Electronic Supplement to
Management of Large Seismic Datasets: I. Automated Building and Updating using BREQ_FAST and NetDC

by Igor B. Morozov and Gary L. Pavlis

The files below contain IGeoS (http://seisweb.usask.ca/igeos) processing scripts implementing the processing of EARS data. For details of their usage, refer to Table 1 and the text of the paper.


Table S1. Processing flows implementing the automated data-management and processing procedure

# Job File Functionality
1 make_tables.job Creates all initial SQL database tables.
2 sql_usall.job Load the initial database of all U.S. stations from a dataless SEED files
3 sql_site.job, sql_sitechan.job, sql_event.job, sql_origin.job, sql_arrival.job, sql_anf_events.job, sql_anf_origins.job Loads ears.site and other CSS3.0 tables into the local SQL database. Additionally, metadata from available ANF catalogs are also loaded.
4 sql_rfs.job Loads ears.wfdisc file into SQL database and reformats multiple SAC files containing EARS receiver functions into several large files indexed by the database.
5 gates_rfs.job Summarizes all P-wave time gates found in EARS receiver functions
6 associate_rf.job Associates the receiver functions with arrivals and origins.
7 waveforms.job Creates empty waveform table for all desired channels (for example, BH*) which are available within the receiver-function time gates.
8 breq_fast.job For all unfilled waveforms, forms multiple BREQ_FAST requests and notes them in the database
9 breq_fast_mail.job If e-mail server permits, sends all new requests to IRIS DMC
10 rdseed.job For each SEED file received, converts it into gzipped ASCII SAC format by using rdseed program, archives the SEED file, and executes read_sac.job
11 read_sac.job Loads all gzipped ASCII SAC files, collates the records in large files, fully indexes them in the database, and archives the SAC files. Called from rdseed.job.
12 sort.job Using the database, creates additional tables allowing quick extraction of common-station and common-event gathers sorted by azimuths or distances.
13 map-stations.job, map-events.job, map-fold.job Create maps of all stations, events, and station fold coverage by using GMT


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