Improvement of source model parameter estimations through the use of multiple datasets and full data autocovariance: An application to the Kleifarvatn earthquake, Iceland

Henriette Sudhaus*, Sigurjón Jónsson, Steffen Knospe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The moderate Kleifarvatn earthquake on Reykjanes Peninsula, Iceland, has already been studied by three different authors using InSAR and GPS geodetic data, resulting in significantly different fault models of the event. In this paper we compare these studies by reproducing the modelling set ups and by estimating the model parameter uncertainties of each case. Based on this comparison we demonstrate the benefit of using InSAR data from opposing look directions in suppressing fault parameter trade-offs. We also show that the inclusion of data error autocorrelations in the data weighting provides a meaningful balance between the different independent data sets and can further reduce model uncertainties.

Original languageEnglish (US)
JournalEuropean Space Agency, (Special Publication) ESA SP
Issue number649 SP
StatePublished - 2008
Externally publishedYes

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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