Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Performance and sensitivity analysis of stormwater models using a Bayesian approach and long-term high resolution data

C.B.S. Dotto, M. Kleidorfer, A. Deletic, et al.
Environmental Modelling & Software 26 (10) 1225 (2011)
https://doi.org/10.1016/j.envsoft.2011.03.013

The simulation of phenological development in dynamic crop model: The Bayesian comparison of different methods

Andrej Ceglar, Zalika Črepinšek, Lučka Kajfež-Bogataj and Tjaša Pogačar
Agricultural and Forest Meteorology 151 (1) 101 (2011)
https://doi.org/10.1016/j.agrformet.2010.09.007

A package of parameter estimation methods and implementation for the STICS crop-soil model

D. Wallach, S. Buis, P. Lecharpentier, et al.
Environmental Modelling & Software 26 (4) 386 (2011)
https://doi.org/10.1016/j.envsoft.2010.09.004

Calibration and Sensitivity Analysis of Urban Drainage Models: Music Rainfall/Runoff Module and a Simple Stormwater Quality Model

C B S Dotto, A Deletic, D T McCarthy and T D Fletcher
Australasian Journal of Water Resources 15 (1) 85 (2011)
https://doi.org/10.1080/13241583.2011.11465392

Modified Generalized Likelihood Uncertainty Estimation (GLUE) Methodology for Considering the Subjectivity of Likelihood Measure Selection

Yingqi Zhang, Hui-Hai Liu and James Houseworth
Journal of Hydrologic Engineering 16 (6) 558 (2011)
https://doi.org/10.1061/(ASCE)HE.1943-5584.0000341

Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model

Hubert Varella, Martine Guérif and Samuel Buis
Environmental Modelling & Software 25 (3) 310 (2010)
https://doi.org/10.1016/j.envsoft.2009.09.012

On the value of conditioning data to reduce conceptual model uncertainty in groundwater modeling

R. Rojas, L. Feyen, O. Batelaan and A. Dassargues
Water Resources Research 46 (8) (2010)
https://doi.org/10.1029/2009WR008822

Soil properties estimation by inversion of a crop model and observations on crops improves the prediction of agro-environmental variables

Hubert Varella, Martine Guérif, Samuel Buis and Nicolas Beaudoin
European Journal of Agronomy 33 (2) 139 (2010)
https://doi.org/10.1016/j.eja.2010.04.005

Efficient regularization and uncertainty analysis using a global optimization methodology

Catherine Moore, Thomas Wöhling and John Doherty
Water Resources Research 46 (8) (2010)
https://doi.org/10.1029/2009WR008627

Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method

Jianqiang He, James W. Jones, Wendy D. Graham and Michael D. Dukes
Agricultural Systems 103 (5) 256 (2010)
https://doi.org/10.1016/j.agsy.2010.01.006

Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China

Zhanling Li, Quanxi Shao, Zongxue Xu and Xitian Cai
Journal of Hydrology 385 (1-4) 76 (2010)
https://doi.org/10.1016/j.jhydrol.2010.01.025

Assessment of conceptual model uncertainty for the regional aquifer Pampa del Tamarugal – North Chile

R. Rojas, O. Batelaan, L. Feyen and A. Dassargues
Hydrology and Earth System Sciences 14 (2) 171 (2010)
https://doi.org/10.5194/hess-14-171-2010

Application of a multimodel approach to account for conceptual model and scenario uncertainties in groundwater modelling

Rodrigo Rojas, Samalie Kahunde, Luk Peeters, et al.
Journal of Hydrology 394 (3-4) 416 (2010)
https://doi.org/10.1016/j.jhydrol.2010.09.016

Assessment of conceptual model uncertainty for the regional aquifer Pampa del Tamarugal – North Chile

R. Rojas, O. Batelaan, L. Feyen and A. Dassargues
Hydrology and Earth System Sciences Discussions 6 (5) 5881 (2009)
https://doi.org/10.5194/hessd-6-5881-2009

Uncertainty in urban stormwater quality modelling: The influence of likelihood measure formulation in the GLUE methodology

Gabriele Freni, Giorgio Mannina and Gapare Viviani
Science of The Total Environment 408 (1) 138 (2009)
https://doi.org/10.1016/j.scitotenv.2009.09.029

Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China

Jing Yang, Peter Reichert, K.C. Abbaspour, Jun Xia and Hong Yang
Journal of Hydrology 358 (1-2) 1 (2008)
https://doi.org/10.1016/j.jhydrol.2008.05.012

WORMDYN: A model of Lumbricus terrestris population dynamics in agricultural fields

Céline Pelosi, Michel Bertrand, David Makowski and Jean Roger-Estrade
Ecological Modelling 218 (3-4) 219 (2008)
https://doi.org/10.1016/j.ecolmodel.2008.07.002

Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling

Roberta-Serena Blasone, Jasper A. Vrugt, Henrik Madsen, et al.
Advances in Water Resources 31 (4) 630 (2008)
https://doi.org/10.1016/j.advwatres.2007.12.003

Impact of time series data on calibration and prediction uncertainty for a deterministic hydrogeochemical model

Thorjørn Larssen, Tore Høgåsen and B. Jack Cosby
Ecological Modelling 207 (1) 22 (2007)
https://doi.org/10.1016/j.ecolmodel.2007.03.016

Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications

Marie Launay and Martine Guerif
Agriculture, Ecosystems & Environment 111 (1-4) 321 (2005)
https://doi.org/10.1016/j.agee.2005.06.005

Knowledge, uncertainty and physical geography: towards the development of methodologies for questioning belief

James D Brown
Transactions of the Institute of British Geographers 29 (3) 367 (2004)
https://doi.org/10.1111/j.0020-2754.2004.00342.x