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Preview	Issue Date	Title	Author(s)
	2018	Parameter estimation and predictive uncertainty quantification in hydrological modelling	Kavetski, D.; Duan, Q.; Pappenberger, F.; Wood, A.; Cloke, H.L.; Schaake, J.C.
	2018	State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application	Gibbs, M.S.; McInerney, D.; Humphrey, G.; Thyer, M.A.; Maier, H.R.; Dandy, G.C.; Kavetski, D.
	2018	A simplified approach to produce probabilistic hydrological model predictions	McInerney, D.; Thyer, M.A.; Kavetski, D.; Bennett, B.; Lerat, J.; Gibbs, M.; Kuczera, G.
	2018	Evaluating post-processing approaches for monthly and seasonal streamflow forecasts	Woldemeskel, F.; McInerney, D.; Lerat, J.; Thyer, M.; Kavetski, D.; Shin, D.; Tuteja, N.; Kuczera, G.
	2018	The importance of spatiotemporal variability in irrigation inputs for hydrological modelling of irrigated catchments	McInerney, D.; Thyer, M.A.; Kavetski, D.; Githui, F.; Thayalakumaran, T.; Liu, M.; 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.
	2018	Spatiotemporal patterns of precipitation inferred from streamflow observations across the Sierra Nevada mountain range	Henn, B.; Clark, M.; Kavetski, D.; Newman, A.; Hughes, M.; McGurk, B.; Lundquist, J.
	2018	Signature-domain calibration of hydrological models using approximate bayesian computation: empirical analysis of fundamental properties	Fenicia, F.; Kavetski, D.; Reichert, P.; Albert, C.
	2018	Signature-domain calibration of hydrological models using approximate bayesian computation: theory and comparison to existing applications	Kavetski, D.; Fenicia, F.; Reichert, P.; Albert, C.