2026-05-14T18:29:39Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:70632021-09-30T06:37:08ZDOIDBDOIDB.GFZfalse4DOIDB.GFZ
10.5880/GFZ.4.4.2021.002
Reich, Marvin
Marvin
Reich
0000-0001-7301-2094
GFZ German Research Centre for Geosciences, Potsdam, Germany
gravityInf - inverse hydrological modeling based on gravity observations to evaluate dominant infiltration and subsurface re-distribution processes
GFZ Data Services
2021
R
Hydrogravimetry
iGrav
terrestrial gravimetry
electrical resistivity tomography
sub surface processes
soil moisture
inverse modelling
EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD
Reich, Marvin
GFZ German Research Centre for Geosciences, Potsdam, Germany
Software
DOI of paper when available
https://github.com/marcianito/gravityInf
10.5880/GFZ.4.4.2021.001
1.0
GNU General Public License Version 3 (29 June 2007); Copyright (C) 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
gravityInf is a small R-package which aims at supporting the anaylsis of a sprinkling (infiltration) experiment in combination with simultaneous and continious gravity measurements, presented in the above mentioned paper. With this package you can easily walk through the necessary steps in order to set up an infiltration scenario, maybe based on your own sprinkling / irrigation experiment and carry out simple hydrological modelling of water distribution in 3D in the subsurface. An observed gravity time series is needed for the model in order to fit and thus identify the dominant infiltration process for your research area. A model functionality and limitations can be found in Reich et al. (2021), the associtated data was published by Reich et al. (2021, https://doi.org/10.5880/GFZ.4.4.2021.001).