The MagPySV (Cox et al., 2018) processes the geomagnetic field data served by the Edinburg World Data Centre and presents the hourly Secular Variation (SV). This package applies the correction to the baseline and optionally removes outliers in the geomagnetic field caused by solar disturbances. Further to that this package is capable of noise reduction using Principal Component Analysis (PCA) of the covariance matrix of residuals between observed and predicted geomagnetic field.
We understand that the earthquakes influence ionospheric and geomagnetic fields disturbances. Moreover, changes in the ionosphere (Imtiaz and Marchand, 2012) and geomagnetic fields (More details at https://geomag.usgs.gov/research/geomagnetism-earthquakes.php) can predict the earthquakes. Since MagPySV presents a robust and statistically validated geomagnetic secular variation data, it shall improve our ability to predict the earthquake.
MagPySV is an Open Source package. Modified source code shall find application in denoising and baseline correction of any time series data in the Earth Sciences. Some of the applications are in hydrology (river flow modelling and derivation of base flow), suspended sediment transport, river water quality, instrumental analysis (where baseline correction and outlier detection are very much necessary), and wave dynamics (on the seashore).
References:
Cox, G.A., Brown, W.J., Billingham, L., Holme, R., 2018. MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data. Geochem. Geophys. Geosyst. 19, 3347–3363. https://doi.org/10.1029/2018GC007714
Imtiaz, N., Marchand, R., 2012. Modeling of ionospheric magnetic field perturbations induced by earthquakes: MAGNETIC FIELD PERTURBATIONS. J. Geophys. Res. 117, n/a-n/a. https://doi.org/10.1029/2011JA017475
We understand that the earthquakes influence ionospheric and geomagnetic fields disturbances. Moreover, changes in the ionosphere (Imtiaz and Marchand, 2012) and geomagnetic fields (More details at https://geomag.usgs.gov/research/geomagnetism-earthquakes.php) can predict the earthquakes. Since MagPySV presents a robust and statistically validated geomagnetic secular variation data, it shall improve our ability to predict the earthquake.
MagPySV is an Open Source package. Modified source code shall find application in denoising and baseline correction of any time series data in the Earth Sciences. Some of the applications are in hydrology (river flow modelling and derivation of base flow), suspended sediment transport, river water quality, instrumental analysis (where baseline correction and outlier detection are very much necessary), and wave dynamics (on the seashore).
References:
Cox, G.A., Brown, W.J., Billingham, L., Holme, R., 2018. MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data. Geochem. Geophys. Geosyst. 19, 3347–3363. https://doi.org/10.1029/2018GC007714
Imtiaz, N., Marchand, R., 2012. Modeling of ionospheric magnetic field perturbations induced by earthquakes: MAGNETIC FIELD PERTURBATIONS. J. Geophys. Res. 117, n/a-n/a. https://doi.org/10.1029/2011JA017475
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