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Results 71-80 of 85 (Search time: 0.006 seconds).
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PreviewIssue DateTitleAuthor(s)
2011Elements of a flexible approach for conceptual hydrological modeling: 2. Application and experimental insightsKavetski, D.; Fenicia, F.
2010Ancient numerical daemons of conceptual hydrological modeling: 1. Fidelity and efficiency of time stepping schemesClark, M.; Kavetski, D.
2011Representing spatial variability of snow water equivalent in hydrologic and land-surface models: a reviewClark, M.; Hendrikx, J.; Slater, A.; Kavetski, D.; Anderson, B.; Cullen, N.; Kerr, T.; Hreinsson, E.; Woods, R.
2009Comment on "An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction" by Newsha K. Ajami et al.Renard, B.; Kavetski, D.; Kuczera, G.
2012Microwave links for rainfall estimation in an urban environment: Insights from an experimental setup in Luxembourg-CityFenicia, F.; Pfister, L.; Kavetski, D.; Matgen, P.; Iffly, J.; Hoffmann, L.; Uijlenhoet, R.
2011Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error modelsMcMillan, H.; Jackson, B.; Clark, M.; Kavetski, D.; Woods, R.
2006Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parametersKuczera, G.; Kavetski, D.; Franks, S.; Thyer, M.
2018Spatiotemporal patterns of precipitation inferred from streamflow observations across the Sierra Nevada mountain rangeHenn, B.; Clark, M.; Kavetski, D.; Newman, A.; Hughes, M.; McGurk, B.; Lundquist, J.
2018Signature-domain calibration of hydrological models using approximate bayesian computation: empirical analysis of fundamental propertiesFenicia, F.; Kavetski, D.; Reichert, P.; Albert, C.
2018Signature-domain calibration of hydrological models using approximate bayesian computation: theory and comparison to existing applicationsKavetski, D.; Fenicia, F.; Reichert, P.; Albert, C.

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