Flood Forecasting Publications

Publications in Flood Forecasting

Explore the most influential research papers and scholarly works that have shaped Flood Forecasting. Use the concept filter below to focus on a specific sub-area of research.

Flood Forecasting

5.2K

Publications

315.3K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
River flow forecasting through conceptual models part I — A discussion of principles J.E. Nash, J. V. Sutcliffe Journal of Hydrology Hydrological PredictionRiver Basin ManagementEngineeringWater ResourcesConceptual Models Part	1970	23.6K
Artificial Neural Network Modeling of the Rainfall‐Runoff Process Kuolin Hsu, Hoshin V. Gupta, Soroosh Sorooshian Water Resources Research Hydrological PredictionEngineeringHydrologic EngineeringEarth ScienceCatchment Scale	1995	1.5K
Evaluation of 1D and 2D numerical models for predicting river flood inundation M. S. Horritt, Paul Bates Journal of Hydrology Flash FloodEngineeringWater ResourcesCivil EngineeringGeography	2002	1.2K
Flash Flood Forecasting: An Ingredients-Based Methodology Charles A. Doswell, Harold E. Brooks, Robert A. Maddox Weather and Forecasting Storm SurgeEngineeringWeather ForecastingFlood ControlEarth Science	1996	1.2K
Long‐range experimental hydrologic forecasting for the eastern United States Andrew W. Wood, Edwin P. Maurer, Arun Kumar, Journal of Geophysical Research Atmospheres Hydrological PredictionEngineeringHydrologic Forecasting StrategyWeather ForecastingClimate Modeling	2002	1.1K
The WSR-88D Rainfall Algorithm Richard Fulton, Jay P. Breidenbach, Dong-Jun Seo, Weather and Forecasting Hydrological PredictionWsr-88d Rainfall AlgorithmEngineeringHydrologic EngineeringWeather Forecasting	1998	970
Hydrological modelling using artificial neural networks Christian W. Dawson, Robert L. Wilby Progress in Physical Geography Earth and Environment Hydrological PredictionEngineeringHydrologic EngineeringWater Resources EngineeringAnn Modelling	2001	855
Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting Xuan-Hien Le, Hung Viet Ho, Giha Lee, Water Forecasting MethodologyHydrological PredictionEngineeringMachine LearningLong Short-term Memory	2019	842
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur Journal of Hydrology Flash FloodHydrological DisasterEngineeringData ScienceDecision Tree	2013	818
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types Mahyat Shafapour Tehrany, Biswajeet Pradhan, Shattri Mansor, CATENA Flash FloodHydrological DisasterEngineeringWater ResourcesCivil Engineering	2014	787
What Role Does Hydrological Science Play in the Age of Machine Learning? Grey Nearing, Frederik Kratzert, Alden Keefe Sampson, Water Resources Research Hydrological PredictionEngineeringMachine LearningHydrologic EngineeringEvent Understanding	2020	697
An artificial neural network approach to rainfall-runoff modelling Christian W. Dawson, Robert L. Wilby Hydrological Sciences Journal Forecasting MethodologyEngineeringRivers AmberFlood ControlRainfall-runoff Modelling	1998	689

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