1. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Seismic Quality Assurance Rick Benson IRIS DMC Rick Benson IRIS DMC

2. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil 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

3. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil QC at the IRIS-DMC 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. 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.

4. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Manual 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.

5. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Quick Horizontal Polarity Check The “quadrant method” allows an analyst to perform a rough check of 3-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 of 3-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. Aleutian Island event :: Texas, USA station (BA: ~317°)

6. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Automated QC at the DMC Quality 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

7. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tracking Signal RMS

8. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Daily RMS Indicates Problems

9. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tracking Signal Mean

10. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tracking Data Flow

11. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tracking STA/LTA Values

12. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil PDF of Power Spectral Density

13. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Clickable PDFs to Find Time Dependencies

14. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil PDF 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/S oftware/PDFSA.html http://geohazards.cr.usgs.gov/staffweb/mcnamara/S oftware/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/S oftware/PDFSA.html http://geohazards.cr.usgs.gov/staffweb/mcnamara/S oftware/PDFSA.html PDFs calculated daily for real-time data received at the IRIS-DMC, stored in database

15. Nov 8-17, 2009Data Management Workshop Foz do Iguassu- Brazil Tide 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)

16. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tide Comparison at IU.SAML

17. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tide Comparison at TA.H02A

18. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tide Comparison at PR.ICM

19. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tide Comparison Without Response Information

20. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Tide 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

21. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil SEED 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

22. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil verseed example output

23. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Other verseed Examples

24. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil SEED 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.

25. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil JPlotResp Usage

26. August 13-19, 2010Data Management Workshop Foz do Iguassu- BrazilData Management Workshop Foz do Iguassu- Brazil JPlotResp Console

27. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil JPlotResp Output

28. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil JPlotResp Output Per Stage

29. August 13-19, 2010Data Management Workshop Foz do Iguassu- Brazil Other Quality Control Resources QC Forum collaborative web site: http://www.iris.edu/QCForum General use QC mailing list: qc-issues@iris.washington.edu 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: qc-issues@iris.washington.edu 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