Seismic Network Operations


Albuquerque, New Mexico, USA

IU ANMO commences operations on: 1989,241

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Host: US Geological Survey
Latitude: 34.946
Longitude: -106.457
Elevation: 1820
Datalogger: Q330
Broadband: KS-54000
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: On 30 Oct 1992 the very short-period seismometers (Geotech Model GS-13) were relocated in a surface vault approximately 100 meters distant from the borehole. The seismometers are located on a concrete floor poured on top of exposed granite rock. Vault is covered with about 1 meter of earth. Temperature and humidity are stable, however, strong winds cause high frequency background noise. Prior to this time the very short-period system was located in the vault which was used for the ALQ seismograph system. Please note that the coordinates and elevation for this vault are slightly different. This information can be found in the listing for station

Site Geology: Pensylvanian and later sediments overlying a peneplained Pre-Cambrian complex of metasediments and granitic intrusives. Borehole is drilled through 6 meters of alluvial overburden and 94 meters of fractured granite.

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
40LFZBartington 3-Axis Fluxgate SensorCH1.00-
20LNZTitan AccelerometerCG1.00-
20HNZTitan AccelerometerTG100.00-
10VHZGuralp CMG3-T Seismometer (borehole)CG0.10-90.000.0057.00
10LHZGuralp CMG3-T Seismometer (borehole)CG1.00-90.000.0057.00
10HHZGuralp CMG3-T Seismometer (borehole)TG100.00-90.000.0057.00
10BHZGuralp CMG3-T Seismometer (borehole)CG40.00-90.000.0057.00
00VHZGeotech KS-54000 Borehole SeismometerCG0.10-90.000.00145.00
00LHZGeotech KS-54000 Borehole SeismometerCG1.00-90.000.00145.00
00BHZGeotech KS-54000 Borehole SeismometerCG20.00-90.000.00145.00
60HDFValidyne Infrasound SensorCG100.
50LWSVaisala Weather TransmitterCW1.
50LWDVaisala Weather TransmitterCW1.
50LRIVaisala Weather TransmitterCW1.
50LRHVaisala Weather TransmitterCW1.
50LKOVaisala Weather TransmitterCW1.
50LIOVaisala Weather TransmitterCW1.
50LDOVaisala Weather TransmitterCW1.
40LF2Bartington 3-Axis Fluxgate SensorCH1.000.0098.800.00
40LF1Bartington 3-Axis Fluxgate SensorCH1.000.008.800.00
35LDOIU Paroscientific MicrobarographCW1.
31LDOCI/PAS pressure sensorCW1.
30LDOlower quality chip sensor in Setra boxCW1.
20LN2Titan AccelerometerCG1.000.0090.000.00
20LN1Titan AccelerometerCG1.
20HN2Titan AccelerometerTG100.000.0090.000.00
20HN1Titan AccelerometerTG100.
10VMZGuralp CMG3-T Seismometer (borehole)CH0.100.000.0057.00
10VM2Guralp CMG3-T Seismometer (borehole)CH0.100.000.0057.00
10VM1Guralp CMG3-T Seismometer (borehole)CH0.100.000.0057.00
10VH2Guralp CMG3-T Seismometer (borehole)CG0.100.00333.0057.00
10VH1Guralp CMG3-T Seismometer (borehole)CG0.100.00243.0057.00
10LH2Guralp CMG3-T Seismometer (borehole)CG1.000.00333.0057.00
10LH1Guralp CMG3-T Seismometer (borehole)CG1.000.00243.0057.00
10HH2Guralp CMG3-T Seismometer (borehole)TG100.000.00333.0057.00
10HH1Guralp CMG3-T Seismometer (borehole)TG100.000.00243.0057.00
10BH2Guralp CMG3-T Seismometer (borehole)CG40.000.00333.0057.00
10BH1Guralp CMG3-T Seismometer (borehole)CG40.000.00243.0057.00
00VMZGeotech KS-54000 Borehole SeismometerCH0.100.000.00145.00
00VM2Geotech KS-54000 Borehole SeismometerCH0.100.000.00145.00
00VM1Geotech KS-54000 Borehole SeismometerCH0.100.000.00145.00
00VH2Geotech KS-54000 Borehole SeismometerCG0.100.0058.00145.00
00VH1Geotech KS-54000 Borehole SeismometerCG0.100.00328.00145.00
00LH2Geotech KS-54000 Borehole SeismometerCG1.000.0058.00145.00
00LH1Geotech KS-54000 Borehole SeismometerCG1.000.00328.00145.00
00BH2Geotech KS-54000 Borehole SeismometerCG20.000.0058.00145.00
00BH1Geotech KS-54000 Borehole SeismometerCG20.000.00328.00145.00
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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
10BH22014:0582012:073 to No Ending TimeA0.0106650.00843620.0714950.076204CMG3-T-BRandom
10BH12014:0582012:073 to No Ending TimeA0.00940360.00839850.0706260.071363CMG3-T-BRandom
10BHZ2014:0582012:073 to No Ending TimeA0.012490.0104010.0663910.074364CMG3-T-BRandom
00BHZ2014:0572012:072 to No Ending TimeA0.00763650.00608150.0678580.05753254000Random
00BH22014:0572012:072 to No Ending TimeA0.0063550.00630030.0650690.06739454000Random
00BH12014:0572012:072 to No Ending TimeA0.00800260.00643980.0657370.08107854000Random
  1. 2008-06-30
    Upgraded to Q330 digitizer.