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August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Seismic Quality AssuranceSeismic Quality Assurance
Rick BensonIRIS DMC
Rick BensonIRIS DMC
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Why Routine Quality Control ?
Why Routine Quality Control ?
The sooner problems are detected the sooner they can be fixed
• Sensor malfunctions, misconfigurations, aging
• Digitizer & recorder malfunctions• Vault problems: tilting, settling, etc• Cable & connection problems• Telemetry issues• Timing problems• Many, many other potential issues
The sooner problems are detected the sooner they can be fixed
• Sensor malfunctions, misconfigurations, aging
• Digitizer & recorder malfunctions• Vault problems: tilting, settling, etc• Cable & connection problems• Telemetry issues• Timing problems• Many, many other potential issues
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
QC at the IRIS-DMCQC at the IRIS-DMCThe Challenge:
A small number of analysts tasked to perform QC on hundreds of stations and thousands of channels (without routine event review).
The Solution:Minimize manual analyst work (obviously) by automating as many measurements and monitoring systems as possible and making manual analysis as efficient as possible.
The Challenge: A small number of analysts tasked to perform QC on hundreds of stations and thousands of channels (without routine event review).
The Solution:Minimize manual analyst work (obviously) by automating as many measurements and monitoring systems as possible and making manual analysis as efficient as possible.
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Manual QC at the DMCManual QC at the DMC• Visual review of raw data for selected events and,
importantly, selections with no events• Visual review of filtered (e.g. 30-300 seconds) data
where sensor problems can sometimes be detected before they are evident in the unfiltered data
• Polarity checks using large events and the quadrant method
• Check residuals between reviewed phase picks and predicted arrivals for gross time or location errors
• Review of measurements and alerts from automated systems
• Etc.
• Visual review of raw data for selected events and, importantly, selections with no events
• Visual review of filtered (e.g. 30-300 seconds) data where sensor problems can sometimes be detected before they are evident in the unfiltered data
• Polarity checks using large events and the quadrant method
• Check residuals between reviewed phase picks and predicted arrivals for gross time or location errors
• Review of measurements and alerts from automated systems
• Etc.
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Quick Horizontal Polarity Check
Quick Horizontal Polarity Check
The “quadrant method” allows an analyst to perform a rough check of3-component sensor horizontal polarity.
Compare the P wave first motion of a relatively large event between the 3 components to determine back azimuth:
The “quadrant method” allows an analyst to perform a rough check of3-component sensor horizontal polarity.
Compare the P wave first motion of a relatively large event between the 3 components to determine back azimuth:
0º
90º
180º
270º
N out Z out
E outAll in phase
* Assumes Z component polarity is correct.* Assumes Z component polarity is correct.
Aleutian Island event :: Texas, USA station (BA: ~317°)
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Automated QC at the DMCQuality Analysis Control Kit
(QUACK)
Automated QC at the DMCQuality Analysis Control Kit
(QUACK)
• Automated QC measurements for incoming real-time data at the DMC
• Tracks a number of simple parameters (signal RMS, mean, gaps, overlaps, etc.) in addition to more complicated analyses (PSD/PDF, STA/LTA)
• Generates daily reports, using thresholds to control what information is included in the report in order to reduce the number of issues that need attention
• Automated QC measurements for incoming real-time data at the DMC
• Tracks a number of simple parameters (signal RMS, mean, gaps, overlaps, etc.) in addition to more complicated analyses (PSD/PDF, STA/LTA)
• Generates daily reports, using thresholds to control what information is included in the report in order to reduce the number of issues that need attention
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tracking Signal RMSTracking Signal RMS
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Daily RMS Indicates Problems
Daily RMS Indicates Problems
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tracking Signal MeanTracking Signal Mean
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tracking Data FlowTracking Data Flow
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tracking STA/LTA ValuesTracking STA/LTA Values
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
PDF of Power Spectral Density
PDF of Power Spectral Density
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Clickable PDFs to Find Time Dependencies
Clickable PDFs to Find Time Dependencies
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
PDF CalculationPDF Calculation• Current implementations require Mini-SEED and
SEED (RESP) system response information
• PDF calculation available in the new PQLX analysis package
• An older stand-alone PDF package is available:
http://geohazards.cr.usgs.gov/staffweb/mcnamara/Software/PDFSA.html
• PDFs calculated daily for real-time data received at the IRIS-DMC, stored in database
• Current implementations require Mini-SEED and SEED (RESP) system response information
