1. Adelaide Research & Scholarship

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Results 31-40 of 60 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2014Catchment properties, function, and conceptual model representation: is there a correspondence?Fenicia, F.; Kavetski, D.; Savenije, H.; Clark, M.; Schoups, G.; Pfister, L.; Freer, J.
2013A Bayesian analysis of sensible heat flux estimation: quantifying uncertainty in meteorological forcing to improve model predictionErshadi, A.; McCabe, M.; Evans, J.; Mariethoz, G.; Kavetski, D.
2013The influence of conceptual model structure on model performance: A comparative study for 237 French catchmentsvan Esse, W.; Perrin, C.; Booij, M.; Augustijn, D.; Fenicia, F.; Kavetski, D.; Lobligeois, F.
2013Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow systemHill, M.; Faunt, C.; Belcher, W.; Sweetkind, D.; Tiedeman, C.; Kavetski, D.
2014Challenges of operational river forecastingPagano, T.; Wood, A.; Ramos, M.; Cloke, H.; Pappenberger, F.; Clark, M.; Cranston, M.; Kavetski, D.; Mathevet, T.; Sorooshian, S.; Verkade, J.
2015A unified approach for process-based hydrologic modeling: 2. Model implementation and case studiesClark, M.; Nijssen, B.; Lundquist, J.; Kavetski, D.; Rupp, D.; Woods, R.; Freer, J.; Gutmann, E.; Wood, A.; Gochis, D.; Rasmussen, R.; Tarboton, D.; Mahat, V.; Flerchinger, G.; Marks, D.
2015A unified approach for process-based hydrologic modeling: 1. Modeling conceptClark, M.; Nijssen, B.; Lundquist, J.; Kavetski, D.; Rupp, D.; Woods, R.; Freer, J.; Gutmann, E.; Wood, A.; Brekke, L.; Arnold, J.; Gochis, D.; Rasmussen, R.
2015Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchmentsWrede, S.; Fenicia, F.; Martínez-Carreras, N.; Juilleret, J.; Hissler, C.; Krein, A.; Savenije, H.; Uhlenbrook, S.; Kavetski, D.; Pfister, L.
2016Comparison of Newton-type and SCE optimisation algorithms for the calibration of conceptual hydrological modelsQin, Y.; Kuczera, G.; Kavetski, D.
2011The open source RFortran library for accessing R from Fortran, with applications in environmental modellingThyer, M.; Leonard, M.; Kavetski, D.; Need, S.; Renard, B.

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