geopulse.sources.supermag
SuperMAG CSV / ASCII loader.
SuperMAG (https://supermag.jhuapl.edu) provides ground-magnetometer data from a global network of observatories in a consistent frame (baseline- subtracted N/E/Z, geographic components in nT).
Their common CSV export has:
#-prefixed comment lines at the top (metadata),one header row naming columns: at minimum
Date_UTC, IAGA, N, E, Z(may also includeGEOLAT, GEOLON, MAGLAT, MAGLON, MLT, SZA, ...),one row per (station, timestamp).
If the file contains multiple stations, a specific one can be selected by
passing iaga= or station_id= at load time; otherwise the first
station encountered is used.
References
Gjerloev, J. W. (2012). The SuperMAG data processing technique. Journal of Geophysical Research: Space Physics, 117(A9).
Classes
|
Loader for SuperMAG station CSV data. |
- class geopulse.sources.supermag.SuperMAGSource(file_path, iaga=None)[source]
Bases:
BFieldSourceLoader for SuperMAG station CSV data.
- Parameters:
Examples
>>> src = SuperMAGSource("supermag_may2024.csv", iaga="OTT") >>> b = src.load(start_s=0, end_s=86400) >>> b.station_id 'OTT'
- load(start_s=-inf, end_s=inf, dt_s=1.0, station_id='')[source]
Load a SuperMAG CSV file into a standardised
BFieldTimeSeries.- Parameters:
start_s (
float) – Time window in UNIX epoch seconds (UTC). Defaults are open.end_s (
float) – Time window in UNIX epoch seconds (UTC). Defaults are open.dt_s (
float) – Ignored — the file’s native sampling rate is used.station_id (
str) – Override for the returnedstation_idfield. If empty, the IAGA code found in the file is used.
- Return type:
- Returns:
BFieldTimeSeries – N/E/Z channels mapped directly to Bx (north) / By (east) / Bz (down), converted from nT to Tesla.
- Raises:
DataError – If the file is missing required columns or contains no rows for the selected station in the requested window.