Articles | Volume 19, issue 11
https://doi.org/10.5194/nhess-19-2405-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-2405-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An integrated evaluation of the National Water Model (NWM)–Height Above Nearest Drainage (HAND) flood mapping methodology
University of California, Santa Barbara, Santa Barbara, CA 93106,
USA
Dinuke Munasinghe
University of Alabama, Tuscaloosa, AL 35487, USA
Damilola Eyelade
University of California, Santa Barbara, Santa Barbara, CA 93106,
USA
Sagy Cohen
University of Alabama, Tuscaloosa, AL 35487, USA
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Cited
66 citations as recorded by crossref.
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- Inequities in the distribution of flood risk under floodplain restoration and climate change scenarios J. Gourevitch et al. 10.1002/pan3.10290
- Deriving synthetic rating curves from a digital elevation model to delineate the inundated areas of small watersheds C. Gordon et al. 10.1016/j.ejrh.2023.101580
- Advancing regional flood mapping in a changing climate: A HAND‐based approach for New Jersey with innovations in catchment analysis D. Bazzett et al. 10.1111/jfr3.13033
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- Evaluating the reliability of synthetic rating curves for continental scale flood mapping A. Ghanghas et al. 10.1016/j.jhydrol.2022.127470
- 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. 10.3390/hydrology11090145
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- [Retracted] Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model Q. Liu et al. 10.1155/2021/8827046
- 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. 10.1029/2022WR032039
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- An Open‐Source Python Library for Varying Model Parameters and Automating Concurrent Simulations of the National Water Model A. Raney et al. 10.1111/1752-1688.12973
- Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study Z. Li et al. 10.1007/s11069-022-05215-z
- A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions J. Teng et al. 10.1029/2022WR032031
66 citations as recorded by crossref.
- Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al. 10.1029/2023JD038534
- Improving flood hazard datasets using a low-complexity, probabilistic floodplain mapping approach R. Diehl et al. 10.1371/journal.pone.0248683
- Gradual cooperative coverage models for optimally locating rain gauges on an urban transportation network F. Simoyama et al. 10.1016/j.eswa.2023.119978
- Python program for spatial reduction and reconstruction method in flood inundation modelling Y. Zhou et al. 10.1016/j.mex.2021.101527
- Assessing the simulation of streamflow with the LSTM model across the continental United States using the MOPEX dataset A. Tounsi et al. 10.1007/s00521-023-08922-1
- 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. 10.3389/feart.2022.840250
- Riverine flood risk assessment with a combined model chain in southeastern China L. Wang et al. 10.1016/j.ecolind.2023.110686
- Application of a Large‐Scale Terrain‐Analysis‐Based Flood Mapping System to Hurricane Harvey X. Zheng et al. 10.1111/1752-1688.12987
- Leveraging synthetic aperture radar (SAR) with the National Water Model (NWM) to improve above-normal flow prediction in ungauged basins S. Fang et al. 10.1088/1748-9326/ad8808
- 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. 10.5194/hess-25-2979-2021
- Continental Scale Assessment of Variation in Floodplain Roughness With Vegetation and Flow Characteristics G. Barinas et al. 10.1029/2023GL105588
- DEM-based pluvial flood inundation modeling at a metropolitan scale A. Samadi et al. 10.1016/j.envsoft.2024.106226
- Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index M. Preisser et al. 10.5194/hess-26-3941-2022
- Gridded flood depth estimates from satellite-derived inundations S. Bryant et al. 10.5194/nhess-22-1437-2022
- Extremely rapid, Lagrangian modeling of 2D flooding: A rivulet-based approach W. Brent Daniel et al. 10.1016/j.envsoft.2023.105630
- 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. 10.1007/s40808-020-01037-9
- Comparative analysis of performance and mechanisms of flood inundation map generation using Height Above Nearest Drainage Z. Li et al. 10.1016/j.envsoft.2022.105565
- Knowledge graphs to support real‐time flood impact evaluation J. Johnson et al. 10.1002/aaai.12035
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- Estimating floodwater depth using SAR-derived flood inundation maps and geomorphic model in kosi river basin (India) B. Parida et al. 10.1080/10106049.2021.1899298
- Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events K. Drewry et al. 10.1021/acs.est.3c09375
- Safer this way: Identifying flooded roads for facilitating mobility during floods P. Panakkal et al. 10.1016/j.jhydrol.2023.130100
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- Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture C. Chang et al. 10.1016/j.envsoft.2023.105643
