Technical Papers
May 8, 2018

Results from Operational Hydrologic Forecasts Using the NOAA/NWS OHRFC Ohio River Community HEC-RAS Model

Publication: Journal of Hydrologic Engineering
Volume 23, Issue 7

Abstract

Analyses of hydrologic forecasts from the US National Oceanic and Atmospheric Administration (NOAA), National Weather Service (NWS) (NOAA/NWS) Ohio River Community Hydrologic Engineering Center River Analysis System (HEC-RAS) Model for an approximate 12-month hindcast model validation period using observed precipitation and an independent five-month operational, real-time forecast period using quantitative precipitation forecast (QPF) are presented. The significant role the model played during forecast operations over the major April–May 2011 flooding period along the lower Ohio River and Mississippi River is also discussed. The model is one of many models used within the flood early warning system (FEWS)-based NWS community hydrologic prediction system (CHPS) at the NWS Ohio River Forecast Center (OHRFC). The model was developed as a cooperative effort involving the OHRFC, USGS, and USACE. The physical scope of the model, which is unique in real-time hydrologic forecasting, includes 23 locks and dams on the Ohio River and tributaries, with numerous bridges, off-channel storage areas, and lateral structures, such as levees. The model comprises over 3,100 cross sections, spanning approximately 3,200 km of continuous modeled reach. HEC-RAS model–based hydrologic forecasts show improvement in terms of reduced peak stage bias, mean absolute error, and root mean square error when compared to observed USGS river stages over lumped-parameter hydrologic routing methods that are currently used operationally. Overall, verification of forecast river stages, spanning a broad range of river levels, including the timing of hydrograph peaks, is comparable between the HEC-RAS and legacy model–based routings. Validation analyses indicate improvement over a previous model implementation following the inclusion of several additional tributary inflows within the 1D hydrodynamic model framework and recalibration. Operational complications are also discussed, such as problems related to handling real-time gate operations on the Ohio River mainstem, major tributary inflows that are insufficiently modeled, and use of lateral inflows from uncalibrated Sacramento Soil Moisture Accounting (SAC-SMA) hydrologic model subbasins that flow directly into the Ohio River mainstem.

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Acknowledgments

The contributions of Scott Young (model implementation in CHPS-FEWS), Joseph Heim (model calibration data preparation), and Ray Davis (GIS work) from the NOAA and NWS OHRFC are recognized. We are also grateful to Gary Brunner, USACE, Hydrologic Engineering Center, for his numerous reviews of the Model and thoughtful suggestions directed at model improvement, including coding changes to improve HEC-RAS simulation of lock and dam gate operations. The willingness of USACE district offices and others to share HEC-RAS channel cross-section and bathymetric data is greatly appreciated, and to those we are indebted.

