53 citations as recorded by crossref.

1. Parsimonious statistical learning models for low-flow estimation J. Laimighofer et al. https://doi.org/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 https://doi.org/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 https://doi.org/10.1002/rra.3006
4. Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling Y. Zhang et al. https://doi.org/10.1016/j.jhydrol.2014.06.032
5. Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer https://doi.org/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 https://doi.org/10.1016/j.ejrh.2024.101730
7. Regional prediction of flow-duration curves using a three-dimensional kriging A. Castellarin https://doi.org/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 https://doi.org/10.5194/hess-19-2925-2015
9. Sources of uncertainty in a probabilistic flood risk model B. Winter et al. https://doi.org/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. https://doi.org/10.5194/hess-17-1575-2013
11. Accelerating flood warnings by 10 hours: the power of river network topology in AI-enhanced flood forecasting H. Wang et al. https://doi.org/10.1038/s44304-025-00083-6
12. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. https://doi.org/10.1080/02626667.2013.803183
13. A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams K. Risva et al. https://doi.org/10.1007/s11269-018-2060-z
14. A neural network ensemble approach with jittered basin characteristics for regionalized low flow frequency analysis K. Ahn https://doi.org/10.1016/j.jhydrol.2020.125501
15. Comparative assessment of predictions in ungauged basins – Part 2: Flood and low flow studies J. Salinas et al. https://doi.org/10.5194/hess-17-2637-2013
16. 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. https://doi.org/10.1016/j.pce.2011.05.013
17. Change in low flows due to catchment management dynamics—Application of a comparative modelling approach T. Gebremicael et al. https://doi.org/10.1002/hyp.13715
18. A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. https://doi.org/10.5194/hess-22-4633-2018
19. Data-driven catchment classification: application to the pub problem M. Di Prinzio et al. https://doi.org/10.5194/hess-15-1921-2011
20. Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes G. Mendicino & A. Senatore https://doi.org/10.1016/j.jhydrol.2012.12.017
21. Improving regional low-flow modeling in ungauged French catchments using the SMASH platform: A comparative assessment of grid-based parsimonious GR hydrological models and ANN-based regionalization strategies T. de Fournas et al. https://doi.org/10.1016/j.ejrh.2026.103629
22. Operational Bayesian GLS Regression for Regional Hydrologic Analyses D. Reis et al. https://doi.org/10.1029/2019WR026940
23. Interpolace vybraných průtoků v nepozorovaných povodích IV. řádu v povodí Otavy L. Bureš et al. https://doi.org/10.46555/VTEI.2024.05.002
24. A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. https://doi.org/10.1016/j.jhydrol.2013.04.022
25. Comparing Spatial Interpolation Schemes for Constructing a Flow Duration Curve in an Ungauged Basin M. Waseem et al. https://doi.org/10.1007/s11269-015-0939-5
26. Modelling bivariate extreme precipitation distribution for data‐scarce regions using Gumbel–Hougaard copula with maximum entropy estimation L. Qian et al. https://doi.org/10.1002/hyp.11406
27. Development and evaluation of an extended inverse distance weighting method for streamflow estimation at an ungauged site M. Waseem et al. https://doi.org/10.2166/nh.2015.117
28. Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. https://doi.org/10.1007/s00477-018-1523-3
29. Spatial prediction on river networks: comparison of top-kriging with regional regression G. Laaha et al. https://doi.org/10.1002/hyp.9578
30. Development of a kriging-based regional flood frequency analysis technique for South-East Australia S. Ali & A. Rahman https://doi.org/10.1007/s11069-022-05488-4
31. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
32. What Do They Have in Common? Drivers of Streamflow Spatial Correlation and Prediction of Flow Regimes in Ungauged Locations A. Betterle et al. https://doi.org/10.1002/2017WR021144
33. Low-flow frequency analysis at ungauged sites based on regionally estimated streamflows A. Requena et al. https://doi.org/10.1016/j.jhydrol.2018.06.016
34. Catchment Classification Framework in Hydrology: Challenges and Directions B. Sivakumar et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000837
35. A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data W. Knoben et al. https://doi.org/10.1029/2018WR022913
36. A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. https://doi.org/10.1080/02626667.2021.1879389
37. Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means F. PESSOA et al. https://doi.org/10.1590/0001-3765202120190747
38. A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. https://doi.org/10.1111/risa.12863
39. 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. https://doi.org/10.1007/s10661-022-10312-4
40. Geostatistical prediction of flow–duration curves in an index-flow framework A. Pugliese et al. https://doi.org/10.5194/hess-18-3801-2014
41. Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. https://doi.org/10.1016/j.advwatres.2016.06.008
42. Characterizing the spatial correlation of daily streamflows A. Betterle et al. https://doi.org/10.1002/2016WR019195
43. Clines in Africa: does size vary in the same way among widespread sub‐Saharan monkeys? A. Cardini et al. https://doi.org/10.1111/j.1365-2699.2012.02783.x
44. Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates N. Loonat et al. https://doi.org/10.1029/2019WR026240
45. Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria J. Laimighofer et al. https://doi.org/10.5194/hess-26-4553-2022
46. Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. https://doi.org/10.1080/02626667.2018.1445855
47. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. https://doi.org/10.1029/2017WR021895
48. Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models R. Arsenault et al. https://doi.org/10.5194/hess-27-139-2023
49. Improving predictions of hydrological low-flow indices in ungaged basins using machine learning S. Worland et al. https://doi.org/10.1016/j.envsoft.2017.12.021
50. Streamflow Forecasting without Models W. Krajewski et al. https://doi.org/10.1175/JHM-D-19-0292.1
51. Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. https://doi.org/10.5194/essd-14-4435-2022
52. A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics N. Rai et al. https://doi.org/10.1016/j.atech.2024.100698
53. Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm M. Hong et al. https://doi.org/10.1155/2017/4293731