Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-2649-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-2649-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Jul 2016
Research article |
| 08 Jul 2016
A retrospective streamflow ensemble forecast for an extreme hydrologic event: a case study of Hurricane Irene and on the Hudson River basin
Firas Saleh
CORRESPONDING AUTHOR
Stevens Institute of Technology, Davidson Laboratory, Department of Civil,
Environmental and Ocean Engineering, Hoboken NJ, 07030, USA
Venkatsundar Ramaswamy
Stevens Institute of Technology, Davidson Laboratory, Department of Civil,
Environmental and Ocean Engineering, Hoboken NJ, 07030, USA
Nickitas Georgas
Stevens Institute of Technology, Davidson Laboratory, Department of Civil,
Environmental and Ocean Engineering, Hoboken NJ, 07030, USA
Alan F. Blumberg
Stevens Institute of Technology, Davidson Laboratory, Department of Civil,
Environmental and Ocean Engineering, Hoboken NJ, 07030, USA
Julie Pullen
Stevens Institute of Technology, Davidson Laboratory, Department of Civil,
Environmental and Ocean Engineering, Hoboken NJ, 07030, USA
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Cited
26 citations as recorded by crossref.
- Two decades of numerical modelling to understand long term fluvial archives: Advances and future perspectives A. Veldkamp et al. 10.1016/j.quascirev.2016.10.002
- Simulation and statistical modelling approaches to investigate hydrologic regime transformations following Eastern hemlock decline K. Singh et al. 10.1002/hyp.13666
- A multi-scale ensemble-based framework for forecasting compound coastal-riverine flooding: The Hackensack-Passaic watershed and Newark Bay F. Saleh et al. 10.1016/j.advwatres.2017.10.026
- Ensemble forecast for storm tide and resurgence from Tropical Cyclone Isaias M. Ayyad et al. 10.1016/j.wace.2022.100504
- 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
- Modeling pathogens for oceanic contact recreation advisories in the New York City area using total event simulations B. Wen et al. 10.1016/j.ecolmodel.2017.09.021
- Theory and practice of phase‐aware ensemble forecasting J. Schulte & N. Georgas 10.1002/qj.3285
- Study of early flood warning based on postprocessed predicted precipitation and Xinanjiang model X. Jiang et al. 10.1016/j.wace.2023.100611
- Combining radar quantitative precipitation estimates (QPEs) with distributed hydrological model for controlling transit of flash-flood upstream of crowded human habitats in Romania D. Sabӑu et al. 10.1007/s11069-022-05718-9
- Hydrometeorological Ensemble Forecast of a Highly Localized Convective Event in the Mediterranean L. Furnari et al. 10.3390/w12061545
- Evaluation of Paired Watershed Runoff Relationships since Recovery from a Major Hurricane on a Coastal Forest—A Basis for Examining Effects of Pinus palustris Restoration on Water Yield D. Amatya et al. 10.3390/w13213121
- Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting M. Asif et al. 10.1007/s11269-025-04093-x
- Development and accuracy assessment of a 12-digit hydrologic unit code based real-time climate database for hydrologic models in the US J. Gao et al. 10.1016/j.jhydrol.2020.124817
- Skill of ensemble flood inundation forecasts at short- to medium-range timescales M. Gomez et al. 10.1016/j.jhydrol.2018.10.063
- Regional Adaptability of Global and Regional Hydrological Forecast System H. Wang et al. 10.3390/w15020347
- Application of NEXRAD Radar-Based Quantitative Precipitation Estimations for Hydrologic Simulation Using ArcPy and HEC Software Y. Cho 10.3390/w12010273
- A comparison of SAC‐SMA and Adaptive Neuro‐fuzzy Inference System for real‐time flood forecasting in small urban catchments B. Roodsari et al. 10.1111/jfr3.12492
- Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method Z. Cui et al. 10.5194/hess-28-2809-2024
- A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy R. Ferretti et al. 10.5194/hess-24-3135-2020
- Flood hazard assessment from storm tides, rain and sea level rise for a tidal river estuary P. Orton et al. 10.1007/s11069-018-3251-x
- Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control V. Ramaswamy & F. Saleh 10.1007/s11269-019-02481-8
- Inter-comparison between retrospective ensemble streamflow forecasts using meteorological inputs from ECMWF and NOAA/ESRL in the Hudson River sub-basins during Hurricane Irene (2011) F. Saleh et al. 10.2166/nh.2018.182
- A Next-Generation Coastal Ocean Operational System: Probabilistic Flood Forecasting at Street Scale A. Jordi et al. 10.1175/BAMS-D-17-0309.1
- Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al. 10.5194/hess-22-1831-2018
- An integrated weather–hydrologic–coastal–stormwater framework to model urban‐coastal interactions: City of Hoboken application F. Saleh et al. 10.1111/jfr3.12477
- An Assessment of the Influence of Uncertainty in Temporally Evolving Streamflow Forecasts on Riverine Inundation Modeling Y. Feng et al. 10.3390/w12030911
26 citations as recorded by crossref.
