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 if the PyGTide package is installed.
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)
Some of the methods have been implemented for use here: groundwater.app
Groundwater head correction from Earth tides and atmospheric pressure
Estimating hydraulic conductivity (K), specific storage (Ss) and barometric efficiency (BE)
If you want to help out, please contact Gabriel Rau
Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 835852.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
