Articles | Volume 11, issue 1
https://doi.org/10.5194/se-11-75-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-11-75-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jan 2020
Research article |
| 17 Jan 2020
| 17 Jan 2020
Characterisation of subglacial water using a constrained transdimensional Bayesian transient electromagnetic inversion
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT,
UK
Adam D. Booth
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT,
UK
Philip W. Livermore
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT,
UK
C. Richard Bates
Earth and Environmental Sciences, University of St Andrews, St
Andrews, KY16 9AL, UK
Landis J. West
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT,
UK
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Cited
23 citations as recorded by crossref.
- Full-parametric and joint inversion of multimode surface wave data for identifying glacial ice thickness and freezing extent in subglacial sediments via the hunger games search algorithm H. Ai et al. https://doi.org/10.1190/geo2023-0756.1
- Enhanced Whale Optimization Algorithm for Improved Transient Electromagnetic Inversion in the Presence of Induced Polarization Effects R. Li et al. https://doi.org/10.3390/math11194164
- Integrated TEM and GPR Data Interpretation for High-Resolution Measurement of Urban Underground Space J. Chen et al. https://doi.org/10.1109/TIM.2021.3134995
- Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion R. Li et al. https://doi.org/10.1109/TGRS.2022.3208465
- Radar sounding survey over Devon Ice Cap indicates the potential for a diverse hypersaline subglacial hydrological environment A. Rutishauser et al. https://doi.org/10.5194/tc-16-379-2022
- Development of the Inversion Method for Transient Electromagnetic Data G. Xue et al. https://doi.org/10.1109/ACCESS.2020.3013626
- Study on the shielding effect of low resistance body when using transient electromagnetic to detect urban underground space Y. An et al. https://doi.org/10.1371/journal.pone.0289184
- An Assessment of Geophysical Survey Techniques for Characterising the Subsurface Around Glacier Margins, and Recommendations for Future Applications H. Watts et al. https://doi.org/10.3389/feart.2022.734682
- A quantitative method for deriving salinity of subglacial water using ground-based transient electromagnetics S. Killingbeck et al. https://doi.org/10.1017/jog.2021.94
- Efficient Transient Electromagnetic Inversion With Automatic Differentiation J. Lin et al. https://doi.org/10.1109/TGRS.2026.3665936
- Transient Electromagnetic Machine Learning Inversion Based on Pseudo Wave Field Data J. Chen et al. https://doi.org/10.1109/TGRS.2022.3187021
- Transient Electromagnetic Inversion: A Machine Learning Approach With CNN-LightGBM K. Cheng et al. https://doi.org/10.1109/TGRS.2024.3413182
- Quasi-2D inversion of surface large fixed-loop transient electromagnetic sounding data F. Li et al. https://doi.org/10.1093/jge/gxae013
- Integrated TEM and 2DERI techniques to delineate groundwater bearing zones in fractured carbonate rocks at the upstream portion of wadi Halazeen, Northwestern Coast, Egypt F. Zarif et al. https://doi.org/10.1016/j.jafrearsci.2021.104288
- A Julia software package for transdimensional Bayesian inversion of electromagnetic data over horizontally stratified media R. Peng et al. https://doi.org/10.1190/geo2021-0534.1
- Multiscale Dilated Convolutional Neural Networks for Transient Electromagnetic Inversion K. Cheng et al. https://doi.org/10.1109/TGRS.2024.3469960
- The delineation of graphite deposits of former mines in Lower Austria using the transient electromagnetic method J. Monsalve Martínez et al. https://doi.org/10.1016/j.enggeo.2025.108233
- Fast transdimensional Bayesian transient electromagnetic imaging for urban underground space detection J. Chen et al. https://doi.org/10.1016/j.measurement.2021.110300
- Use of remote sensing, spatial and geophysical modeling, and real recharging capabilities to identify suitable areas for groundwater exploitation in dry coastal areas H. Elewa et al. https://doi.org/10.1016/j.jenvman.2024.121243
- PC-BiLSTMNet: A hybrid deep learning model for denoising transient electromagnetic data K. Cheng & X. Wu https://doi.org/10.1016/j.measurement.2024.116494
- Misidentified subglacial lake beneath the Devon Ice Cap, Canadian Arctic: a new interpretation from seismic and electromagnetic data S. Killingbeck et al. https://doi.org/10.5194/tc-18-3699-2024
- Petrophysics Parameter Inversion and Its Application Based on the Transient Electromagnetic Method X. Teng et al. https://doi.org/10.3390/app15116256
- Adaptive laterally constrained inversion of time-domain electromagnetic data using hierarchical Bayes H. Li et al. https://doi.org/10.1190/geo2023-0346.1
23 citations as recorded by crossref.
