An efficient data-subspace inversion method for 2-D magnetotelluric data
By Weerachai Siripunvaraporn, Gary D. Egbert. 2000
443 citations recorded by the source corpus.
Subfields: Environmental Engineering, Geophysics, Oceanography
View Paper: https://www.semanticscholar.org/paper/ee4d9aa0dcf0a0f27e548ebc68537ee6eb752eb3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- L. Pedersen
- M. Engels
- Y. Sasaki
- Gary D. Egbert
- Yongwimon Lenbury
- M. Uyeshima
- Weerachai Siripunvaraporn
In Geophysics
- L. Pedersen
- M. Engels
- Y. Sasaki
- Gary D. Egbert
- Yongwimon Lenbury
- M. Uyeshima
- Weerachai Siripunvaraporn
- J. Booker
In Oceanography
- L. Pedersen
- M. Engels
- Y. Sasaki
- Yongwimon Lenbury
- M. Uyeshima
- Gary D. Egbert
- Weerachai Siripunvaraporn
- Jonas Nycander
Citations in the corpus
- Three-dimensional inversion of static-shifted magnetotelluric data (2004, background): “D problems in favour of the conjugate gradient-based algorithms, while Siripunvaraporn and Egbert (2000) argue that their data-subspace inversion method, which belongs to the Gauss-Newton type approach, can be practically efficient for 3D problems.”
- Routine 2D inversion of Magnetotelluric data using the determinant of the impedance tensor (2005, methodology): “Twodimensional inversions were carried out with the Occam algorithm of Siripunvaraporn and Egbert (2000) , slightly expanded with a few subroutines to enable inversion of the determinant in addition to the TM, TE, and TE+TM modes.”
- Three-dimensional magnetotelluric inversion : data-space method (2005, methodology): “Conversely, a model covariance matrixCm, which is efficient for data-space computations (e.g.,Siripunvaraporn and Egbert, 2000) cannot be inverted both due to size and ill-conditioning.”