Disturbing Potential from Deflections of the Vertical: From Globally Reflected Surface Gradient Equation to Locally Oriented Multiscale Modeling Multiscale modeling
- Willi FreedenAffiliated withGeomathematics Group, University of Kaiserslautern Email author
- , Christian GerhardsAffiliated withComputational Science Center, University of Vienna
- , Helga NutzAffiliated withGeomathematics Group, University of Kaiserslautern
- , Michael SchreinerAffiliated withInstitute for Computational Engineering ICE, University of Buchs
- Deflection of the Vertical
Difference between the direction of the normal vector associated with the reference potential and the normal vector associated with the (actual) gravity potential.
- Disturbing Potential
Difference between the normal potential and the true (measured) potential.
The force of gravity, i.e., the resultant of gravitational and centrifugal force, provides a directional structure to the space above the Earth’s surface. It is tangential to the vertical plumb lines and perpendicular to all (level) equipotential surfaces. Any water surface at rest is part of a level surface. Level (equipotential) surfaces are ideal reference surfaces, for example, for heights. The geoid is defined as that level surface of the gravity field which best fits the mean sea level. Gravity vectors can be measured by absolute or relative gravimeters. The highest accuracy relative gravity measurements are ...
Reference Work Entry Metrics
- 2016 (Latest)
- Disturbing Potential from Deflections of the Vertical: From Globally Reflected Surface Gradient Equation to Locally Oriented Multiscale Modeling Multiscale modeling
- Reference Work Title
- Encyclopedia of Geodesy
- pp 1-10
- Online ISBN
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- Industry Sectors
- eBook Packages
- Erik Grafarend (1)
- Editor Affiliations
- 1. Geodetic Institute, University of Stuttgart
- Author Affiliations
- 2. Geomathematics Group, University of Kaiserslautern, Kaiserslautern, Germany
- 3. Computational Science Center, University of Vienna, Vienna, Austria
- 4. Institute for Computational Engineering ICE, University of Buchs, Buchs, Switzerland
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