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Results 21-30 of 61 (Search time: 0.005 seconds).
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PreviewIssue DateTitleAuthor(s)
2012Diagnosing non-stationary behaviour in a hydrological modelWestra, S.; Thyer, M.; Leonard, M.; Kavetski, D.; Lambert, M.; Hydrology and Water Resources Symposium (34th : 2012 : Sydney)
2015How and why are floods changing in Australia?Johnson, F.; White, C.; van Dijk, A.; Ekstrom, M.; Evans, J.; Jakob, D.; Kiem, A.; Leonard, M.; Rouillard, A.; Westra, S.; 36th Hydrology and Water Resources Symposium (HWRS 2015) (7 Dec 2015 - 10 Dec 2015 : Hobart, Tas)
2006Efficient simulation of a space-time Neyman-Scott rainfall modelLeonard, M.; Metcalfe, A.; Lambert, M.
2006A simulation method for calibrating cluster-process rainfall modelsLeonard, M.; Lambert, M.; Metcalfe, A.; Kuczera, G.; Geoff Brayford,; Hydrology and Water Resources Symposium (30th : 2006 : Launceston, Tas.)
2006Statistical characteristics of rainstorms derived from weather radar imagesQin, J.; Leonard, M.; Kuczera, G.; Thyer, M.; Lambert, M.; Metcalfe, A.; Geoff Brayford,; Hydrology and Water Resources Symposium (30th : 2006 : Launceston, Tas.)
2017A global-scale investigation of trends in annual maximum streamflowDo, X.; Westra, S.; Leonard, M.
2018The Global Streamflow Indices and Metadata archive (GSIM)-part 1: the production of a daily streamflow archive and metadataDo, H.; Gudmundsson, L.; Leonard, M.; Westra, S.
2018The Global Streamflow Indices and Metadata archive (GSIM)-part 2: quality control, time-series indices and homogeneity assessmentGudmundsson, L.; Do, H.; Leonard, M.; Westra, S.
2019Observed trends in global indicators of mean and extreme streamflowGudmundsson, L.; Leonard, M.; Do, H.X.; Westra, S.; Seneviratne, S.I.
2018Mapping dependence between extreme rainfall and storm surgeWu, W.; Mcinnes, K.; O'grady, J.; Hoeke, R.; Leonard, M.; Westra, S.