113 citations as recorded by crossref.

1. Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al.
2. Gradual cooperative coverage models for optimally locating rain gauges on an urban transportation network F. Simoyama et al.
3. Python program for spatial reduction and reconstruction method in flood inundation modelling Y. Zhou et al.
4. Evaluating terrain-based HAND-SRC flood mapping model in low-relief rural plains using high resolution topography and crowdsourced data H. Sabeh et al.
5. Identifying Vegetation Succession Sites to Repurpose as Storage Spaces in the Alluvial Plain of the Lower Tone River Basin, Japan M. So & S. Yokota
6. Performance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methods N. Hocini et al.
7. DEM-based pluvial flood inundation modeling at a metropolitan scale A. Samadi et al.
8. Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index M. Preisser et al.
9. Flooding, nonlinear scaling and Jensen’s inequality: Analyzing changes in inundation extent with river discharge nonstationarity A. Baruah et al.
10. Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model A. Rostami et al.
11. Knowledge graphs to support real‐time flood impact evaluation J. Johnson et al.
12. Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region Z. Li et al.
13. Variability of Annual and Monthly Streamflow Droughts over the Southeastern United States K. Raczynski & J. Dyer
14. Estimating floodwater depth using SAR-derived flood inundation maps and geomorphic model in kosi river basin (India) B. Parida et al.
15. Uncovering the 2024 Rio Grande do Sul floods: land use change, extreme rainfall, and the urgent need for local adaptation in south Brazil V. Donoso et al.
16. Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events K. Drewry et al.
17. An area preserving method for improved categorical raster resampling J. Johnson & K. Clarke
18. Giving gully detection a HAND – Testing the scalability and transferability of a semi-automated object-orientated approach to map permanent gullies G. Olivier et al.
19. GPU-accelerated city-scale urban flood forecasting for real-time decision-making A. Wadhwa et al.
20. Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning T. Bindas et al.
21. What Has Rainfall Got to Do With It? Landscape Antecedent Conditions Have a First Order Effect on Flood Inundation Extent in the Hawkesbury‐Nepean Valley W. Sharples et al.
22. Nationwide Prediction of Flood Damage Costs in the Contiguous United States Using ML-Based Models: A Data-Driven Approach K. Adel et al.
23. Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections S. Cohen et al.
24. Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage F. Aristizabal et al.
25. Evaluating Earth observation products for Catchment-Scale operational flood monitoring and risk management in a sparsely gauged to ungauged river basin in Nigeria D. Idowu et al.
26. Copernicus User Uptake: From Data to Applications L. Apicella et al.
27. Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina C. Richardson & R. Beighley
28. Differentiable, Learnable, Regionalized Process‐Based Models With Multiphysical Outputs can Approach State‐Of‐The‐Art Hydrologic Prediction Accuracy D. Feng et al.
29. Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps J. Gutenson et al.
30. Using LiDAR-DEM based rapid flood inundation modelling framework to map floodplain inundation extent and depth Y. Zhang
31. Enhanced prediction of highway flood inundation through Bayesian generalized linear geostatistical models Y. Li et al.
32. Semivariogram-based distance function for gradual coverage location models F. Simoyama et al.
33. A novel hybrid framework of high-resolution flood susceptibility mapping in ungauged mountainous regions K. Li et al.
34. Sea-level rise and spatial risk assessment of the coastal heritage sites in Bangladesh M. Bokshi et al.
35. Optimizing fluvial flood mitigation strategies: A multi-objective approach for cost-effective and socially-aware infrastructure feasibility analysis L. Luo et al.
36. FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities C. Liu & A. Mostafavi
37. Advancing regional flood mapping in a changing climate: A HAND‐based approach for New Jersey with innovations in catchment analysis D. Bazzett et al.
38. REFLEX—A novel method for the rapid estimation of flood extent M. Arcorace et al.
39. The NextGen Water Resources Modeling Framework: Community Innovation at the Intersection of Hydrologic, Data and Computer Sciences F. Ogden et al.
40. Evaluating the reliability of synthetic rating curves for continental scale flood mapping A. Ghanghas et al.
41. Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data J. Jung et al.
42. Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al.
