52 citations as recorded by crossref.

1. Parsimonious statistical learning models for low-flow estimation J. Laimighofer et al. 10.5194/hess-26-129-2022
2. Use of Cokriging and Map Correlation to Study Hydrological Response Patterns and Select Reference Stream Gauges for Ungauged Catchments M. Zelelew & K. Alfredsen 10.1061/(ASCE)HE.1943-5584.0000803
3. Regional Statistical and Precipitation–Runoff Modelling for Ecological Applications: Prediction of Hourly Streamflow in Regulated Rivers and Ungauged Basins T. Hailegeorgis & K. Alfredsen 10.1002/rra.3006
4. Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling Y. Zhang et al. 10.1016/j.jhydrol.2014.06.032
5. Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer 10.5194/hess-20-2721-2016
6. Using spot flow measurements in a regionalized hydrological model to improve the low flow statistical estimations of rivers: The case of Réunion Island N. Folton 10.1016/j.ejrh.2024.101730
7. Regional prediction of flow-duration curves using a three-dimensional kriging A. Castellarin 10.1016/j.jhydrol.2014.03.050
8. TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks M. Müller & S. Thompson 10.5194/hess-19-2925-2015
9. Sources of uncertainty in a probabilistic flood risk model B. Winter et al. 10.1007/s11069-017-3135-5
10. Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach? S. Archfield et al. 10.5194/hess-17-1575-2013
11. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
12. A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams K. Risva et al. 10.1007/s11269-018-2060-z
13. A neural network ensemble approach with jittered basin characteristics for regionalized low flow frequency analysis K. Ahn 10.1016/j.jhydrol.2020.125501
14. Comparative assessment of predictions in ungauged basins – Part 2: Flood and low flow studies J. Salinas et al. 10.5194/hess-17-2637-2013
15. Calibration of a rainfall–runoff model at regional scale by optimising river discharge statistics: Performance analysis for the average/low flow regime L. Lombardi et al. 10.1016/j.pce.2011.05.013
16. Change in low flows due to catchment management dynamics—Application of a comparative modelling approach T. Gebremicael et al. 10.1002/hyp.13715
17. A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. 10.5194/hess-22-4633-2018
18. Data-driven catchment classification: application to the pub problem M. Di Prinzio et al. 10.5194/hess-15-1921-2011
19. Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes G. Mendicino & A. Senatore 10.1016/j.jhydrol.2012.12.017
20. Operational Bayesian GLS Regression for Regional Hydrologic Analyses D. Reis et al. 10.1029/2019WR026940
21. Interpolace vybraných průtoků v nepozorovaných povodích IV. řádu v povodí Otavy L. Bureš et al. 10.46555/VTEI.2024.05.002
22. A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. 10.1016/j.jhydrol.2013.04.022
23. Comparing Spatial Interpolation Schemes for Constructing a Flow Duration Curve in an Ungauged Basin M. Waseem et al. 10.1007/s11269-015-0939-5
24. Modelling bivariate extreme precipitation distribution for data‐scarce regions using Gumbel–Hougaard copula with maximum entropy estimation L. Qian et al. 10.1002/hyp.11406
25. Development and evaluation of an extended inverse distance weighting method for streamflow estimation at an ungauged site M. Waseem et al. 10.2166/nh.2015.117
26. Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. 10.1007/s00477-018-1523-3
27. Spatial prediction on river networks: comparison of top-kriging with regional regression G. Laaha et al. 10.1002/hyp.9578
28. Development of a kriging-based regional flood frequency analysis technique for South-East Australia S. Ali & A. Rahman 10.1007/s11069-022-05488-4
29. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
30. What Do They Have in Common? Drivers of Streamflow Spatial Correlation and Prediction of Flow Regimes in Ungauged Locations A. Betterle et al. 10.1002/2017WR021144
31. Low-flow frequency analysis at ungauged sites based on regionally estimated streamflows A. Requena et al. 10.1016/j.jhydrol.2018.06.016
32. Catchment Classification Framework in Hydrology: Challenges and Directions B. Sivakumar et al. 10.1061/(ASCE)HE.1943-5584.0000837
33. A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data W. Knoben et al. 10.1029/2018WR022913
34. A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. 10.1080/02626667.2021.1879389
35. Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means F. PESSOA et al. 10.1590/0001-3765202120190747
36. A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. 10.1111/risa.12863
37. Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula V. Ruiz-Ortiz et al. 10.1007/s10661-022-10312-4
38. Geostatistical prediction of flow–duration curves in an index-flow framework A. Pugliese et al. 10.5194/hess-18-3801-2014
39. Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. 10.1016/j.advwatres.2016.06.008
40. Characterizing the spatial correlation of daily streamflows A. Betterle et al. 10.1002/2016WR019195
41. Clines in Africa: does size vary in the same way among widespread sub‐Saharan monkeys? A. Cardini et al. 10.1111/j.1365-2699.2012.02783.x
42. Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates N. Loonat et al. 10.1029/2019WR026240
43. Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria J. Laimighofer et al. 10.5194/hess-26-4553-2022
44. Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. 10.1080/02626667.2018.1445855
45. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
46. Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models R. Arsenault et al. 10.5194/hess-27-139-2023
47. Improving predictions of hydrological low-flow indices in ungaged basins using machine learning S. Worland et al. 10.1016/j.envsoft.2017.12.021
48. Streamflow Forecasting without Models W. Krajewski et al. 10.1175/JHM-D-19-0292.1
49. Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
50. A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics N. Rai et al. 10.1016/j.atech.2024.100698
51. Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm M. Hong et al. 10.1155/2017/4293731
52. Design rainfall depth estimation through two regional frequency analysis methods in Hanjiang River Basin, China Y. Xu et al. 10.1007/s00704-011-0497-6