57 citations as recorded by crossref.

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17. Value of process understanding in the era of machine learning: A case for recession flow prediction P. Istalkar et al.
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19. AR-GARCH with Exogenous Variables as a Postprocessing Model for Improving Streamflow Forecasts X. Zha et al.
20. A back-fitting algorithm to improve real-time flood forecasting X. Zhang et al.
21. Methodology for Calculating Daily Streamflow of Russian Rivers Using the HBV-96 Runoff Formation Model S. Borshch et al.
22. A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al.
23. Characterization of regional variability of seasonal water balance within Omo-Ghibe River Basin, Ethiopia A. Jillo et al.
24. Short-range Streamflow Forecasting of the Kama River Based on the HBV Model Application Y. Simonov et al.
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27. Improving flow forecasting by error correction modelling in altered catchment conditions F. Pianosi et al.
28. Evaluation of loss models and effect of LU/LC changes on surface runoff in Subarnarekha river basin A. Dandapat & S. Sahoo
29. Dealing with Uncertainty in Water Distribution System Models: A Framework for Real-Time Modeling and Data Assimilation C. Hutton et al.
30. Current awareness
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32. Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts A. Gragne et al.
33. Coupling the k-nearest neighbor procedure with the Kalman filter for real-time updating of the hydraulic model in flood forecasting K. Liu et al.
34. Real-Time Flood Forecasting System: Case Study of Hsia-Yun Watershed, Taiwan J. Huang et al.
35. Error correction-based forecasting of reservoir water levels: Improving accuracy over multiple lead times X. Zhang et al.
36. Using multiple watershed models to assess the water quality impacts of alternate land development scenarios for a small community A. Sharifi et al.
37. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al.
38. Comparative Study of Three Updating Procedures for Real-Time Flood Forecasting Z. Liu et al.
39. A dual-pass error-correction technique for forecasting streamflow T. Pagano et al.
40. Application of Hydrological and Sediment Modeling with Limited Data in the Abbay (Upper Blue Nile) Basin, Ethiopia B. Abebe et al.
41. Sequential Method with Incremental Analysis Update to Retrieve Leaf Area Index from Time Series MODIS Reflectance Data J. Jiang et al.
42. Short-range Streamflow Forecasting for Russian Rivers Using the HBV-96 Model and the COSMO-Ru System Y. Simonov et al.
43. Output updating of a physically based model for gauged and ungauged sites of the Upper Thames River watershed P. Jeevaragagam & S. Simonovic
44. Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al.
45. Automatic state updating for operational streamflow forecasting via variational data assimilation D. Seo et al.
46. Error‐correction methods and evaluation of an ensemble based hydrological forecasting system for the Upper Danube catchment K. Bogner & M. Kalas
47. Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions Y. Demissie et al.
48. Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative assessment A. Khatun et al.
49. Climate change impacts and reservoir management at the Koyisha hydropower Dam, Omo Gibe River Basin, Ethiopia A. Hailu et al.
50. Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models T. Xu et al.
51. Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al.
52. Bounding linear rainfall-runoff models with fractional derivatives applied to a barren catchment of the Jordan Rift Valley K. Unami et al.
53. Comparison of fuzzy inference systems for streamflow prediction M. ÖZGER
54. Real-time flow forecasting in the absence of quantitative precipitation forecasts: A multi-model approach M. Goswami & K. O’Connor
55. Assessing the relative importance of parameter and forcing uncertainty and their interactions in conceptual hydrological model simulations E. Mockler et al.
56. Real‐time deployment of artificial neural network forecasting models: Understanding the range of applicability G. Bowden et al.
57. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al.