A Least Squares Collocation approach with GOCE gravity gradients for regional Moho-estimation

Daniel Rieser, Torsten Mayer-Gürr

Research output: Contribution to conference(Old data) Lecture or PresentationResearch

Original languageGerman
Publication statusPublished - 2 May 2014
EventGeophysical Research Abstracts; EGU General Assembly 2014 - Wien, Austria
Duration: 28 Apr 20142 May 2014

Conference

ConferenceGeophysical Research Abstracts; EGU General Assembly 2014
CountryAustria
CityWien
Period28/04/142/05/14

Fields of Expertise

  • Sonstiges

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cite this

Rieser, D., & Mayer-Gürr, T. (2014). A Least Squares Collocation approach with GOCE gravity gradients for regional Moho-estimation. Geophysical Research Abstracts; EGU General Assembly 2014, Wien, Austria.

A Least Squares Collocation approach with GOCE gravity gradients for regional Moho-estimation. / Rieser, Daniel; Mayer-Gürr, Torsten.

2014. Geophysical Research Abstracts; EGU General Assembly 2014, Wien, Austria.

Research output: Contribution to conference(Old data) Lecture or PresentationResearch

Rieser, D & Mayer-Gürr, T 2014, 'A Least Squares Collocation approach with GOCE gravity gradients for regional Moho-estimation' Geophysical Research Abstracts; EGU General Assembly 2014, Wien, Austria, 28/04/14 - 2/05/14, .
Rieser D, Mayer-Gürr T. A Least Squares Collocation approach with GOCE gravity gradients for regional Moho-estimation. 2014. Geophysical Research Abstracts; EGU General Assembly 2014, Wien, Austria.
Rieser, Daniel ; Mayer-Gürr, Torsten. / A Least Squares Collocation approach with GOCE gravity gradients for regional Moho-estimation. Geophysical Research Abstracts; EGU General Assembly 2014, Wien, Austria.
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M3 - (Altdaten) Vortrag oder Präsentation

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