Articles | Volume 19, issue 2
Hydrol. Earth Syst. Sci., 19, 729–745, 2015
https://doi.org/10.5194/hess-19-729-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 729–745, 2015
https://doi.org/10.5194/hess-19-729-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
04 Feb 2015
Research article
| 04 Feb 2015
Scalable statistics of correlated random variables and extremes applied to deep borehole porosities
A. Guadagnini et al.
Viewed
Total article views: 2,046 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Oct 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,055 | 872 | 119 | 2,046 | 89 | 89 |
- HTML: 1,055
- PDF: 872
- XML: 119
- Total: 2,046
- BibTeX: 89
- EndNote: 89
Total article views: 1,560 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Feb 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 774 | 679 | 107 | 1,560 | 84 | 81 |
- HTML: 774
- PDF: 679
- XML: 107
- Total: 1,560
- BibTeX: 84
- EndNote: 81
Total article views: 486 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Oct 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 281 | 193 | 12 | 486 | 5 | 8 |
- HTML: 281
- PDF: 193
- XML: 12
- Total: 486
- BibTeX: 5
- EndNote: 8
Cited
11 citations as recorded by crossref.
- Theory and generation of conditional, scalable sub-Gaussian random fields M. Panzeri et al. 10.1002/2015WR018348
- Generalized Sub‐Gaussian Processes: Theory and Application to Hydrogeological and Geochemical Data M. Siena et al. 10.1029/2020WR027436
- Simulation and analysis of scalable non-Gaussian statistically anisotropic random functions M. Riva et al. 10.1016/j.jhydrol.2015.06.066
- New scaling model for variables and increments with heavy-tailed distributions M. Riva et al. 10.1002/2015WR016998
- A High‐Resolution Global Map of Soil Hydraulic Properties Produced by a Hierarchical Parameterization of a Physically Based Water Retention Model Y. Zhang et al. 10.1029/2018WR023539
- Upscaling thermal conductivities of sedimentary formations for geothermal exploration W. Rühaak et al. 10.1016/j.geothermics.2015.08.004
- Analysis of heterogeneity in a sedimentary aquifer using Generalized sub-Gaussian model based on logging resistivity K. Li et al. 10.1007/s00477-021-02054-5
- Statistical modeling of gas-permeability spatial variability along a limestone core M. Siena et al. 10.1016/j.spasta.2017.07.007
- Multifractal analysis in soil properties: Spatial signal versus mass distribution M. Morató et al. 10.1016/j.geoderma.2016.08.004
- Assessing soil water content variability through active heat distributed fiber optic temperature sensing S. Zubelzu et al. 10.1016/j.agwat.2018.08.008
- Recent advances in scalable non-Gaussian geostatistics: The generalized sub-Gaussian model A. Guadagnini et al. 10.1016/j.jhydrol.2018.05.001
11 citations as recorded by crossref.
- Theory and generation of conditional, scalable sub-Gaussian random fields M. Panzeri et al. 10.1002/2015WR018348
- Generalized Sub‐Gaussian Processes: Theory and Application to Hydrogeological and Geochemical Data M. Siena et al. 10.1029/2020WR027436
- Simulation and analysis of scalable non-Gaussian statistically anisotropic random functions M. Riva et al. 10.1016/j.jhydrol.2015.06.066
- New scaling model for variables and increments with heavy-tailed distributions M. Riva et al. 10.1002/2015WR016998
- A High‐Resolution Global Map of Soil Hydraulic Properties Produced by a Hierarchical Parameterization of a Physically Based Water Retention Model Y. Zhang et al. 10.1029/2018WR023539
- Upscaling thermal conductivities of sedimentary formations for geothermal exploration W. Rühaak et al. 10.1016/j.geothermics.2015.08.004
- Analysis of heterogeneity in a sedimentary aquifer using Generalized sub-Gaussian model based on logging resistivity K. Li et al. 10.1007/s00477-021-02054-5
- Statistical modeling of gas-permeability spatial variability along a limestone core M. Siena et al. 10.1016/j.spasta.2017.07.007
- Multifractal analysis in soil properties: Spatial signal versus mass distribution M. Morató et al. 10.1016/j.geoderma.2016.08.004
- Assessing soil water content variability through active heat distributed fiber optic temperature sensing S. Zubelzu et al. 10.1016/j.agwat.2018.08.008
- Recent advances in scalable non-Gaussian geostatistics: The generalized sub-Gaussian model A. Guadagnini et al. 10.1016/j.jhydrol.2018.05.001
Latest update: 09 Aug 2022
Short summary
Previously we have shown that many earth-system and other variables can be viewed as samples from scale mixtures of truncated fractional Brownian motion or fractional Gaussian noise. Here we study statistical scaling of extreme absolute increments associated with such samples. As a real example we analyze neutron porosities from deep boreholes in diverse depositional units. Phenomena we uncover are relevant to the analysis of fluid flow and solute transport in complex hydrogeologic environments.
Previously we have shown that many earth-system and other variables can be viewed as samples...
