38 citations as recorded by crossref.

1. Floods and Flood-mindedness in Early Colonial Australia G. Karskens https://doi.org/10.1093/envhis/emv186
2. Precipitation and floodiness E. Stephens et al. https://doi.org/10.1002/2015GL066779
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 https://doi.org/10.1080/08120099.2010.492910
4. Centennial hydroclimatic and anthropogenic processes of South East South America modulate interannual and decadal river discharge L. Perez et al. https://doi.org/10.1016/j.scitotenv.2021.146733
5. Trends and shifts in streamflow in Hawai‘i, 1913–2008 M. Bassiouni & D. Oki https://doi.org/10.1002/hyp.9298
6. Flood frequency analysis: assumptions and alternatives R. Kidson & K. Richards https://doi.org/10.1191/0309133305pp454ra
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. https://doi.org/10.1002/joc.1601
8. Trends in the distributions of aggregated monthly precipitation over the La Plata Basin M. Doyle et al. https://doi.org/10.1002/joc.2429
9. Practical responses to water and climate policy implementation challenges K. Daniell https://doi.org/10.7158/W13-WC01.2013.17.2
10. Climate Variability and Floods—A Global Review Z. Kundzewicz et al. https://doi.org/10.3390/w11071399
11. Impact Evaluation Using Nonstationary Parameters for Historical and Projected Extreme Precipitation M. Khan et al. https://doi.org/10.3390/w15223958
12. Multidecadal-to-centennial SST variability in the MPI-ESM simulation ensemble for the last millennium D. Zanchettin et al. https://doi.org/10.1007/s00382-012-1361-9
13. Defining the climatic signal in stream salinity trends using the Interdecadal Pacific Oscillation and its rate of change V. McNeil & M. Cox https://doi.org/10.5194/hess-11-1295-2007
14. Investigation of changes in the annual maximum flood in the Yellow River basin, China P. Bai et al. https://doi.org/10.1016/j.quaint.2015.04.053
15. Comparing instrumental, palaeoclimate, and projected rainfall data: Implications for water resources management and hydrological modelling M. Armstrong et al. https://doi.org/10.1016/j.ejrh.2020.100728
16. Trends in flood magnitude, frequency and seasonality in Germany in the period 1951–2002 T. Petrow & B. Merz https://doi.org/10.1016/j.jhydrol.2009.03.024
17. Secular Regime Shifts, Global Warming and Sydney's Water Supply R. WARNER https://doi.org/10.1111/j.1745-5871.2009.00593.x
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. https://doi.org/10.3390/w11061246
19. Climate change and non-stationary flood risk for the upper Truckee River basin L. Condon et al. https://doi.org/10.5194/hess-19-159-2015
20. The importance of understanding drivers of hydroclimatic variability for robust flood risk planning in the coastal zone A. Kiem & D. Verdon-Kidd https://doi.org/10.7158/W13-015.2013.17.2
21. Frequencies of future extreme events under conditions of changing hydrologic regime R. Clarke https://doi.org/10.1029/2002GL016214
22. Strong influence of El Niño Southern Oscillation on flood risk around the world P. Ward et al. https://doi.org/10.1073/pnas.1409822111
23. Current Awareness https://doi.org/10.1002/hyp.5037
24. Multidecadal variability of rainfall and streamflow: Eastern Australia D. Verdon et al. https://doi.org/10.1029/2004WR003234
25. Reconstructing the ca. 100-year flood in Northern Thailand R. Kidson et al. https://doi.org/10.1016/j.geomorph.2005.02.009
26. Multi‐decadal variability of drought risk, eastern Australia A. Kiem & S. Franks https://doi.org/10.1002/hyp.1460
27. Multi‐decadal variability of flood risk A. Kiem et al. https://doi.org/10.1029/2002GL015992
28. Age and hydrological significance of lichen limits on sandstone river channels near sydney, australia J. Sammut & W. Erskine https://doi.org/10.1111/geoa.12016
29. Low flows in France and their relationship to large-scale climate indices I. Giuntoli et al. https://doi.org/10.1016/j.jhydrol.2012.12.038
30. Modeling extremal streamflow using deep learning approximations and a flexible spatial process R. Majumder et al. https://doi.org/10.1214/23-AOAS1847
31. The re-greening of east coast Australian rivers: An unprecedented riparian transformation T. Cohen et al. https://doi.org/10.1016/j.scitotenv.2021.151309
32. Statistical Modeling of Extreme Rainfall in Southwest Western Australia Y. Li et al. https://doi.org/10.1175/JCLI-3296.1
33. Climate related changes to flood regimes show an increasing rainfall influence D. Burn & P. Whitfield https://doi.org/10.1016/j.jhydrol.2023.129075
34. Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates J. López & F. Francés https://doi.org/10.5194/hess-17-3189-2013
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 https://doi.org/10.2166/nh.2018.171
36. Machine Learning Modeling of Climate Variability Impact on River Runoff M. Norel et al. https://doi.org/10.3390/w13091177
37. Hydrological signatures of flood trends on German rivers: Flood frequencies, flood heights and specific stages H. Bormann et al. https://doi.org/10.1016/j.jhydrol.2011.04.019
38. Estimating extreme flood events – assumptions, uncertainty and error S. Franks et al. https://doi.org/10.5194/piahs-369-31-2015