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PSD.README
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----------------------------------------------------------------------------------------------------------------------------------------
Incorporated Research Institutions for Seismology (IRIS)
Data Management Center (DMC)
Data Products Team
Noise Toolkit PDF/PSD scripts package
V.2.0.0 2020-11-16
----------------------------------------------------------------------------------------------------------------------------------------
Copyright (C) 2020 Product Team, IRIS Data Management Center
This bundle is provided by the IRIS DMC Data Products Team WITHOUT ANY WARRANTY AND/OR SUPPORT
This is a free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation; either version 3 of the
License, or (at your option) any later version.
This script is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License (GNU-LGPL) for more details. The
GNU-LGPL and further information can be found here:
http://www.gnu.org/
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see http://www.gnu.org/licenses/.
DESCRIPTION:
This package contains a series of Python 3 scripts to:
- read waveforms for given network/station/location/channels from local files
- request/read waveforms for given network/station/location/channels using the obspy FDSN client
- compute and populate an hourly "PSD database"
- extract PSDs and PDFs from the "PSD database"
INSTALLATION:
see INSTALL.txt
RUNNING THE SCRIPTS:
see the package Wiki page for instructions and examples:
https://github.com/iris-edu/noise-toolkit/wiki/Noise-Toolkit-PDF-PSD-package-V.2
NOTES
- for more information:
. visit data product's web page at:
http://ds.iris.edu/ds/products/noise-toolkit-pdf-psd/
. visit data product's Wiki page at:
https://github.com/iris-edu/noise-toolkit/wiki/Noise-Toolkit-PDF-PSD-package-V.2
HISTORY
- 2020-11-16 V.2.0.0: Python 3, use of Fedcatalog, adoption of CSD changes and adoption of PEP 8 style guide.
- 2019-09-09 Robert Anthony (USGS, Albuquerque Seismological Laboratory):
Using CSD to compute the cross spectral density of two signals
- 2017-01-18 V.0.9.5: support for reading data and metadata from files only with no Internet requirement
- 2016-11-01 V.0.9.0: added support for obtaining channel responses from local station XML response files by introducing the following two functions in tsLIB.py:
getResponseInventory - to build a list of response inventories under a given met directory
getResponseFromFile - to find response for a given Network, Station, Location and channel
added respDirectory to common.py parameter file to disable looking for response files on local drives, set this parameter to None. Otherwise, set it to the response directory path
- 2016-01-25 V.0.8.2: added polarization parameters to common.par and also made changes to some libraries in support of the polarization bundle
added user and password parameters to common.par and ntk_computePSD.py in support of restricted data access
- 2015-04-30 V.0.8.1: added powerDirectory and imageDirectory parameters to common.par in support of ME bundle.
- 2015-04-07 V.0.8.0: now produces clear messages for missing parameters in the parameter file. Addresses reported maximum period values. Minor bugs and enhancements
- 2015-02-24 V.0.7.0: introduced two new parameters (performInstrumentCorrection, applyScale) to allow user avoid instrument correction also now user can turn od decon. filter
- 2014-11-24 V.0.6.2: documentation update and expansion of the common.py file to support Microseism Energy bundle
- 2014-10-16 V.0.6.0: ntk_extractPsdHour.py output file name now includes the x-axis type
- 2014-10-01 V.0.5.0: initial Beta release. Made the smoothing configurable, reorganized parameters for easier maintenance
- 2014-05-20 modified the output format to:
1. compute hourly PSDs and store them under the psdDb directory (this will be similar to PQLX’s database) as basis for script outputs
2. provide the extractPsdHourly.py script to extract PSD's for a given channel and bounding parameters. The output is similar to PQLX's exPSDhour script
3. provide the extractPdf.py that will extract PSDs to create (hourly and daily) PDFs for a given channel and bounding parameters.
The output is similar to the current PDF output from the PDF-PSD data product (http://ds.iris.edu/ds/products/pdf-psd/)
Users should be able to use the above outputs with their existing scripts that work with the PQLX and Quack outputs (hourly bin files have hour-minute
as the first column to avoid cross-reference to hour.bin file of Quack
- 2014-03-19: Added data file input option
- 2014-03-07: Initial Alpha release
COMMENTS/QUESTIONS:
Please contact manoch@iris.washington.edu