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Preview	Issue Date	Title	Author(s)
	2019	Flow prediction in ungauged catchments using probabilistic random forests regionalization and new statistical adequacy tests	Prieto, C.; Le Vine, N.; Kavetski, D.; García, E.; Medina, R.
	2019	Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchments	McInerney, D.; Kavetski, D.; Thyer, M.; Lerat, J.; Kuczera, G.
	2018	A robust Gauss-Newton algorithm for the optimization of hydrological models: benchmarking against industry-standard algorithms	Qin, Y.; Kavetski, D.; Kuczera, G.
	2018	A robust Gauss-Newton algorithm for the optimization of hydrological models: from standard Gauss-Newton to robust Gauss-Newton	Qin, Y.; Kavetski, D.; Kuczera, G.
	2015	A new stochastic model for simulating daily solar radiation from sunshine hours	Lockart, N.; Kavetski, D.; Franks, S.
	2016	Practical use of computationally frugal model analysis methods	Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S.
	2014	Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity	Evin, G.; Thyer, M.; Kavetski, D.; McInerney, D.; Kuczera, G.
	2016	From spatially variable streamflow to distributed hydrological models: analysis of key modeling decisions	Fenicia, F.; Kavetski, D.; Savenije, H.; Pfister, L.
	2010	Assessing the impact of mixing assumptions on the estimation of streamwater mean residence time	Fenicia, F.; Wrede, S.; Kavetski, D.; Pfister, L.; Hoffmann, L.; Savenije, H.; McDonnell, J.
	2013	Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration	Evin, G.; Kavetski, D.; Thyer, M.; Kuczera, G.