Seismic Network Operations


Bermuda Institute of Ocean Sciences, St George's Bermuda

IU BBSR commences operations on: 2002,191

Country Flag
Host: Bermuda Institute of Ocean Sciences
Latitude: 32.371
Longitude: -64.696
Elevation: 30
Datalogger: Q330
Broadband: CMG3-TB
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: N/A, borehole

Site Geology: Sandstone, basalt

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
00VMZT120 post hole, quietCH0.100.000.0031.00
00VM2T120 post hole, quietCH0.100.000.0031.00
00VM1T120 post hole, quietCH0.100.000.0031.00
00VHZT120 post hole, quietCG0.10-90.000.0031.40
00VH2T120 post hole, quietCG0.100.00130.0031.40
00VH1T120 post hole, quietCG0.100.0040.0031.40
00LHZT120 post hole, quietCG1.00-90.000.0031.40
00LH2T120 post hole, quietCG1.000.00130.0031.40
00LH1T120 post hole, quietCG1.000.0040.0031.40
00HHZT120 post hole, quietTG100.00-90.000.0031.40
00HH2T120 post hole, quietTG100.000.00130.0031.40
00HH1T120 post hole, quietTG100.000.0040.0031.40
00BHZT120 post hole, quietCG40.00-90.000.0031.40
00BH2T120 post hole, quietCG40.000.00130.0031.40
00BH1T120 post hole, quietCG40.000.0040.0031.40
10VMWStreckeisen STS-2 High-gainCH0.
10VMVStreckeisen STS-2 High-gainCH0.
10VMUStreckeisen STS-2 High-gainCH0.
10VHZStreckeisen STS-2 High-gainCG0.10-
10VH2Streckeisen STS-2 High-gainCG0.100.0090.000.00
10VH1Streckeisen STS-2 High-gainCG0.
10LHZStreckeisen STS-2 High-gainCG1.00-
10LH2Streckeisen STS-2 High-gainCG1.000.0090.000.00
10LH1Streckeisen STS-2 High-gainCG1.
10BHZStreckeisen STS-2 High-gainCG40.00-
10BH2Streckeisen STS-2 High-gainCG40.000.0090.000.00
10BH1Streckeisen STS-2 High-gainCG40.
20LNZKinemetrics FBA ES-T EpiSensor AccelerometerCG1.00-
20LN2Kinemetrics FBA ES-T EpiSensor AccelerometerCG1.000.0090.000.00
20LN1Kinemetrics FBA ES-T EpiSensor AccelerometerCG1.
20HNZKinemetrics FBA ES-T EpiSensor AccelerometerTG100.00-
20HN2Kinemetrics FBA ES-T EpiSensor AccelerometerTG100.000.0090.000.00
20HN1Kinemetrics FBA ES-T EpiSensor AccelerometerTG100.
30LDOIU Paroscientific MicrobarographCW1.
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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
00BHZ2014:0662013:234 to 2014,068,18A0.0149890.0142870.0971820.080965T120PHQRandom
10BHZ2014:0672011:263 to No Ending TimeA0.0153060.014580.132890.091024STS-2-HGRandom
  1. 2013-08-22
    CMG-3TB replaced with Trillium120PHQ.
  2. 2012-08-16
    The CMG-3TB was showing persistent LP pulsing and then completely failed.
  3. 2008-08-01
    Upgraded to Q330 digitizer.