43. Rapid Probabilistic Inundation Mapping Using Local Thresholds and Sentinel-1 SAR Data on Google Earth Engine J. Liang et al.
44. [Retracted] Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model Q. Liu et al.
45. A Value-Based Risk Assessment of Water-Related Hazards: The Archaeological Site of the Sanctuary of Asklepios at Epidaurus A. Balatsoukas et al.
46. Assessing streamflow forecast accuracy for flash flood events in Puerto Rico G. Trossi-Torres et al.
47. Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions D. Kim et al.
48. Simulating block-scale flood inundation and streamflow using the WRF-Hydro model in the New York City metropolitan area B. Kilicarslan & M. Temimi
49. A new method for supporting interpretation of paleochannels in a large scale — Detrended Digital Elevation Model Interpretation S. Zhang et al.
50. Interpretable machine learning for predicting rating curve parameters using channel geometry and hydrological attributes across the United States A. Baruah et al.
51. An Open‐Source Python Library for Varying Model Parameters and Automating Concurrent Simulations of the National Water Model A. Raney et al.
52. Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study Z. Li et al.
53. Improving flood hazard datasets using a low-complexity, probabilistic floodplain mapping approach R. Diehl et al.
54. A Multiscale Method to Improve Social Vulnerability Estimation for Water Infrastructure System Planning and Management S. Rivera et al.
55. Streamflow Simulation and Interpretability Analysis in Multi-Climatic Basins Using Physics-Based and Data-Driven Hybrid Models J. Chen et al.
56. Fast arrival-time modelling of dike breach floods for effective disaster management L. Besseling et al.
57. Assessing the simulation of streamflow with the LSTM model across the continental United States using the MOPEX dataset A. Tounsi et al.
58. Investigating pre-Columbian floristic legacy effects using machine learning in the southern Atlantic Forest, Brazil B. Harris et al.
59. Actionable Information in Flood Risk Communications and the Potential for New Web-Based Tools for Long-Term Planning for Individuals and Community R. Mostafiz et al.
60. Riverine flood risk assessment with a combined model chain in southeastern China L. Wang et al.
61. Predicting synthetic rating curve adjustment factors with explainable machine learning for enhancing the United States operational flood inundation mapping framework A. Baruah et al.
62. Climate-Informed flood damage assessment in the cropland area across the midwestern USA R. Lazin et al.
63. Application of a Large‐Scale Terrain‐Analysis‐Based Flood Mapping System to Hurricane Harvey X. Zheng et al.
64. Leveraging synthetic assimilation of remote sensing with the National Water Model (NWM) to improve above-normal flow prediction in ungauged basins S. Fang et al.
65. Continental Scale Assessment of Variation in Floodplain Roughness With Vegetation and Flow Characteristics G. Barinas et al.
66. Flood Hazard Assessment Under Subsidence-Influenced Terrain Using Deformation-Adjusted DEM in an Oil and Gas Field M. Al Sulaimani et al.
67. Impact of Elevation and Hydrography Data on Modeled Flood Map Accuracy Using ARC and Curve2Flood T. Miskin et al.
68. Rapid 2D hydrodynamic flood modeling using deep learning surrogates F. Haces-Garcia et al.
69. Gridded flood depth estimates from satellite-derived inundations S. Bryant et al.
70. Real-Time Forecasting and Mapping Flood Extent from Integrated Hydrologic Models and Satellite Remote Sensing W. Krajewski et al.
71. Extremely rapid, Lagrangian modeling of 2D flooding: A rivulet-based approach W. Brent Daniel et al.
72. Comparative analysis of hydraulic and GIS-based Height Above the Nearest Drainage model for fluvial flood hazard mapping: a case of the Gidra River, Slovakia M. Vojtek et al.
73. Enhanced flood hazard modelling using hydraulic, analytical hierarchical process and height above nearest drainage models in Ogunpa river basin, Ibadan, Southwestern Nigeria A. Komolafe et al.
74. Comparative analysis of performance and mechanisms of flood inundation map generation using Height Above Nearest Drainage Z. Li et al.
75. Flood early warning system with data assimilation enables site-level forecasting of bridge impacts J. Oh & M. Bartos
76. Development of an Agricultural Water Risk Indicator Framework Using National Water Model Streamflow Forecasts J. Quansah et al.
