Seismic Network Operations


Ny-Alesund, Spitzbergen, Norway

IU KBS commences operations on: 1994,309

Country Flag
Host: University of Bergen
Latitude: 78.915
Longitude: 11.938
Elevation: 90
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
Station Photo Station Photo 

Vault Condition: Seismometer piers are isolated from the floor and extend through two feet of soil plus an additional two feet into the permafrost. Large iron bolts extend from the bottom of the pier into the permafrost for another five feet. The building is on stilts and the piers are exposed for several feet to the elements, and strong winds cause noisy conditions.

Site Geology: Permafrost

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
20HNZFBA ES-T EpiSensor AccelerometerTG100.00-
20HN2FBA ES-T EpiSensor AccelerometerTG100.000.0090.003.00
20HN1FBA ES-T EpiSensor AccelerometerTG100.
10HHZSTS-2 Standard-gainTG100.00-
10HH2STS-2 Standard-gainTG100.000.00100.003.00
10HH1STS-2 Standard-gainTG100.000.0010.003.00
30LDOCI/PAS pressure sensorCW1.
30BDOCI/PAS pressure sensorCW40.
20LNZFBA ES-T EpiSensor AccelerometerCG1.00-
20LN2FBA ES-T EpiSensor AccelerometerCG1.000.0090.003.00
20LN1FBA ES-T EpiSensor AccelerometerCG1.
10VHZSTS-2 Standard-gainCG0.10-
10VH2STS-2 Standard-gainCG0.100.00100.003.00
10VH1STS-2 Standard-gainCG0.100.0010.003.00
10LHZSTS-2 Standard-gainCG1.00-
10LH2STS-2 Standard-gainCG1.000.00100.003.00
10LH1STS-2 Standard-gainCG1.000.0010.003.00
10BHZSTS-2 Standard-gainCG40.00-
10BH2STS-2 Standard-gainCG40.000.00100.003.00
10BH1STS-2 Standard-gainCG40.000.0010.003.00
00VHZSTS-1VBB w/E300CG0.10-
00VH2STS-1VBB w/E300CG0.100.0089.003.00
00VH1STS-1VBB w/E300CG0.100.00359.003.00
00LHZSTS-1VBB w/E300CG1.00-
00LH2STS-1VBB w/E300CG1.000.0089.003.00
00LH1STS-1VBB w/E300CG1.000.00359.003.00
00BHZSTS-1VBB w/E300CG20.00-
00BH2STS-1VBB w/E300CG20.000.0089.003.00
00BH1STS-1VBB w/E300CG20.000.00359.003.00
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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
00BH12014:0902011:019 to No Ending TimeA0.0248660.00867980.142050.19239STS1VBBE3Random
00BH22014:0902011:019 to No Ending TimeA0.0161260.0089180.11680.16269STS1VBBE3Random
10BHZ2014:0912011:020 to No Ending TimeA0.0417890.0147830.13330.20202STS-2-SGRandom
00BHZ2014:0902011:019 to No Ending TimeA0.0173870.0116610.118430.20467STS1VBBE3Random
  1. 2010-06-11
    Upgraded to Q330 digitizer.