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Changes for page FDSN Guide

Last modified by robert on 2025/03/24 12:02
From version 1.2
edited by robert
on 2025/03/24 10:05
Change comment: There is no comment for this version
To version 2.3
edited by robert
on 2025/03/24 10:21
Change comment: There is no comment for this version

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... ... @@ -27,7 +27,7 @@
27 27  
28 28  = Station Metadata =
29 29  
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30 +Information such as site locations, sensor and data logger types, response information, etc are in the station metadata. This can be accessed directly(link) or via the obspy get_stations (link) tool.
31 31  
32 32  
33 33  == Sub-paragraph ==
... ... @@ -41,10 +41,204 @@
41 41  
42 42  = Waveform Data =
43 43  
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44 +Waveform data (e.g. the actual seismic data) can be accessed directly (link) or via obspy's get_waveforms (link) tool. It can also be accessed via various tools such as seed-vault, pyweed, etc (add links).
45 45  
46 -== Sub-paragraph ==
46 +== How to download waveform data ==
47 47  
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48 +{{code language="python"}}
49 +from obspy import UTCDateTime
50 +from obspy.clients.fdsn import Client
49 49  
52 +# Initialize the FDSN client (you can also specify other data centers)
53 +client = Client("AUSPASS")
54 +
55 +# Event information
56 +network = "S1"
57 +station = "AUGRF"
58 +starttime = UTCDateTime("2021-09-21T23:15:53") # The time of the earthquake
59 +endtime = starttime + 360 # One hour of data after the earthquake
60 +
61 +# Download the MiniSEED data
62 +st = client.get_waveforms(network=network, station=station, location="*", channel="BHZ",
63 + starttime=starttime, endtime=endtime)
64 +# Save the stream to a MiniSEED file
65 +st.write("Woodspoint_2021.mseed", format="MSEED")
66 +print("Downloaded and saved the MiniSEED file.")
67 +{{/code}}
68 +
69 +== How to remove instrument response ==
70 +
71 +{{code language="python"}}
72 +from obspy import read
73 +from obspy.core.util import AttribDict
74 +
75 +# Load the MiniSEED file
76 +st = read("Woodspoint_2021.mseed")
77 +
78 +# Download the instrument response
79 +inv = client.get_stations(network=network, station=station, location="*",
80 + channel="*", starttime=starttime, endtime=endtime,
81 + level="response")
82 +
83 +# Remove the instrument response
84 +output = 'VEL' # Output unit ('VEL' = velocity (default), 'DISP' = displacement, 'ACC' = acceleration)
85 +
86 +for tr in st:
87 + tr.remove_response(inventory=inv, output=output, plot=True)
88 +
89 +# Save the corrected MiniSEED file
90 +st.write("Woodspoint_2021_corrected.mseed", format="MSEED")
91 +{{/code}}
92 +
93 +== How to apply a bandpass filter ==
94 +
95 +{{code language="python"}}
96 +from obspy import read
97 +
98 +# Load the MiniSEED file
99 +st = read("Woodspoint_2021.mseed")
100 +
101 +# Define the frequency band
102 +freq_min = 0.1 # Minimum frequency in Hz
103 +freq_max = 1.0 # Maximum frequency in Hz
104 +
105 +# Apply the bandpass filter
106 +for tr in st:
107 + tr.filter(type='bandpass', freqmin=freq_min, freqmax=freq_max)
108 +
109 +# Save the filtered MiniSEED file
110 +st.write("Woodspoint_2021_filtered.mseed", format="MSEED")
111 +{{/code}}
112 +
113 +== How to slice a waveform ==
114 +
115 +{{code language="python"}}
116 +from obspy import read, UTCDateTime, Stream # Importing Stream here
117 +
118 +# Load the filtered MiniSEED file
119 +st = read("Woodspoint_2021_filtered.mseed")
120 +
121 +# Define the time window for slicing
122 +slice_start = UTCDateTime("2021-09-21T23:20:00")
123 +slice_end = slice_start +10
124 +
125 +# Slice the waveform for each Trace in the Stream
126 +sliced_st = Stream() # Now Stream is defined
127 +for tr in st:
128 + sliced_tr = tr.slice(starttime=slice_start, endtime=slice_end)
