Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Vrugt J. A."'
Publikováno v:
Geophysical Journal International, 196, 1508-1524 (2014)
Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet, application of such methods to CPU-intensive forward models can be a d
Externí odkaz:
http://arxiv.org/abs/1701.02540
Autor:
Linde, N., Vrugt, J. A.
Geophysical methods offer several key advantages over conventional subsurface measurement approaches, yet their use for hydrologic interpretation is often problematic. Here, we introduce theory and concepts of a novel Bayesian approach for high-resol
Externí odkaz:
http://arxiv.org/abs/1701.01634
Publikováno v:
Geophysical Journal International, 201, 155-171 (2015)
A strategy is presented to incorporate prior information from conceptual geological models in probabilistic inversion of geophysical data. The conceptual geological models are represented by multiple-point statistics training images (TIs) featuring t
Externí odkaz:
http://arxiv.org/abs/1701.01376
Autor:
Vincent, F., Maertens, M., Bechtold, M., Jobbágy, E., Reichle, R.H., Vanacker, V., Vrugt, J., Wigneron, J.-P., de Lannoy, G.J.M., International Geoscience and Remote Sensing Symposium, IGARSS 2021
Publikováno v:
International Geoscience and Remote Sensing Symposium (IGARSS), Vol. 2021, no.IGARSS47720, p. 1406-1408 (2021)
IGARSS
IGARSS
— Passive microwave L-band remote sensing is well known for its sensitivity to surface soil moisture over land. The signal is also affected by other dynamic variables such as vegetation and soil salinity. In this research, L-band microwave observat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b962703dbbd1dfd1b6ed6dd149898d63
https://hdl.handle.net/2078.1/261121
https://hdl.handle.net/2078.1/261121
Autor:
Vrugt, J. A., Braak, C. J. F.
Formal and informal Bayesian approaches have found widespread implementation and use in environmental modeling to summarize parameter and predictive uncertainty. Successful implementation of these methods relies heavily on the availability of efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=copernicuspu::7a7406344e2397a7747c40bb23399a02
https://www.hydrol-earth-syst-sci.net/15/3701/2011/
https://www.hydrol-earth-syst-sci.net/15/3701/2011/
Publikováno v:
Water Resources Research, 49(7), 4219-4229. Wiley-Blackwell
Nasta, P; Romano, N; Assouline, S; Vrugt, JA; & Hopmans, JW. (2013). Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions. Water Resources Research, 49(7), 4219-4229. doi: 10.1002/wrcr.20255. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5nd866ts
Water Resources Research, vol 49, iss 7
Nasta, P; Romano, N; Assouline, S; Vrugt, JA; & Hopmans, JW. (2013). Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions. Water Resources Research, 49(7), 4219-4229. doi: 10.1002/wrcr.20255. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5nd866ts
Water Resources Research, vol 49, iss 7
Simultaneous scaling of soil water retention and hydraulic conductivity functions provides an effective means to characterize the heterogeneity and spatial variability of soil hydraulic properties in a given study area. The statistical significance o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::51169918c028d9f290c69f7edfce207a
https://dare.uva.nl/personal/pure/en/publications/prediction-of-spatially-variable-unsaturated-hydraulic-conductivity-using-scaled-particlesize-distribution-functions(5cb4bae2-28e3-4d1b-9d99-e59c46df5872).html
https://dare.uva.nl/personal/pure/en/publications/prediction-of-spatially-variable-unsaturated-hydraulic-conductivity-using-scaled-particlesize-distribution-functions(5cb4bae2-28e3-4d1b-9d99-e59c46df5872).html
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Publikováno v:
Water resources research 44, 1-21 (2008). doi:10.1029/2008WR006829
We explore and review the value of soil moisture measurements in vadose zone hydrology with a focus on the field and catchment scales. This review is motivated by the increasing ability to measure soil moisture with unprecedented spatial and temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3364::09e9f145ada741fca8f8e416f83681af
https://hdl.handle.net/2128/17067
https://hdl.handle.net/2128/17067