Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Vrugt, JA"'
Autor:
Rahmati, M, Vanderborght, J, Simunek, J, Vrugt, JA, Moret-Fernandez, D, Latorre, B, Lassabatere, L, Vereecken, H
Publikováno v:
Vadose Zone Journal, vol 20, iss 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::1385595f2ab4e0cc2822230a0fd76fbc
https://escholarship.org/uc/item/07z352cp
https://escholarship.org/uc/item/07z352cp
Publikováno v:
Qin, Hui; Vrugt, Jasper A; Xie, Xiongyao; & Zhou, Yunxiang. (2018). Improved characterization of underground structure defects from two-stage Bayesian inversion using crosshole GPR data. Automation in Construction, 95, 233-244. doi: 10.1016/j.autcon.2018.08.014. UC Office of the President: Research Grants Program Office (RGPO). Retrieved from: http://www.escholarship.org/uc/item/6945b6w8
Crosshole ground-penetrating radar (GPR) is a widely used measurement technique to help inspect the structural integrity of man-made underground structures. In a previous paper, we have introduced a Bayesian framework for inversion of crosshole GPR e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::042cf501d55a9f306a5a44f733ff052f
http://www.escholarship.org/uc/item/6945b6w8
http://www.escholarship.org/uc/item/6945b6w8
Publikováno v:
Massoud, EC; Huisman, J; Beninca, E; Dietze, MC; Bouten, W; & Vrugt, JA. (2018). y Probing the limits of predictability: data assimilation of chaotic dynamics in complex food webs. ECOLOGY LETTERS, 21(1), 93-103. doi: 10.1111/ele.12876. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1745g86j
The daunting complexity of ecosystems has led ecologists to use mathematical modelling to gain understanding of ecological relationships, processes and dynamics. In pursuit of mathematical tractability, these models use simplified descriptions of key
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::62c11d774472a11f3c27248176b04474
http://www.escholarship.org/uc/item/1745g86j
http://www.escholarship.org/uc/item/1745g86j
Publikováno v:
Zhang, J; Vrugt, JA; Shi, X; Lin, G; Zeng, L; & Wu, L. (2017). Speed-up of posterior inference of highly-parameterized environmental models from a Kalman proposal distribution: DREAM(KZS). UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/9q34n59v
Markov chain Monte Carlo (MCMC) simulation methods are widely used to generate samples from a target distribution. In posterior inference of highly-parameterized environmental models, the convergence speed of MCMC methods may be disturbingly low, eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::e7086bcab28784547a65f9cf3fdf6280
http://www.escholarship.org/uc/item/9q34n59v
http://www.escholarship.org/uc/item/9q34n59v
Publikováno v:
Hydrology and Earth System Sciences, vol 21, iss 9
HYDROLOGY AND EARTH SYSTEM SCIENCES, vol 21, iss 9
Hydrology and earth system sciences 21(9), 4927-4958 (2017). doi:10.5194/hess-21-4927-2017
Zhang, H; Franssen, H-JH; Han, X; Vrugt, JA; & Vereecken, H. (2017). State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter. HYDROLOGY AND EARTH SYSTEM SCIENCES, 21(9), 4927-4958. doi: 10.5194/hess-21-4927-2017. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/2s08842p
HYDROLOGY AND EARTH SYSTEM SCIENCES, vol 21, iss 9
Hydrology and earth system sciences 21(9), 4927-4958 (2017). doi:10.5194/hess-21-4927-2017
Zhang, H; Franssen, H-JH; Han, X; Vrugt, JA; & Vereecken, H. (2017). State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter. HYDROLOGY AND EARTH SYSTEM SCIENCES, 21(9), 4927-4958. doi: 10.5194/hess-21-4927-2017. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/2s08842p
Land surface models (LSMs) use a large cohort of parameters and state variables to simulate the water and energy balance at the soil–atmosphere interface. Many of these model parameters cannot be measured directly in the field, and require calibrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1fecf6f2b288856570bddb4edf34ea6a
https://escholarship.org/uc/item/2s08842p
https://escholarship.org/uc/item/2s08842p
Publikováno v:
Water Resources Research, vol 53, iss 7
Luke, A; Vrugt, JA; AghaKouchak, A; Matthew, R; & Sanders, BF. (2017). Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States. WATER RESOURCES RESEARCH, 53(7), 5469-5494. doi: 10.1002/2016WR019676. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1cg4j6p6