References

Adams, T. E. 2015. “Verification of the NOAA/NWS MMEFS operational hydrologic ensemble forecasting system in the Ohio river valley.” In ASCE 2015 EWRI World Congress. Reston, VA: ASCE.
Adams, T. E. 2016. “Flood forecasting in the United States NOAA/National Weather Service.” Chap. 12 in Flood forecasting: A global perspective. 1st ed., edited by T. E. Adams and T. C. Pagano, 275–325. New York: Elsevier.
Adams, T. E., X. Chen, R. Davis, J. Heim, and S. Young. 2010. “The Ohio river community HEC-RAS model.” In ASCE 2010 EWRI World Congress. Reston, VA: ASCE.
Adams, T. E., X. Chen, R. Davis, J. Heim, and S. Young. 2012. “NWS/OHRFC operational experience with the Ohio river community HEC-RAS model.” In Proc., AMS 2012 Annual Meeting. Boston: American Meteorological Society.
Adams, T. E., and J. Ostrowski. 2010. “Short lead-time hydrologic ensemble forecasts from numerical weather prediction model ensembles.” In Proc., World Environmental and Water Resources Congress 2010. Boston: American Meteorological Society.
Anderson, E. A. 1973. National weather service river forecast system-snow accumulation and ablation model. Silver Spring, MD: US National Weather Service.
Anderson, E. A. 2002. Calibration of conceptual hydrologic models for use in river forecasting. Silver Spring, MD: US National Weather Service.
Asadi, P., A. C. Davison, and S. Engelke. 2015. “Extremes on river networks.” Ann. Appl. Stat. 9 (4): 2023–2050. https://doi.org/10.1214/15-AOAS863.
Beguería, S., and S. M. Vicente-Serrano. 2006. “Mapping the hazard of extreme rainfall by peaks over threshold extreme value analysis and spatial regression techniques.” J. Appl. Meteorol. Climatol. 45 (1): 108–124. https://doi.org/10.1175/JAM2324.1.
Briedenbach, J., D. Seo, and R. Fulton. 1998. “Stage II and III post processing of NEXRAD precipitation estimates in the modernized Weather Service.” In Proc., AMS 78th Annual Meeting. Boston: American Meteorological Society.
Burnash, R. 1995. The NWS river forecast system: Catchment model. 1st ed. Highlands Ranch, CO: Water Resources Publications.
Burnash, R., R. Ferral, and R. McGuire. 1973. A generalized streamflow simulation system: Conceptual modeling for digital computers. Silver Spring, MD: National Weather Service.
Daly, C., R. Neilson, and D. Phillips. 1994. “A statistical-topographic model for mapping climatological precipitation over mountainous terrain.” J. Appl. Meteor. 33 (2): 140–158. https://doi.org/10.1175/1520-0450(1994)033%3C0140:ASTMFM%3E2.0.CO;2.
Deltares. 2017. “Flood early warning system (FEWS).” Accessed August 1, 2017. http://oss.deltares.nl/web/delft-fews/.
Demargne, J., M. Mulluski, K. Werner, T. Adams, S. Lindsey, N. Schwein, W. Marosi, and E. Welles. 2009. “Application of forecast verification science to operational river forecasting in the U.S. National Weather Service.” Bull. Am. Meteorol. Soc. 90 (6): 779–784. https://doi.org/10.1175/2008BAMS2619.1.
Duan, Q., S. Sorooshian, and V. Gupta. 1992. “Effective and efficient global optimization for conceptual rainfall-runoff models.” Water Resour. Res. 28 (4): 1015–1031. https://doi.org/10.1029/91WR02985.
HEC (Hydrologic Engineering Center). 2010. River analysis system, hydraulics reference manual. Davis, CA: US Army Corps of Engineers.
Hicks, F. E., and T. Peacock. 2005. “Suitability of HEC-RAS for flood forecasting.” Can. Water Resour. J./Revue canadienne des ressources hydriques 30 (2): 159–174. https://doi.org/10.4296/cwrj3002159.
Hsu, M.-H., J.-C. Fu, and W.-C. Liu. 2003. “Flood routing with real-time stage correction method for flash flood forecasting in the Tanshui river, Taiwan.” J. Hydrol. 283 (1): 267–280. https://doi.org/10.1016/S0022-1694(03)00274-9.
Jin, M., and D. L. Fread. 1997. “Dynamic flood routing with explicit and implicit numerical solution schemes.” J. Hydraul. Eng. 123 (3): 166–173. https://doi.org/10.1061/(ASCE)0733-9429(1997)123:3(166).
Kitzmiller, D., et al. 2011. “Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model.” J. Hydrometeorol. 12 (6): 1414–1431. https://doi.org/10.1175/JHM-D-10-05038.1.
Mashriqui, H. S., J. S. Halgren, and S. M. Reed. 2014. “1D river hydraulic model for operational flood forecasting in the tidal Potomac: Evaluation for freshwater, tidal, and wind-driven events.” J. Hydraul. Eng. 140 (5): 04014005. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000862.