- Full-parametric and joint inversion of multimode surface wave data for identifying glacial ice thickness and freezing extent in subglacial sediments via the hunger games search algorithm H. Ai et al. https://doi.org/10.1190/geo2023-0756.1
- Enhanced Whale Optimization Algorithm for Improved Transient Electromagnetic Inversion in the Presence of Induced Polarization Effects R. Li et al. https://doi.org/10.3390/math11194164
- Integrated TEM and GPR Data Interpretation for High-Resolution Measurement of Urban Underground Space J. Chen et al. https://doi.org/10.1109/TIM.2021.3134995
- Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion R. Li et al. https://doi.org/10.1109/TGRS.2022.3208465
- Radar sounding survey over Devon Ice Cap indicates the potential for a diverse hypersaline subglacial hydrological environment A. Rutishauser et al. https://doi.org/10.5194/tc-16-379-2022
- Development of the Inversion Method for Transient Electromagnetic Data G. Xue et al. https://doi.org/10.1109/ACCESS.2020.3013626
- Study on the shielding effect of low resistance body when using transient electromagnetic to detect urban underground space Y. An et al. https://doi.org/10.1371/journal.pone.0289184
- An Assessment of Geophysical Survey Techniques for Characterising the Subsurface Around Glacier Margins, and Recommendations for Future Applications H. Watts et al. https://doi.org/10.3389/feart.2022.734682
- A quantitative method for deriving salinity of subglacial water using ground-based transient electromagnetics S. Killingbeck et al. https://doi.org/10.1017/jog.2021.94
- Efficient Transient Electromagnetic Inversion With Automatic Differentiation J. Lin et al. https://doi.org/10.1109/TGRS.2026.3665936
- Transient Electromagnetic Machine Learning Inversion Based on Pseudo Wave Field Data J. Chen et al. https://doi.org/10.1109/TGRS.2022.3187021
- Transient Electromagnetic Inversion: A Machine Learning Approach With CNN-LightGBM K. Cheng et al. https://doi.org/10.1109/TGRS.2024.3413182
- Quasi-2D inversion of surface large fixed-loop transient electromagnetic sounding data F. Li et al. https://doi.org/10.1093/jge/gxae013
- Integrated TEM and 2DERI techniques to delineate groundwater bearing zones in fractured carbonate rocks at the upstream portion of wadi Halazeen, Northwestern Coast, Egypt F. Zarif et al. https://doi.org/10.1016/j.jafrearsci.2021.104288
- A Julia software package for transdimensional Bayesian inversion of electromagnetic data over horizontally stratified media R. Peng et al. https://doi.org/10.1190/geo2021-0534.1
- Multiscale Dilated Convolutional Neural Networks for Transient Electromagnetic Inversion K. Cheng et al. https://doi.org/10.1109/TGRS.2024.3469960
- The delineation of graphite deposits of former mines in Lower Austria using the transient electromagnetic method J. Monsalve Martínez et al. https://doi.org/10.1016/j.enggeo.2025.108233
- Fast transdimensional Bayesian transient electromagnetic imaging for urban underground space detection J. Chen et al. https://doi.org/10.1016/j.measurement.2021.110300
- Use of remote sensing, spatial and geophysical modeling, and real recharging capabilities to identify suitable areas for groundwater exploitation in dry coastal areas H. Elewa et al. https://doi.org/10.1016/j.jenvman.2024.121243
- PC-BiLSTMNet: A hybrid deep learning model for denoising transient electromagnetic data K. Cheng & X. Wu https://doi.org/10.1016/j.measurement.2024.116494
- Misidentified subglacial lake beneath the Devon Ice Cap, Canadian Arctic: a new interpretation from seismic and electromagnetic data S. Killingbeck et al. https://doi.org/10.5194/tc-18-3699-2024
- Petrophysics Parameter Inversion and Its Application Based on the Transient Electromagnetic Method X. Teng et al. https://doi.org/10.3390/app15116256
- Adaptive laterally constrained inversion of time-domain electromagnetic data using hierarchical Bayes H. Li et al. https://doi.org/10.1190/geo2023-0346.1
Saved (final revised paper)
Latest update: 28 May 2026
Short summary
This paper presents MuLTI-TEM, a Bayesian inversion tool for inverting TEM data with independent depth constraints to provide statistical properties and uncertainty analysis of the resistivity profile with depth. MuLTI-TEM is highly versatile, being compatible with most TEM survey designs, ground-based or airborne, along with the depth constraints being provided from any external source. Here, we present an application of MuLTI-TEM to characterise the subglacial water under a Norwegian glacier.
This paper presents MuLTI-TEM, a Bayesian inversion tool for inverting TEM data with independent...