- 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. 10.1016/j.catena.2023.107706
- Sensitivity Analysis of Modelled Flood Inundation Extents over Hawkesbury–Nepean Catchment S. Unnithan et al. 10.3390/geosciences13030067
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- Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections S. Cohen et al. 10.3390/rs14215313
- The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps D. Penton et al. 10.1038/s41597-023-02559-4
- The importance of source data in river network connectivity modeling: A review C. Brinkerhoff 10.1002/lno.12706
- 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. 10.5194/hess-28-1287-2024
- Copernicus User Uptake: From Data to Applications L. Apicella et al. 10.3390/ijgi11020121
- Quantifying patterns of streamflow peaks over the southeastern United States using a long‐term retrospective data set K. Raczyński & J. Dyer 10.1002/hyp.14960
- Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina C. Richardson & R. Beighley 10.3389/frwa.2023.1296434
- Utilizing waveform synthesis in harmonic oscillator seasonal trend model for short- and long-term streamflow drought modeling and forecasting K. Raczyński & J. Dyer 10.2166/hydro.2024.229
- Differentiable, Learnable, Regionalized Process‐Based Models With Multiphysical Outputs can Approach State‐Of‐The‐Art Hydrologic Prediction Accuracy D. Feng et al. 10.1029/2022WR032404
- Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps J. Gutenson et al. 10.5194/nhess-23-261-2023
- 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. 10.1007/s12145-023-01218-x
- Using LiDAR-DEM based rapid flood inundation modelling framework to map floodplain inundation extent and depth Y. Zhang 10.1007/s11442-020-1805-9
- Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations J. Johnson et al. 10.1038/s41597-023-02316-7
- Enhanced prediction of highway flood inundation through Bayesian generalized linear geostatistical models Y. Li et al. 10.1016/j.aei.2024.102451
- AHGestimation: An R package for computing robust, mass preserving hydraulic geometries and rating curves J. Johnson et al. 10.21105/joss.06145
- A national topographic dataset for hydrological modeling over the contiguous United States J. Zhang et al. 10.5194/essd-13-3263-2021
- Integration of VGGNet-Driven Precipitation Similarity Analysis and Hydrological Modeling for Enhanced Streamflow Forecasting T. Tang et al. 10.1109/JSTARS.2024.3441550
- Inequities in the distribution of flood risk under floodplain restoration and climate change scenarios J. Gourevitch et al. 10.1002/pan3.10290
- Deriving synthetic rating curves from a digital elevation model to delineate the inundated areas of small watersheds C. Gordon et al. 10.1016/j.ejrh.2023.101580
- Advancing regional flood mapping in a changing climate: A HAND‐based approach for New Jersey with innovations in catchment analysis D. Bazzett et al. 10.1111/jfr3.13033
- REFLEX—A novel method for the rapid estimation of flood extent M. Arcorace et al. 10.1111/jfr3.13034
- Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed X. Li et al. 10.1016/j.jhydrol.2021.127126
- Evaluating the reliability of synthetic rating curves for continental scale flood mapping A. Ghanghas et al. 10.1016/j.jhydrol.2022.127470
- 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. 10.3390/hydrology11090145
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- [Retracted] Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model Q. Liu et al. 10.1155/2021/8827046
- 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. 10.1029/2022WR032039
- Assessing streamflow forecast accuracy for flash flood events in Puerto Rico G. Trossi-Torres et al. 10.1016/j.ejrh.2024.101697
- Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions D. Kim et al. 10.1016/j.envsoft.2023.105893
- Simulating block-scale flood inundation and streamflow using the WRF-Hydro model in the New York City metropolitan area B. Kilicarslan & M. Temimi 10.1007/s11069-024-06597-y
- An Open‐Source Python Library for Varying Model Parameters and Automating Concurrent Simulations of the National Water Model A. Raney et al. 10.1111/1752-1688.12973
- Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study Z. Li et al. 10.1007/s11069-022-05215-z
- A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions J. Teng et al. 10.1029/2022WR032031
Latest update: 04 Nov 2024
Short summary
The coupled National Water Model (NWM)–Height Above Nearest Drainage flood mapping methodology provides the basis for operational flood forecasting across the continental United States. This paper evaluates how the method performs for 28 case studies using a historic archive of flood extents and a retrospective run of the NWM. We provide a summary of the results and discuss where the method is performing reliably, the general reasons for poor forecasts, and how the method might be improved.
The coupled National Water Model (NWM)–Height Above Nearest Drainage flood mapping methodology...
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