77. Flood monitoring: A hydrologically guided method for infilling incomplete flood inundation maps derived from satellite images X. Guo et al.
78. Unraveling the 2021 Central Tennessee flood event using a hierarchical multi-model inundation modeling framework S. Gangrade et al.
79. Neural networks for fast fluvial flood predictions: Too good to be true? A. Bomers & S. Hulscher
80. City-scale high-resolution flood models and the role of topographic data: a case study of Kathmandu, Nepal C. Watson et al.
81. Safer this way: Identifying flooded roads for facilitating mobility during floods P. Panakkal et al.
82. A framework for the evaluation of flood inundation predictions over extensive benchmark databases D. Devi et al.
83. Effects of Groundwater‐Surface Water Exchange Mechanism in the National Water Model over the Northern High Plains Aquifer, USA E. Jachens et al.
84. Assessing the Role of Hydrodynamics in Enhancing Height‐Above‐the‐Nearest‐Drainage Derived Synthetic Rating Curves: A Comparative Study in the Wu River Basin, Taiwan C. Yu et al.
85. Simulation of Flood Inundation Extent by Integration of HEC-HMS, GA-based Rating Curve and Cost Distance Analysis S. Debbarma et al.
86. Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture C. Chang et al.
87. Sensitivity Analysis of Modelled Flood Inundation Extents over Hawkesbury–Nepean Catchment S. Unnithan et al.
88. Intercomparison of flood inundation models across land use types and hydrological flood stages P. Nikrou et al.
89. The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps D. Penton et al.
90. The importance of source data in river network connectivity modeling: A review C. Brinkerhoff
91. Development of a HAND-based flood risk assessment tool in Google Earth Engine for a data-scarce region in the US J. Thomas et al.
92. Quantifying patterns of streamflow peaks over the southeastern United States using a long‐term retrospective data set K. Raczyński & J. Dyer
93. Association between flood exposure and chronic kidney disease: A nationwide cross-sectional study in China Y. Qin et al.
94. A Comprehensive Review of Machine Learning and Deep Learning Methods for Flood Inundation Mapping A. Silwal et al.
95. Utilizing waveform synthesis in harmonic oscillator seasonal trend model for short- and long-term streamflow drought modeling and forecasting K. Raczyński & J. Dyer
96. Toward Brague river flood modelling 2: efforts to optimize HPC resources for a TELEMAC-2D code based on shallow water equations E. Ah-Woane et al.
97. Suitability of the height above nearest drainage (HAND) model for flood inundation mapping in data-scarce regions: a comparative analysis with hydrodynamic models N. Thalakkottukara et al.
98. Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations J. Johnson et al.
99. AHGestimation: An R package for computing robust, mass preserving hydraulic geometries and rating curves J. Johnson et al.
100. A national topographic dataset for hydrological modeling over the contiguous United States J. Zhang et al.
101. Integration of VGGNet-Driven Precipitation Similarity Analysis and Hydrological Modeling for Enhanced Streamflow Forecasting T. Tang et al.
102. An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis H. Wan et al.
103. Inequities in the distribution of flood risk under floodplain restoration and climate change scenarios J. Gourevitch et al.
104. Deriving synthetic rating curves from a digital elevation model to delineate the inundated areas of small watersheds C. Gordon et al.
105. Improving the fidelity and performance of a conceptual flood inundation mapping approach using a machine learning-based surrogate model B. Kilicarslan et al.
106. Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed X. Li et al.
107. Integrated flood modelling and risk assessment in urban areas: A review on applications, strengths, limitations and future research directions S. Pakati et al.
108. Two-Way Coupling of the National Water Model (NWM) and Semi-Implicit Cross-Scale Hydroscience Integrated System Model (SCHISM) for Enhanced Coastal Discharge Predictions H. Zhang et al.
109. Flood risk assessment through large-scale modeling under uncertainty L. Pavesi et al.
110. Societal and environmental interconnections: future directions for flood inundation models Z. Li & S. Gorelick
111. A comparative assessment of data-driven flood susceptibility mapping in Nigeria W. Montien Tique et al.
112. Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model F. Aristizabal et al.
113. A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions J. Teng et al.