readme.md

In marcianito/gravitySynth: Errors due to global gravity correction methods

Repository containing scripts related to Mikolaj and Reich., (2018, ???) publication

Article: Michal Mikolaj1, Marvin Reich1: TITLE, published in: ???, 2018

Affiliation 1Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany

Please cite this article when using here provided scripts

Description

This is a small R-package which aims at supporting the synthetic uncertainty and error anaylsis about gravity component time series, presented in the above mentioned paper. With this package you can..

For bug fixes, comments or further development please contact: [e-mail].

Installation

1. Start R

2. Install package-dependence via devtools: devtools::install_github("marcianito/UmbrellaEffect") devtools::install_github("marcianito/gravityInf")

3. Install package via devtools: devtools::install_github("marcianito/gravitySynth")

4. load packages: library(UmbrellaEffect); library(gravityInf); library("marcianito/gravitySynth")

Dependencies

Computationally

• r-base version 3.3.1
• for further dependencies of UmbrellaEffect package, please visit here
• for further dependencies of UmbrellaEffect package, please visit here
• following R-packages: devtools, dplyr, ggplot2, gstat, ncdf4, viridis, zoo, ...
• system libraries for devtools

in debian install using: apt-get update && apt-get install libssl-dev

Data-wise

It is necessary to have hourly time series of following gravity components: Atmosphere Non tidal ocean loading Global hydrology Tides Precipitation Discharge * Evapotranspiration

Furthermore a digital elevation model (DEM) of the surroundings of the gravimeter is needed.

Processing

.. comming soon ..

marcianito/gravitySynth documentation built on May 14, 2019, 2:03 a.m.