38 citations as recorded by crossref.

1. Floods and Flood-mindedness in Early Colonial Australia G. Karskens
2. Precipitation and floodiness E. Stephens et al.
3. Evaluating the relative contributions of vegetation and flooding in controlling channel widening: the case of the Nepean River, southeastern Australia T. Hubble & I. Rutherfurd
4. Centennial hydroclimatic and anthropogenic processes of South East South America modulate interannual and decadal river discharge L. Perez et al.
5. Trends and shifts in streamflow in Hawai‘i, 1913–2008 M. Bassiouni & D. Oki
6. Flood frequency analysis: assumptions and alternatives R. Kidson & K. Richards
7. On ENSO impacts on European wintertime rainfalls and their modulation by the NAO and the Pacific multi‐decadal variability described through the PDO index D. Zanchettin et al.
8. Trends in the distributions of aggregated monthly precipitation over the La Plata Basin M. Doyle et al.
9. Practical responses to water and climate policy implementation challenges K. Daniell
10. Climate Variability and Floods—A Global Review Z. Kundzewicz et al.
11. Impact Evaluation Using Nonstationary Parameters for Historical and Projected Extreme Precipitation M. Khan et al.
12. Multidecadal-to-centennial SST variability in the MPI-ESM simulation ensemble for the last millennium D. Zanchettin et al.
13. Defining the climatic signal in stream salinity trends using the Interdecadal Pacific Oscillation and its rate of change V. McNeil & M. Cox
14. Investigation of changes in the annual maximum flood in the Yellow River basin, China P. Bai et al.
15. Comparing instrumental, palaeoclimate, and projected rainfall data: Implications for water resources management and hydrological modelling M. Armstrong et al.
16. Trends in flood magnitude, frequency and seasonality in Germany in the period 1951–2002 T. Petrow & B. Merz
17. Secular Regime Shifts, Global Warming and Sydney's Water Supply R. WARNER
18. Non-Stationary Bayesian Modeling of Annual Maximum Floods in a Changing Environment and Implications for Flood Management in the Kabul River Basin, Pakistan A. Mehmood et al.
19. Climate change and non-stationary flood risk for the upper Truckee River basin L. Condon et al.
20. The importance of understanding drivers of hydroclimatic variability for robust flood risk planning in the coastal zone A. Kiem & D. Verdon-Kidd
21. Frequencies of future extreme events under conditions of changing hydrologic regime R. Clarke
22. Strong influence of El Niño Southern Oscillation on flood risk around the world P. Ward et al.
23. Current Awareness
24. Multidecadal variability of rainfall and streamflow: Eastern Australia D. Verdon et al.
25. Reconstructing the ca. 100-year flood in Northern Thailand R. Kidson et al.
26. Multi‐decadal variability of drought risk, eastern Australia A. Kiem & S. Franks
27. Multi‐decadal variability of flood risk A. Kiem et al.
28. Age and hydrological significance of lichen limits on sandstone river channels near sydney, australia J. Sammut & W. Erskine
29. Low flows in France and their relationship to large-scale climate indices I. Giuntoli et al.
30. Modeling extremal streamflow using deep learning approximations and a flexible spatial process R. Majumder et al.
31. The re-greening of east coast Australian rivers: An unprecedented riparian transformation T. Cohen et al.
32. Statistical Modeling of Extreme Rainfall in Southwest Western Australia Y. Li et al.
33. Climate related changes to flood regimes show an increasing rainfall influence D. Burn & P. Whitfield
34. Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates J. López & F. Francés
35. Assessing the predictability of MLR models for long-term streamflow using lagged climate indices as predictors: a case study of NSW (Australia) R. Esha & M. Imteaz
36. Machine Learning Modeling of Climate Variability Impact on River Runoff M. Norel et al.
37. Hydrological signatures of flood trends on German rivers: Flood frequencies, flood heights and specific stages H. Bormann et al.
38. Estimating extreme flood events – assumptions, uncertainty and error S. Franks et al.