
Telemetry Status at the NEIC: Last Data In Less Than 10 Minutes
Station Photo Station Photo Station Photo 
Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
00BH1STS-2CG40.000.000.000.00
00BH2STS-2CG40.000.0090.000.00
00BHZSTS-2CG40.00-90.000.000.00
20HN1FBATG100.000.000.000.00
20HN2FBATG100.000.0090.000.00
20HNZFBATG100.00-90.000.000.00
00LH1STS-2CG1.000.000.000.00
00LH2STS-2CG1.000.0090.000.00
00LHZSTS-2CG1.00-90.000.000.00
20LN1FBACG1.000.000.000.00
20LN2FBACG1.000.0090.000.00
20LNZFBACG1.00-90.000.000.00
00 BH1 Monthly PDF
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00 BH2 Monthly PDF
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00 BHZ Monthly PDF
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00 LH1 Monthly PDF
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00 LH2 Monthly PDF
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00 LHZ Monthly PDF
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Heliplot
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Latency
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Availability, Year
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Availability, Since 1972
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Availability, 2 Month
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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
00BHZ2011:103 2010:041 to No Ending TiA0.0160790.0135110.0802760.10681 STS-2-SGRandom
  1. 2012-06-20
    Batteries replaced. This also resolved a regular pulsing issue that was likely caused by the charging system.