| Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm G Kuczera, E Parent Journal of hydrology 211 (1-4), 69-85, 1998 | 1026 | 1998 |
| Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors B Renard, D Kavetski, G Kuczera, M Thyer, SW Franks Water Resources Research 46 (5), 2010 | 860 | 2010 |
| Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory D Kavetski, G Kuczera, SW Franks Water resources research 42 (3), 2006 | 705 | 2006 |
| Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ... Environmental Modelling & Software 62, 271-299, 2014 | 665 | 2014 |
| Bayesian analysis of input uncertainty in hydrological modeling: 2. Application D Kavetski, G Kuczera, SW Franks Water resources research 42 (3), 2006 | 442 | 2006 |
| Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters G Kuczera, D Kavetski, S Franks, M Thyer Journal of hydrology 331 (1-2), 161-177, 2006 | 408 | 2006 |
| Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis M Thyer, B Renard, D Kavetski, G Kuczera, SW Franks, S Srikanthan Water Resources Research 45 (12), 2009 | 403 | 2009 |
| Multi‐decadal variability of flood risk AS Kiem, SW Franks, G Kuczera Geophysical Research Letters 30 (2), 2003 | 392 | 2003 |
| Improved parameter inference in catchment models: 1. Evaluating parameter uncertainty G Kuczera Water Resources Research 19 (5), 1151-1162, 1983 | 377 | 1983 |
| Markov model for storm water pipe deterioration T Micevski, G Kuczera, P Coombes Journal of infrastructure systems 8 (2), 49-56, 2002 | 365 | 2002 |
| Confronting input uncertainty in environmental modelling D Kavetski, SW Franks, G Kuczera Calibration of watershed models 6, 49-68, 2003 | 351 | 2003 |
| Assessment of hydrologic parameter uncertainty and the worth of multiresponse data G Kuczera, M Mroczkowski Water Resources Research 34 (6), 1481-1489, 1998 | 325 | 1998 |
| Prediction of water yield reductions following a bushfire in ash-mixed species eucalypt forest G Kuczera Journal of Hydrology 94 (3-4), 215-236, 1987 | 323 | 1987 |
| Efficient subspace probabilistic parameter optimization for catchment models G Kuczera Water resources research 33 (1), 177-185, 1997 | 297 | 1997 |
| Figtree Place: a case study in water sensitive urban development (WSUD) PJ Coombes, JR Argue, G Kuczera Urban Water 1 (4), 335-343, 2000 | 290 | 2000 |
| Thermal inactivation of water-borne pathogenic and indicator bacteria at sub-boiling temperatures AT Spinks, RH Dunstan, T Harrison, P Coombes, G Kuczera Water research 40 (6), 1326-1332, 2006 | 238 | 2006 |
| Comprehensive at‐site flood frequency analysis using Monte Carlo Bayesian inference G Kuczera Water resources research 35 (5), 1551-1557, 1999 | 234 | 1999 |
| Probabilistic optimization for conceptual rainfall‐runoff models: A comparison of the shuffled complex evolution and simulated annealing algorithms M Thyer, G Kuczera, BC Bates Water Resources Research 35 (3), 767-773, 1999 | 234 | 1999 |
| Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation B Renard, D Kavetski, E Leblois, M Thyer, G Kuczera, SW Franks Water Resources Research 47 (11), 2011 | 229 | 2011 |
| Evaluating the non-stationarity of Australian annual maximum flood EH Ishak, A Rahman, S Westra, A Sharma, G Kuczera Journal of Hydrology 494, 134-145, 2013 | 202 | 2013 |
Mark ThyerAssociate Professor, University of AdelaideVerified email at adelaide.edu.au