McEnery, J., J. Ingram, Q. Duan, T. Adams, and L. Anderson. 2005. “NOAA’s advanced hydrologic prediction service: Building pathways for better science in water forecasting.” Bull. Am. Meteorol. Soc. 24 (3): 375–385. https://doi.org/10.1175/BAMS-86-3-375.
Mu, J., and X. Zhang. 2007. “Real-time flood forecasting method with 1-D unsteady flow model.” J. Hydrodyn. Ser. B 19 (2): 150–154. https://doi.org/10.1016/S1001-6058(07)60041-9.
NCAR (National Center for Atmospheric Research). 2015. “Verification: Weather forecast verification utilities.” Accessed August 1, 2017. https://CRAN.R-project.org/package=verification.
NOAA and NWS (National Oceanic and Atmospheric Administration and National Weather Service). 2017. “NOAA/NWS national digital forecast database (NDFD).” Accessed August 1, 2017. http://www.weather.gov/ndfd/.
NOAA and NWS (National Oceanic and Atmospheric Administration and National Weather Service) Office of Hydrology. 2017. “NWS river forecast system (NWSRFS) users manual.” Accessed August 1, 2017. http://www.nws.noaa.gov/oh/hrl/general/indexdoc.htm.
NRC (National Research Council). 1997. An assessment of the advanced weather interactive processing system: Operational test and evaluation of the first system build. Washington, DC: NRC.
NRC (National Research Council). 2006. Toward a new advanced hydrologic prediction service (AHPS). Washington, DC: NRC.
NWS (National Weather Service). 2012. Service assessment, spring 2011 middle & lower Mississippi river valley floods, March 2012. Silver Spring, MD: National Oceanic and Atmospheric Administration.
R Core Team. 2017. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
Schumann, G. J.-P., J. C. Neal, N. Voisin, K. M. Andreadis, F. Pappenberger, N. Phanthuwongpakdee, A. C. Hall, and P. D. Bates. 2013. “A first large-scale flood inundation forecasting model.” Water Resour. Res. 49 (10): 6248–6257. https://doi.org/10.1002/wrcr.20521.
Siqueira, V. A., M. V. Sorribas, J. M. Bravo, W. Collischonn, A. M. V. Lisboa, and G. G. V. Trinidad. 2016. “Real-time updating of HEC-RAS model for streamflow forecasting using an optimization algorithm.” RBRH 21 (4): 855–870. https://doi.org/10.1590/2318-0331.011616086.
Taylor, G., C. Daly, and W. Gibson. 1993. “Development of an isohyetal analysis for Oregon using the PRISM model.” In Proc., 8th Conf. on Applied Climatology, 126–127. Boston: American Meteorological Society.
Taylor, G., C. Daly, and W. Gibson. 1995. “Development of a model for use in estimating the spatial distribution of precipitation.” In Proc., 9th Conf. on Applied Climatology, 92–93. Boston: American Meteorological Society.
USACE. 2012a. 2012 flood season preparedness and emergency response summary, Mississippi valley division (MVD). Vicksburg, MS: Mississippi Valley Division.
USACE. 2012b. Mississippi river and tributaries system 2011 post-flood report. Vicksburg, MS: Mississippi Valley Division.
USACE. 2016. Engineering and design, water control management. Washington, DC: Dept. of the Army.
US Department of Commerce. 1972. National weather service river forecast system, Forecast procedures. Silver Spring, MD: NOAA.
USGS. 2017. “U.S. national map: Elevation.” Accessed August 1, 2017. https://nationalmap.gov/elevation.html.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 23Issue 7July 2018

History

Received: Aug 8, 2017
Accepted: Dec 6, 2017
Published online: May 8, 2018
Published in print: Jul 1, 2018
Discussion open until: Oct 8, 2018

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Authors

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Thomas E. Adams III, M.ASCE [email protected]
Ph.D. Candidate, Via Dept. of Civil and Environmental Engineering, Virginia Tech, 200 Patton Hall, Blacksburg, VA 24061; formerly, National Oceanic and Atmospheric Administration, National Weather Service, Ohio River Forecast Center, 1901 South State Route 134, Wilmington, OH 45177 (corresponding author). Email: [email protected]
Sherry Chen
Private Consultant, 1438 Meadow Ridge Cir, Wilmington, OH 45177; formerly, National Oceanic and Atmospheric Administration, National Weather Service, Ohio River Forecast Center, 1901 South State Route 134, Wilmington, OH 45177.
Randel Dymond, F.ASCE
Professor, Via Dept. of Civil and Environmental Engineering, Virginia Tech, 200 Patton Hall, Blacksburg, VA 24061.

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