1. Adelaide Research & Scholarship

Search


Current filters:

Start a new search
Add filters:

Use filters to refine the search results.

 | 
Results 1-7 of 7 (Search time: 0.002 seconds).
  • previous
  • 1
  • next
Item hits:
PreviewIssue DateTitleAuthor(s)
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)
2021Can a daily rainfall-runoff model be successfully calibrated to monthly streamflow data?Kavetski, D.; Lerat, J.; McInerney, D.; Thyer, M.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2021Probabilistic streamflow prediction and uncertainty estimation in ephemeral catchmentsKavetski, D.; McInerney, D.; Thyer, M.; Lerat, J.; Kuczera, G.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2018A simplified approach to produce probabilistic hydrological model predictionsMcInerney, D.; Thyer, M.A.; Kavetski, D.; Bennett, B.; Lerat, J.; Gibbs, M.; Kuczera, G.
2018Evaluating post-processing approaches for monthly and seasonal streamflow forecastsWoldemeskel, F.; McInerney, D.; Lerat, J.; Thyer, M.; Kavetski, D.; Shin, D.; Tuteja, N.; Kuczera, G.
2019Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchmentsMcInerney, D.; Kavetski, D.; Thyer, M.; Lerat, J.; Kuczera, G.
2017Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errorsMcInerney, D.; Thyer, M.; Kavetski, D.; Lerat, J.; Kuczera, G.

Discover