129 + sliced_st.append(sliced_tr)
130 +
131 +# Save the sliced MiniSEED file
132 +sliced_st.write("Woodspoint_2021_filtered_sliced.mseed", format="MSEED")
133 +{{/code}}
134 +
135 +== How to save a waveform ==
136 +
137 +{{code language="python"}}
138 +# Save the sliced file as MiniSEED
139 +sliced_st.write("Woodspoint_2021_filtered_sliced.mseed", format="MSEED")
140 +
141 +# Or, save the sliced SAC file
142 +sliced_st.write("Woodspoint_2021_filtered_sliced.sac", format="SAC")
143 +{{/code}}
144 +
145 +== How to convert miniseed to sac ==
146 +
147 +{{code language="python"}}
148 +from obspy import read
149 +
150 +# Read the MiniSEED file
151 +st = read("Woodspoint_2021.mseed")
152 +
153 +# Take the first Trace from the Stream
154 +tr = st[0]
155 +
156 +# Save that Trace as a SAC file
157 +tr.write("Woodspoint_2021.sac", format="SAC")
158 +{{/code}}
159 +
160 +
50 50  = Earthquake Data =
162 +
163 +
164 +== How to download an Earthquake Catalog ==
165 +
166 +{{code language="python"}}
167 +from obspy.clients.fdsn import Client
168 +from obspy import UTCDateTime
169 +
170 +# Initialize the AusPass FDSN client
171 +client = Client("AUSPASS")
172 +
173 +# Define the time range for the earthquake catalog
174 +start_time = UTCDateTime("2021-08-01")
175 +end_time = UTCDateTime("2022-01-01") # End of year
176 +
177 +# Define the geographic region (latitude and longitude for Woodspoint, Victoria, Australia)
178 +latitude = -37.47
179 +longitude = 146.10
180 +max_radius = 5 # in degrees
181 +
182 +# Download the earthquake catalog
183 +catalog = client.get_events(starttime=start_time, endtime=end_time,
184 + minmagnitude=2, latitude=latitude, longitude=longitude,
185 + maxradius=max_radius)
186 +
187 +# Save the catalog to a file (e.g., QuakeML format)
188 +catalog.write("Woodspoint_earthquakes.xml", format="QUAKEML")
189 +{{/code}}
190 +
191 +== How to plot (Global) Earthquakes ==
192 +
193 +{{code language="python"}}
194 +from obspy import UTCDateTime
195 +from obspy.clients.fdsn import Client
196 +
197 +# Initialize FDSN client to connect to the IRIS data center
198 +client = Client("IRIS")
199 +
200 +# Set the time range for fetching earthquake data
201 +# Start time: January 1, 2023
202 +# End time: Current time
203 +starttime = UTCDateTime("2023-01-01")
204 +endtime = UTCDateTime()
205 +
206 +# Fetch earthquake events with a minimum magnitude of 7
207 +catalog = client.get_events(starttime=starttime, endtime=endtime, minmagnitude=7)
208 +#client.get_events(). This function returns a Catalog object that contains a list of Event objects.
209 +#Each Event object, in turn, has an Origins attribute that contains the depth information
210 +
211 +# Plot the fetched earthquake data using an orthographic projection
212 +catalog.plot(projection="ortho", title="Global Earthquakes with Magnitude >= 7 since 2023")
213 +#catalog.plot(), ObsPy automatically uses the depth information to color the events in the plot
214 +{{/code}}
215 +
216 +== How to plot (Local) Earthquakes ==
217 +
218 +{{code language="python"}}
219 +from obspy import UTCDateTime
220 +from obspy.clients.fdsn import Client
221 +
222 +# Initialize FDSN client
223 +client = Client("AUSPASS")
224 +
225 +# Define time range
226 +starttime = UTCDateTime("2023-01-01")
227 +endtime = UTCDateTime()
228 +
229 +# Latitude and longitude bounds for Australia
230 +minlatitude = -44.0
231 +maxlatitude = -10.0
232 +minlongitude = 113.0
233 +maxlongitude = 154.0
234 +
235 +# Fetch event data for Australia with a minimum magnitude
236 +catalog = client.get_events(starttime=starttime, endtime=endtime, minmagnitude=4,
237 + minlatitude=minlatitude, maxlatitude=maxlatitude,
238 + minlongitude=minlongitude, maxlongitude=maxlongitude)
239 +
240 +# Plot the earthquakes
241 +catalog.plot(projection="local", title="Australia Earthquakes", resolution="i")
242 +{{/code}}
243 +
244 +