PeterMakus / SeisMIC

SeisMIC is a python software suite to monitor velocity changes using ambient seismic noise.
https://petermakus.github.io/SeisMIC/
European Union Public License 1.2
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Correlating data from various locations #65

Closed PeterMakus closed 2 weeks ago

PeterMakus commented 3 months ago

Problem

Currently, CorrDB does not differ between data from various locations.

Proposed solution

The probably easiest way to implement this into the current framework would be to create an additional subgroup in the hdf5 files, in the sense that the current hdf5 tree would be updated to net0-net1/stat0-stat1/loc0-loc1/cha0-cha1.

Important is to allow for backward compatibility with the old hdf5 structure. probably only possible by allowing for both file structures in the params.yaml.

miic-sw commented 3 months ago

Hi Peter,

ich bin wieder im Büro. Über dieses Thema müssen wir noch mal genauer sprechen.

Viele Grüße Christoph

Christoph Sens-Schönfelder Sektion 2.4, Seismologie Building A46, Room 101 Tel.: +49 (0)331/6264-28705 Fax: +49 (0)331/6264-1277 Email: @.***


Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum GFZ Stiftung des öff. Rechts Land Brandenburg Telegrafenberg, 14473 Potsdam

Am 08.04.2024 um 10:33 schrieb Peter Makus @.***>:

Problem Currently, CorrDB does not differ between data from various locations. Proposed solution The probably easiest way to implement this into the current framework would be to create an additional subgroup in the hdf5 files, in the sense that the current hdf5 tree would be updated to net0-net1/stat0-stat1/loc0-loc1/cha0-cha1. Important is to allow for backward compatibility with the old hdf5 structure. probably only possible by allowing for both file structures in the params.yaml. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

PeterMakus commented 2 weeks ago

implemented in v0.6.0 (currently only available on dev branch). Documentation still needs to be updated accordingly.