HydroGeoSines
Estimation of subsurface properties from standard groundwater pressure data
HydroGeoSines (HGS) is a Python package that allows easy calculation of Barometric Efficiency (BE) and Barometric Response Functions (BRF) from standard groundwater monitoring datasets. This includes correction of groundwater heads that are affected by barometric and Earth tide influences. BE estimations include time-domain and frequency-domain solutions. BRF analysis is based on regression deconvolution allowing either the use of Earth tide time series or automatic estimation of the Earth tide signal. The implemented methods are based on peer-reviewed literature or expert technical reports. A number of useful pre-processing routines are also implemented. These include import, alignment and gap handling of groundwater, barometric pressure and Earth tide time series. Automatic pressure unit conversion to and from any accepted standard is handled. HGS can further automatically add theoretical Earth tides for any location on Earth because because it includes the PyGTide package.
Developed by:
- Gabriel C. Rau - Karlsruhe Institute of Technology (Germany)
- Daniel Schweizer - Karlsruhe Institute of Technology (Germany)
- Chris Turnadge - CSIRO Adelaide (Australia)
- Todd Rasmussen - University of Georgia (USA)