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Results 1-10 of 14 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2011Battling hydrological monsters: Insights into numerical approximations, data uncertainty and structural errorsKavetski, D.; Evin, G.; Clark, M.; Thyer, M.; Kuczera, G.; Renard, B.; Fenicia, F.; Tuteja, N.; IAHR World Congress (34th : 2011 : Brisbane, Australia)
2011Improving hydrological model predictions by incorporating rating curve uncertaintyThyer, M.; Renard, B.; Kavetski, D.; Kuczera, G.; Clark, M.; IAHR World Congress (34th : 2011 : Brisbane, Australia)
2011Exploring the utility of multi-response calibration in river system modellingMicevski, T.; Lerat, J.; Kavetski, D.; Thyer, M.; Kuczera, G.; Chan, F.; Marinova, D.; Anderssen, R.S.; International Congress on Modelling and Simulation (19th : 2011 : Perth, Australia)
2011The quest for physically realistic streamflow forecasting modelsClark, M.; Kavetski, D.; Fenicia, F.; McMillan, H.; Sims, J.; Merrin, L.; Ackland, R.; Herron, N.; Water Information Research and Development Alliance Science Symposium (2011 : Melbourne, Australia)
2011Uncertainties in flood forecasting: A Bayesian total error perspectiveKavetski, D.; Renard, B.; Evin, G.; Thyer, M.; Newman, A.; Kuczera, G.; Sims, J.; Merrin, L.; Ackland, R.; Herron, N.; Water Information Research and Development Alliance Science Symposium (2011 : Melbourne, Australia)
2011Hydrological field data from a modeller's perspective: Part 2: process-based evaluation of model hypothesesClark, M.; McMillan, H.; Collins, D.; Kavetski, D.; Woods, R.
2011The open source RFortran library for accessing R from Fortran, with applications in environmental modellingThyer, M.; Leonard, M.; Kavetski, D.; Need, S.; Renard, B.
2011Pursuing the method of multiple working hypotheses for hydrological modelingClark, M.; Kavetski, D.; Fenicia, F.
2011Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: insights from an experimental catchmentKavetski, D.; Fenicia, F.; Clark, M.
2011Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulationRenard, B.; Kavetski, D.; Leblois, E.; Thyer, M.; Kuczera, G.; Franks, S.