PNWstore: Pacific Northwest Storage

This is a python-based seismic data query and selection toolbox for Denolle-lab members. The server runs at https://pnwstore1.ess.washington.edu/ and is only accessible within the UW network. More details about the data and the server can be found in the documentation.

What data are in pnwstore?

• mseed data from PNW (1980 - 2023)
• network metadata (1980 - 2022)
  • network list
• earthquake catalog contributed by
  • Pacific Northwest Seismic Network (1980-2022)
• list of known data issues could be found here.

Why use this package?

1. The waveforms stored in .mseed are indexed with mseedindex, which would dramatically improve data loading efficiency. This is very useful especially when working with large amounts of data.
2. .xml files contain all events and station metadata, but loading and parsing them requires extra time. It is recommended to extract key informations and index them in a database system.
3. The pnwstore client emulates the ObsPy FDSN client so that transition to the local data requires little changes to the codebase.

Usage

Get waveform data

from obspy import UTCDateTime
from pnwstore import WaveformClient
client = WaveformClient()

starttime = UTCDateTime("2020-01-01T00:00:00")
endtime = starttime + 3600
s = client.get_waveforms(network="UW", station="SHW", channel="EH?",
                         starttime=starttime, endtime=endtime)

Get event catalog

from obspy import UTCDateTime
from pnwstore import EventClient

client = EventClient(USERNAME, PASSWORD)

client.query(mintime = UTCDateTime("1980-01-01T00:00:00"),
             maxtime = UTCDateTime("2021-01-01T00:00:00"),
             minlatitude = 40,    maxlatitude = 50,
             minlongitude = -128, maxlongitude = -120,
             minmagnitude = 5.9)

# A pandas DataFrame is returned.
#   source_id   origin_timestamp year month day doy hour minute second  microsecond latitude longitude  depth  magnitude contributor number_of_pick
# 0 uw10313718  748582000.0      1993 9     21  264 3    26     55      630000      42.316    -122.027  8.560  5.9       uw          380
# 1 uw10313838  748590000.0      1993 9     21  264 5    45     35      230000      42.358    -122.058  8.530  6.0       uw          427
# 2 uw10530748  983386000.0      2001 2     28  59  18   54     32      830000      47.149    -122.727  51.798 6.8       uw          98

Get picks

from obspy import UTCDateTime
from pnwstore import PickClient

client = PickClient(USERNAME, PASSWORD)

client.query(network = "UW", station = "SHW", phase = "P*",
             mintime = UTCDateTime("2000-01-01"),
             maxtime = UTCDateTime("2000-01-10"))

# A pandas DataFrame is returned.
#   pick_id   source_id network station location channel    timestamp  year month day doy  hour  minute  second  microsecond phase evaluation_mode uncertainty  backazimuth contributor
# 0 1133412  uw10485733      UW     SHW       --     EHZ  947343000.0  2000   1    8    8    14      57      23       680000     P          manual   0.05         79.0          UW
# 1 1133508  uw10485213      UW     SHW       --     EHZ  947142000.0  2000   1    6    6     6      52      56       790000     P          manual   0.08         63.6          UW
# 2 1133612  uw10484688      UW     SHW       --     EHZ  946890000.0  2000   1    3    3     9       0      14       280000     P          manual   0.22        222.1          UW

Get station metadata

from obspy import UTCDateTime
from pnwstore import StationClient

client = StationClient(USERNAME, PASSWORD)
client.query(network = "UW", channel = "EH?",
             mintime = UTCDateTime("2010-01-15"),
             maxtime = UTCDateTime("2000-01-16"))

# A pandas DataFrame is returned.
#    channel_id network station location channel  latitude  longitude elevation  depth     starttime       endtime sampling_rate azimuth
# 0       45376      UW     SHW       --     EHZ   46.1935   -122.236   1425.00   0.00   867283200.0  1207008000.0      100.0000    None
# 1       45377      UW     SHW       --     EHZ   46.1935   -122.236   1425.00   0.00  1207008000.0  1536105600.0      100.0000    None

Reference

• https://pnsn.org
• https://ds.iris.edu/ds/nodes/dmc/
• https://earthquake.usgs.gov/data/comcat/
• https://github.com/iris-edu/mseedindex