Seismic Network Operations

IU TARA

Tarawa Island, Republic of Kiribati

IU TARA commences operations on: 2007,001

Country Flag
Host: Kiribati Weather Service
Latitude: 1.355
Longitude: 172.923
Elevation: 20
Datalogger: Q330
Broadband: STS-2_Standard-gain
Accelerometer: FBA_ES-T_EpiSensor_Accelerometer
Telemetry Status at the NEIC: Last Data In Less Than 10 Minutes
Station Photo Station Photo Station Photo 
Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
10BH1STS-2 High-gainCG40.000.002.000.00
00BH1STS-2 Standard-gainCG40.000.000.000.00
10BH2STS-2 High-gainCG40.000.0092.000.00
00BH2STS-2 Standard-gainCG40.000.0090.000.00
10BHZSTS-2 High-gainCG40.00-90.000.000.00
00BHZSTS-2 Standard-gainCG40.00-90.000.000.00
10HH1STS-2 High-gainTG100.000.002.000.00
00HH1STS-2 Standard-gainTG100.000.000.000.00
10HH2STS-2 High-gainTG100.000.0092.000.00
00HH2STS-2 Standard-gainTG100.000.0090.000.00
10HHZSTS-2 High-gainTG100.00-90.000.000.00
00HHZSTS-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
30LDOIU Paroscientific MicrobarographCW1.000.000.0015.00
10LH1STS-2 High-gainCG1.000.002.000.00
00LH1STS-2 Standard-gainCG1.000.000.000.00
10LH2STS-2 High-gainCG1.000.0092.000.00
00LH2STS-2 Standard-gainCG1.000.0090.000.00
10LHZSTS-2 High-gainCG1.00-90.000.000.00
00LHZSTS-2 Standard-gainCG1.00-90.000.000.00
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 High-gainCG0.100.002.000.00
00VH1STS-2 Standard-gainCG0.100.000.000.00
10VH2STS-2 High-gainCG0.100.0092.000.00
00VH2STS-2 Standard-gainCG0.100.0090.000.00
10VHZSTS-2 High-gainCG0.10-90.000.000.00
00VHZSTS-2 Standard-gainCG0.10-90.000.000.00
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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
00BHZ2011:224 2011:019 to No Ending TiA0.0149070.0151520.114410.074126 STS-2-SGRandom
10BHZ2011:225 2011:021 to No Ending TiA0.0142660.0144950.0887760.080853 STS-2-HGRandom
  1. Current Issues
    STS-2 is showing spikes on all components.
  2. 2011-01-19
    New granite baseplate and new STS-2 installed to address observed high levels of long period noise and high DC offset.
  3. 2009-11-13
    Upgraded to Q330 digitizer.