42 citations as recorded by crossref.

1. Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia B. Xie et al.
2. SMamba-KAN: an advanced temporal-nonlinear model for precise water level prediction X. Yan et al.
3. Hydrological Models O. Bonacci
4. Real-Time Urban Flood Forecasting Systems for Southeast Asia—A Review of Present Modelling and Its Future Prospects D. Chitwatkulsiri & H. Miyamoto
5. Runoff evolution responses to climate change: A case study in the headwater area of Yellow River, China J. Mei et al.
6. Enhanced SWAT calibration through intelligent range-based parameter optimization L. Zhao et al.
7. Prediction of future runoff in the Lancang River Basin based on CMIP6 under climate change K. Lu et al.
8. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Y. Boulaguiem et al.
9. Revising calibration of a lumped watershed model to simulate extreme streamflow A. Patil et al.
10. An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al.
11. Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al.
12. Assessment of Flood Risk Map under Climate Change RCP8.5 Scenarios in Taiwan Y. Chen et al.
13. Estimating storm runoff extreme in small ungauged catchments using an integrated modeling approach Z. Zhao et al.
14. Towards parameter estimation in global hydrological models J. Kupzig et al.
15. Development and Application of a Real-Time Flood Forecasting System (RTFlood System) in a Tropical Urban Area: A Case Study of Ramkhamhaeng Polder, Bangkok, Thailand D. Chitwatkulsiri et al.
16. Quantifying the Contribution of Global Precipitation Product Uncertainty to Ensemble Discharge Simulations and Projections: A Case Study in the Liujiang Catchment, Southwest China Y. Chang et al.
17. A Vine Copula‐Based Polynomial Chaos Framework for Improving Multi‐Model Hydroclimatic Projections at a Multi‐Decadal Convection‐Permitting Scale B. Zhang et al.
18. Rainfall–runoff modelling in a tropical climate (Citarum basin, West Java, Indonesia): Model and climate data intercomparison G. Vesuviano et al.
19. A multi-step strategy for enhancing the rainfall-runoff modeling: combination of lumped and artificial intelligence-based hydrological models B. Mohammadi et al.
20. Current and future risk of unprecedented hydrological droughts in Great Britain W. Chan et al.
21. To tame a land: Limiting factors in model performance for the multi-objective calibration of a pan-European, semi-distributed hydrological model for discharge and sediments C. Brendel et al.
22. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al.
23. The role of decision support tools in drought management: Insights from the Netherlands M. Lam et al.
24. Coupling variable infiltration capacity (VIC) reservoir model and regression model for improving inflow estimation into Srisailam Reservoir, India A. E et al.
25. How well do hydrological models simulate streamflow extremes and drought-to-flood transitions? E. Muñoz-Castro et al.
26. Extreme rainfall intensifies nitrogen responses through baseflow in arid and semi-arid river basins J. Dou et al.
27. Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution P. Huang et al.
28. Uncertainty in estimating the relative change of design floods under climate change: a stylized experiment with process-based, deep learning, and hybrid models S. Poudel et al.
29. Non-stationary flood frequency analysis by a new decomposition-based method considering external forcing and internal variability of the climate system Y. Liu et al.
30. Partitioning uncertainties of extreme flood estimates using long continuous simulations E. Kritidou et al.
31. An extremeness threshold determines the regional response of floods to changes in rainfall extremes M. Brunner et al.
32. The KNMI Large Ensemble Time Slice (KNMI–LENTIS) L. Muntjewerf et al.
33. Meta-LSTM in hydrology: Advancing runoff predictions through model-agnostic meta-learning K. Cai et al.
34. Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies M. Tarek et al.
35. Linking error measures to model questions B. Jacobs et al.
36. Integrating deep learning into future hydrological modeling under climate change scenarios in an arid region M. Nikoo
37. Complex High‐ and Low‐Flow Networks Differ in Their Spatial Correlation Characteristics, Drivers, and Changes M. Brunner & E. Gilleland
38. Patrones de Precipitación asociados a Extremos de Caudal Medio Mensual en la Provincia de Corrientes (Argentina) P. Blanco
39. A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure J. Kupzig & M. Flörke
40. Uncertainty and sensitivity analysis of a travel‐time distribution‐based stream water electrical conductivity model Z. Riazi & A. Western
41. Uncertainty propagation from gridded precipitation datasets to streamflow simulations: application to the Reno River basin (Italy) O. Cenobio-Cruz & G. Di Baldassarre
42. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al.