Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Jasper A. Vrugt"'
Publikováno v:
Vadose Zone Journal, Vol 23, Iss 4, Pp n/a-n/a (2024)
Abstract The two‐term infiltration equation I(t)=St+At is commonly used to determine the sorptivity, S (LT−1/2), and product, A=cKs (LT−1), of the dimensionless multiple c and saturated soil hydraulic conductivity Ks (LT−1) from cumulative ve
Externí odkaz:
https://doaj.org/article/d158fedce0a6426dbce2b1e69cb03c2d
Autor:
Frederike Vincent, Michiel Maertens, Michel Bechtold, Esteban Jobbagy, Rolf H. Reichle, Veerle Vanacker, Jasper A. Vrugt, Jean-Pierre Wigneron, Gabrielle J. M. De Lannoy
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6598-6614 (2022)
The Dry Chaco in South America is a semi-arid ecoregion prone to dryland salinization. In this region, we investigated coarse-scale surface soil moisture (SM), soil temperature, soil salinity, and vegetation, using L-band microwave brightness tempera
Externí odkaz:
https://doaj.org/article/099cafdd57f5490587453676bc516f86
Autor:
Mehdi Rahmati, Jan Vanderborght, Jirka Šimůnek, Jasper A. Vrugt, David Moret‐Fernández, Borja Latorre, Laurent Lassabatere, Harry Vereecken
Publikováno v:
Vadose Zone Journal, Vol 19, Iss 1, Pp n/a-n/a (2020)
Abstract Many different equations ranging from simple empirical to semi‐analytical solutions of the Richards equation have been proposed for quantitative description of water infiltration into variably saturated soils. The sorptivity, S, and the sa
Externí odkaz:
https://doaj.org/article/8554d7bd688444a5b8e24ab9ca2fe0e4
Autor:
Davood Moghadas, Jasper A. Vrugt
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1549 (2019)
Low frequency loop-loop electromagnetic induction (EMI) is a widely-used geophysical measurement method to rapidly measure in situ the apparent electrical conductivity (ECa) of variably-saturated soils. Here, we couple Bayesian inversion of a quasi-t
Externí odkaz:
https://doaj.org/article/b335a45890154054a3632fa601b1232f
Autor:
Jasper A. Vrugt
This paper advocates the use of simulation distributions for hydrologic model evaluation and model diagnostics. Distribution evaluation is supported by information-theoretic arguments and puts into modeling practice the social justice narrative of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::847a36434611d9f7ab4f0fefcb9cc805
https://doi.org/10.22541/essoar.168056799.99219343/v1
https://doi.org/10.22541/essoar.168056799.99219343/v1
Publikováno v:
Water Resources Research. 59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e384f87f539cba28054a725e3436391e
https://doi.org/10.1029/2022wr032834
https://doi.org/10.1029/2022wr032834
Climatic drivers of floods have been widely used to improve nonstationary flood frequency analysis (FFA). However, the forecast ability of nonstationary FFA to out-of-sample prediction has not been comprehensively evaluated. In this work, we use 379
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fefad9cd573152cc7f8c4618344fa60f
Publikováno v:
ACS ES&T Water, vol 2, iss 1
Stormwater capture systems have the potential to address many urban stormwater management challenges, particularly in water-scarce regions like Southern California. Here, we investigate the potential best-case limits of water supply and stormwater re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4aec0e521b79065825b26f73ce53512
https://hdl.handle.net/10919/108764
https://hdl.handle.net/10919/108764
Publikováno v:
Journal of Hydrology, 615(Part B)
This paper is concerned with the formulation of an adequate likelihood function in the application of Bayesian epistemology to uncertainty quantification of hydrologic models. We focus our attention on a special class of likelihood functions (hereina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226e0a465ca892c1f00d7c41b576c8ea
https://doi.org/10.1016/j.jhydrol.2022.128542
https://doi.org/10.1016/j.jhydrol.2022.128542
Strength properties of most sedimentary and metamorphic rocks are known to vary with direction. Knowledge of this so-called rock anisotropy is of utmost importance for reliability analysis and engineering design. The purpose of this paper is twofold.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf45b0ae113aeae03ca40914511d69a8
https://escholarship.org/uc/item/69w6d964
https://escholarship.org/uc/item/69w6d964