archive-edu.com » EDU » W » WASHINGTON.EDU

Total: 718

Choose link from "Titles, links and description words view":

Or switch to "Titles and links view".
  • Overview - PRESTo Early Warning System - IRIS SeisCode
    data for P waves arrival detection These data can be streamed from a SeisComP server or directly from the the stations via the SeedLink protocol as well as from SAC files in play back mode While a real or simulated event is occurring the software promptly performs event detection and provides location and magnitude estimates as well as shaking predictions at target sites Alarm messages containing the evolutionary estimates of source and target parameters sent over the internet can thus reach vulnerable infrastructures at a distance before the destructive waves enabling the initiation of automatic safety procedures This regional approach to Early Warning is integrated with an on site threshold based method for the definition of independent local alert levels at each station based on the dominant period τc and the peak displacement in a short time window after the first P arrival time The alert level can be used to initiate safety measures at each site independently of the regional processing The local alert levels can be combined with the estimated source parameters to define at the regional scale the extent of the Potential Damage Zone PDZ i e the area in which the highest intensity levels are expected

    Original URL path: https://seiscode.iris.washington.edu/projects/prestoews (2015-06-03)
    Open archived version from archive

  • Overview - Pasture - IRIS SeisCode
    Wiki Files Overview System for determining what mustang measurements need to be calculated or recalculated in Mustang Category Data Processing Language Java Keywords mustang staleness recalculation metric metrics target targets Members Manager Bruce Weertman Mary Templeton Rick Benson Robert Casey Sarah Ashmore Developer Adam Clark Alexander Hutko Andrew Cooke Bruce Weertman Celso Reyes Chad Trabant David Ketchum Gillian Sharer Jonathan Callahan Manochehr Bahavar Mary Templeton MOHAMMED TAHER Rick Benson Rob

    Original URL path: https://seiscode.iris.washington.edu/projects/pasture (2015-06-03)
    Open archived version from archive

  • Overview - Earthworm - IRIS SeisCode
    processing software package for generating automated earthquake locations and magnitudes Over 150 institutions have registered installations of Earthworm for collecting all of their seismic data and producing automated earthquake locations The Earthworm system is a robust and mature software tool with almost 20 years of development and design started in 1993 written in the C programming language Earthworm has been designed with a layered approach to allow it to run on any platform including Windows Numerous wrappers have been written around Earthworm to provide higher level post processing of Earthquake data e g AQMS EarlyBird etc In addition to seismology Earthworm s data acquisition and management capabilities have been used for other waveform technologies including Infra sound Geomagnetic and Atmospheric measurements While Earthworm is completely Open Source there are also several providers of commercial support for Earthworm as well eg ISTI http www isti com OSOP The latest version released in November 2012 is 7 6 A new version is in progress as of this writing Homepage http www earthwormcentral org Category Data Processing Language C C Keywords Windows Mac OS X Linux Solaris Unix Automated Earthquake Location SAC MSEED AH SEG2 CSS SEISAN Hypoinverse Citation 1995 http www iris

    Original URL path: https://seiscode.iris.washington.edu/projects/earthworm (2015-06-03)
    Open archived version from archive

  • Overview - Station Analysis Tools - IRIS SeisCode
    Station Analysis Tools Overview Wiki Files Overview Command line tools to compute power spectral densities coherence pole zero responses and probability density functions such as PQLX or IRIS Quack Category Data Processing Language C C Keywords PSD PDF coherence pole

    Original URL path: https://seiscode.iris.washington.edu/projects/station-analysis-tools (2015-06-03)
    Open archived version from archive

  • Overview - Noise Toolkit PDF/PSD bundle - IRIS SeisCode
    from their local files This package provides PSD file collections similar to popular PQLX package McNamara and Boaz 2005 and therefore it is compatible with existing user programs see the Wiki page The scripts included in this bundle are ntk computePSD py a Python script to request waveforms and response data for given station s using the ObsPy FDSN client OR to read user s waveform data files in SAC MSEED CSS etc format compute PSDs and populate a file based PSD database ntk extractPsdHour py a Python script to extract PSDs for a given channel and bounding parameters from the PSD database The output is similar to PQLX s exPSDhour script ntk binPsdDay py a Python script to bin PSD s to daily files for a given channel and bounding parameters The output of this scripts is similar to what is available from IRIS PDF PSD Bulk Data Delivery System The Noise Toolkit PSD computation flowchart is shown below click on image for a larger view At each stage the computation is controlled by user parameter file Waveform data are either requested directly through the FDSN web services or are read directly from user data files For the latter a call is made to the response services to obtain the instrument response information Contributions We welcome patches and enhancements to this software When developing patches please pay particular attention to ease of use and maintenance and also keep dependencies to a minimum contact the project References McNamara D E and R I Boaz Seismic Noise Analysis System Power Spectral Density Probability Density Function Stand Alone Software Package United States Geological Survey Open File Report NO 2005 1438 30p 2005 Credits IRIS DMC Products Team Keith Koper University of Utah Rob Anthony and Rick Aster New Mexico Tech and Colorado

    Original URL path: https://seiscode.iris.washington.edu/projects/noise-toolkit-pdf-psd-bundle (2015-06-03)
    Open archived version from archive

  • Overview - Noise Toolkit Microseism Energy (ME) bundle - IRIS SeisCode
    over 1 5 s band targeting smaller local storms for coastal stations 5 10 s for the secondary microseisms 11 30 s for the primary microseisms and the 50 200 s band for the Earth hum using PSDs of three component broadband seismic data BH channels The stored microseism energy values will be smoothed using a median sliding time window e g 6 hours 12 hours 1 day 4 days and 16 days etc Figure below is a sample of 6 hour median microseism energy temporal variations plot of the BHZ channel at GSN stations IU GUMO for the secondary microseism period band of 5 to 10 seconds as affected by the passage of Typhoon Vongfong formed on October 2 2014 and dissipated on October 18 2014 For more examples visit Microseism Energy Quick Look MEQL highlights The scripts included in this bundle are ntk computePower py a Python script to calculate power of each PSD window by default 1 hour over selected bin period bands ntk medianPower py a Python script to calculates median power from the PSD powers by default hourly PSD power using a sliding window of a given length e g 12 hours ntk plotPower py

    Original URL path: https://seiscode.iris.washington.edu/projects/noise-toolkit-microseism-energy-me-bundle (2015-06-03)
    Open archived version from archive

  • Overview - IRIS DMC Noise Toolkit - IRIS SeisCode
    parameters Noise Toolkit PDF PSD bundle compute microseism energy from PSDs at different frequency bands Noise Toolkit Microseism Energy bundle https seiscode iris washington edu projects noise toolkit microseism energy me bundle perform frequency dependent polarization analysis of the waveform data Noise Toolkit Polarization Analysis bundle Credits IRIS DMC Products Team Keith Koper University of Utah Rob Anthony and Rick Aster New Mexico Tech and Colorado State University Subprojects Noise

    Original URL path: https://seiscode.iris.washington.edu/projects/iris-dmc-noise-toolkit (2015-06-03)
    Open archived version from archive

  • Overview - PH5 - IRIS SeisCode
    is the software package that the PIC are working on that will be housed at the DMC It allows assembled data in SEG Y and SAC formats to be retrieved and downloaded via a web interface Subprojects PH5 Web Service Interfaces Category Data Processing Language Python Keywords ph5 hdf5 passcal instrument center pic iris dmc Issue tracking Bug 10 open 12 Feature 2 open 3 Support 1 open 2 View

    Original URL path: https://seiscode.iris.washington.edu/projects/ph5 (2015-06-03)
    Open archived version from archive



  •