Luke, A; Vrugt, JA; AghaKouchak, A; Matthew, R; & Sanders, BF. (2017). Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States. WATER RESOURCES RESEARCH, 53(7), 5469-5494. doi: 10.1002/2016WR019676. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1cg4j6p6
Nonstationary extreme value analysis (NEVA) can improve the statistical representation of observed flood peak distributions compared to stationary (ST) analysis, but management of flood risk relies on predictions of out-of-sample distributions for wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7a9aabbb657a1d404d380e41553e2143
https://escholarship.org/uc/item/1cg4j6p6
https://escholarship.org/uc/item/1cg4j6p6
Publikováno v:
Water Resources Research, vol 53, iss 7
WATER RESOURCES RESEARCH, vol 53, iss 7
Water Resources Research, 53(7)
Volpi, E; Schoups, G; Firmani, G; & Vrugt, JA. (2017). Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling. WATER RESOURCES RESEARCH, 53(7), 6133-6158. doi: 10.1002/2016WR020167. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5ph1q90w
WATER RESOURCES RESEARCH, vol 53, iss 7
Water Resources Research, 53(7)
Volpi, E; Schoups, G; Firmani, G; & Vrugt, JA. (2017). Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling. WATER RESOURCES RESEARCH, 53(7), 6133-6158. doi: 10.1002/2016WR020167. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5ph1q90w
What is the “best” model? The answer to this question lies in part in the eyes of the beholder, nevertheless a good model must blend rigorous theory with redeeming qualities such as parsimony and quality of fit. Model selection is used to make in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e9da71c12a0facb7cd1f008b5237e6de
https://hdl.handle.net/11590/327780
https://hdl.handle.net/11590/327780
Autor:
Vereecken, H, Schnepf, A, Hopmans, JW, Javaux, M, Or, D, Roose, T, Vanderborght, J, Young, MH, Amelung, W, Aitkenhead, M, Allison, SD, Assouline, S, Baveye, P, Berli, M, Brüggemann, N, Finke, P, Flury, M, Gaiser, T, Govers, G, Ghezzehei, T, Hallett, P, Franssen, HJH, Heppell, J, Horn, R, Huisman, JA, Jacques, D, Jonard, F, Kollet, S, Lafolie, F, Lamorski, K, Leitner, D, Mcbratney, A, Minasny, B, Montzka, C, Nowak, W, Pachepsky, Y, Padarian, J, Romano, N, Roth, K, Rothfuss, Y, Rowe, EC, Schwen, A, Šimůnek, J, Tiktak, A, Van Dam, J, van der Zee, SEATM, Vogel, HJ, Vrugt, JA, Wöhling, T, Young, IM
Publikováno v:
Vadose Zone Journal, vol 15, iss 5
The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::a28688707035e58661b427ebf13fab7c
https://escholarship.org/uc/item/6976n34c
https://escholarship.org/uc/item/6976n34c
Publikováno v:
Gomes, GJC; Vrugt, JA; & Jr, VEA. (2016). Toward improved prediction of the bedrock depth underneath hillslopes: Bayesian inference of the bottom-up control hypothesis using high-resolution topographic data. WATER RESOURCES RESEARCH, 52(4), 3085-3112. doi: 10.1002/2015WR018147. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/0qr1q20d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::81cf21538ec382a4d9df6f7595ae8029
http://www.escholarship.org/uc/item/0qr1q20d
http://www.escholarship.org/uc/item/0qr1q20d
Autor:
Ali, AA, Xu, C, Rogers, A, McDowell, NG, Medlyn, BE, Fisher, RA, Wullschleger, SD, Reich, PB, Vrugt, JA, Bauerle, WL, Santiago, LS, Wilson, CJ
Publikováno v:
Ecological applications : a publication of the Ecological Society of America, vol 25, iss 8
Ali, AA; Xu, C; Rogers, A; McDowell, NG; Medlyn, BE; Fisher, RA; et al.(2015). Global-scale environmental control of plant photosynthetic capacity. ECOLOGICAL APPLICATIONS, 25(8), 2349-2365. doi: 10.1890/14-2111.1.sm. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/1dr5q3fv
Ali, AA; Xu, C; Rogers, A; McDowell, NG; Medlyn, BE; Fisher, RA; et al.(2015). Global-scale environmental control of plant photosynthetic capacity. ECOLOGICAL APPLICATIONS, 25(8), 2349-2365. doi: 10.1890/14-2111.1.sm. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/1dr5q3fv
Photosynthetic capacity, determined by light harvesting and carboxylation reactions, is a key plant trait that determines the rate of photosynthesis; however, in Earth System Models (ESMs) at a reference temperature, it is either a fixed value for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::452db4d48a0693b22fb9029010ff256b
https://escholarship.org/uc/item/1dr5q3fv
https://escholarship.org/uc/item/1dr5q3fv