• PDF calculation available in the new PQLX analysis package
• An older stand-alone PDF package is available:
http://geohazards.cr.usgs.gov/staffweb/mcnamara/Software/PDFSA.html
• PDFs calculated daily for real-time data received at the IRIS-DMC, stored in database
Nov 8-17, 2009 Data Management Workshop Foz do Iguassu- Brazil
Tide AnalysisTide Analysis• Primary gravitational tides are predictable• Most seismic sensors are not designed for such low frequencies
& response information may not address them• Pretty much only a true broadband sensor will record the tides
The idea: compare recorded seismic data to predicted gravitational tides
• Tests both waveform data (polarity, shape) and metadata (instrument response)
• Primary gravitational tides are predictable• Most seismic sensors are not designed for such low frequencies
& response information may not address them• Pretty much only a true broadband sensor will record the tides
The idea: compare recorded seismic data to predicted gravitational tides
• Tests both waveform data (polarity, shape) and metadata (instrument response)
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tide Comparison at IU.SAMLTide Comparison at IU.SAML
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tide Comparison at TA.H02A
Tide Comparison at TA.H02A
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tide Comparison at PR.ICMTide Comparison at PR.ICM
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tide Comparison Without Response Information
Tide Comparison Without Response Information
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Tide Prediction SoftwareTide Prediction Software
• syntides - Synthetic Earth Gravity Tides (IRIS-DMC)• Output: Mini-SEED, SAC or ASCII tide synthetics• Convolves instrument response (SAC format)• Tide calculation a port of the SPOTL ‘ertid’ program
• SPOTL - Some Programs for Ocean-Tide Loading• Output: ASCII text• Includes software to calculate solid earth gravity tide,
ocean loading components, etc.• Written by Duncan Agnew, UCSD
• syntides - Synthetic Earth Gravity Tides (IRIS-DMC)• Output: Mini-SEED, SAC or ASCII tide synthetics• Convolves instrument response (SAC format)• Tide calculation a port of the SPOTL ‘ertid’ program
• SPOTL - Some Programs for Ocean-Tide Loading• Output: ASCII text• Includes software to calculate solid earth gravity tide,
ocean loading components, etc.• Written by Duncan Agnew, UCSD
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
SEED Metadata VerficationSEED Metadata Verfication
verseed - verifies base SEED data structure and formatting (IRIS-DMC)
• Works with full SEED, dataless and Mini-SEED combined with dataless SEED (verseed -a)
• Includes multiple levels (1-4) of diagnostic information
• Basic metadata verification but not response evaluation
• C program that runs on Solaris, Linux and Mac OSX
verseed - verifies base SEED data structure and formatting (IRIS-DMC)
• Works with full SEED, dataless and Mini-SEED combined with dataless SEED (verseed -a)
• Includes multiple levels (1-4) of diagnostic information
• Basic metadata verification but not response evaluation
• C program that runs on Solaris, Linux and Mac OSX
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
verseed example outputverseed example output
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Other verseed ExamplesOther verseed Examples
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
SEED Response EvaluationSEED Response Evaluation
evalresp - evaluates system amplitude and phase response using SEED RESP format. C program that runs on Solaris, Linux & Mac OSX.
JEvalResp - Java version of evalresp, runs anywhere Java is available. Reads either SEED RESP format or fetches response information from a DHI server.
JPlotResp - evaluates and plots system amplitude and phase response using SEED RESP format. Reads either SEED RESP format or fetches response information from a DHI server.
evalresp - evaluates system amplitude and phase response using SEED RESP format. C program that runs on Solaris, Linux & Mac OSX.
JEvalResp - Java version of evalresp, runs anywhere Java is available. Reads either SEED RESP format or fetches response information from a DHI server.
JPlotResp - evaluates and plots system amplitude and phase response using SEED RESP format. Reads either SEED RESP format or fetches response information from a DHI server.
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
JPlotResp UsageJPlotResp Usage
August 13-19, 2010
Data Management Workshop Foz do Iguassu- BrazilData Management Workshop Foz
do Iguassu- Brazil
JPlotResp ConsoleJPlotResp Console
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
JPlotResp OutputJPlotResp Output
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
JPlotResp Output Per StageJPlotResp Output Per Stage
August 13-19, 2010
Data Management Workshop Foz do Iguassu- Brazil
Other Quality Control Resources
Other Quality Control Resources
• QC Forum collaborative web site:
http://www.iris.edu/QCForum
• General use QC mailing list:
• New Manual of Seismological Observatory Practice (NMSOP) from IASPEI:
http://www.gfz-potsdam.de/bib/nmsop_formular.html
• PQLX data analysis system (waveforms & PDFs):
http://geohazards.cr.usgs.gov/staffweb/mcnamara/Software/PQLX.html
• QC Forum collaborative web site:
http://www.iris.edu/QCForum
• General use QC mailing list:
• New Manual of Seismological Observatory Practice (NMSOP) from IASPEI:
http://www.gfz-potsdam.de/bib/nmsop_formular.html
• PQLX data analysis system (waveforms & PDFs):
http://geohazards.cr.usgs.gov/staffweb/mcnamara/Software/PQLX.html