- Two decades of numerical modelling to understand long term fluvial archives: Advances and future perspectives A. Veldkamp et al. 10.1016/j.quascirev.2016.10.002
- Simulation and statistical modelling approaches to investigate hydrologic regime transformations following Eastern hemlock decline K. Singh et al. 10.1002/hyp.13666
- A multi-scale ensemble-based framework for forecasting compound coastal-riverine flooding: The Hackensack-Passaic watershed and Newark Bay F. Saleh et al. 10.1016/j.advwatres.2017.10.026
- Ensemble forecast for storm tide and resurgence from Tropical Cyclone Isaias M. Ayyad et al. 10.1016/j.wace.2022.100504
- 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
- Modeling pathogens for oceanic contact recreation advisories in the New York City area using total event simulations B. Wen et al. 10.1016/j.ecolmodel.2017.09.021
- Theory and practice of phase‐aware ensemble forecasting J. Schulte & N. Georgas 10.1002/qj.3285
- Study of early flood warning based on postprocessed predicted precipitation and Xinanjiang model X. Jiang et al. 10.1016/j.wace.2023.100611
- Combining radar quantitative precipitation estimates (QPEs) with distributed hydrological model for controlling transit of flash-flood upstream of crowded human habitats in Romania D. Sabӑu et al. 10.1007/s11069-022-05718-9
- Hydrometeorological Ensemble Forecast of a Highly Localized Convective Event in the Mediterranean L. Furnari et al. 10.3390/w12061545
- Evaluation of Paired Watershed Runoff Relationships since Recovery from a Major Hurricane on a Coastal Forest—A Basis for Examining Effects of Pinus palustris Restoration on Water Yield D. Amatya et al. 10.3390/w13213121
- Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting M. Asif et al. 10.1007/s11269-025-04093-x
- Development and accuracy assessment of a 12-digit hydrologic unit code based real-time climate database for hydrologic models in the US J. Gao et al. 10.1016/j.jhydrol.2020.124817
- Skill of ensemble flood inundation forecasts at short- to medium-range timescales M. Gomez et al. 10.1016/j.jhydrol.2018.10.063
- Regional Adaptability of Global and Regional Hydrological Forecast System H. Wang et al. 10.3390/w15020347
- Application of NEXRAD Radar-Based Quantitative Precipitation Estimations for Hydrologic Simulation Using ArcPy and HEC Software Y. Cho 10.3390/w12010273
- A comparison of SAC‐SMA and Adaptive Neuro‐fuzzy Inference System for real‐time flood forecasting in small urban catchments B. Roodsari et al. 10.1111/jfr3.12492
- Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method Z. Cui et al. 10.5194/hess-28-2809-2024
- A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy R. Ferretti et al. 10.5194/hess-24-3135-2020
- Flood hazard assessment from storm tides, rain and sea level rise for a tidal river estuary P. Orton et al. 10.1007/s11069-018-3251-x
- Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control V. Ramaswamy & F. Saleh 10.1007/s11269-019-02481-8
- Inter-comparison between retrospective ensemble streamflow forecasts using meteorological inputs from ECMWF and NOAA/ESRL in the Hudson River sub-basins during Hurricane Irene (2011) F. Saleh et al. 10.2166/nh.2018.182
- A Next-Generation Coastal Ocean Operational System: Probabilistic Flood Forecasting at Street Scale A. Jordi et al. 10.1175/BAMS-D-17-0309.1
- Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al. 10.5194/hess-22-1831-2018
- An integrated weather–hydrologic–coastal–stormwater framework to model urban‐coastal interactions: City of Hoboken application F. Saleh et al. 10.1111/jfr3.12477
- An Assessment of the Influence of Uncertainty in Temporally Evolving Streamflow Forecasts on Riverine Inundation Modeling Y. Feng et al. 10.3390/w12030911
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Latest update: 06 Apr 2025
Short summary
An operational framework was implemented to generate retrospective ensemble streamflow forecasts for an extreme hydrological event, Hurricane Irene. The implications of this work benefit streamflow forecast efforts and can be used for numerous applications, such as forecasting the water resources variability, predicting fate of water quality and climate change scenarios. Socio-economic analysis may be used to weigh on how improved forecasts prevent life loss and minimize property damage.
An operational framework was implemented to generate retrospective ensemble streamflow forecasts...
