Abstract
This study explored the operational feasibility of an empirical approach to flood inundation forecasting using quantitative precipitation forecasting (QPF) from high-resolution numerical weather prediction models for the city of Houston and the Harris County Flood Control District (HCFCD). A proposed rapid-refresh technique for generating forecasted flood inundation maps was tested, wherein the processing time was limited by the time required for generating high-resolution QPF. Using the dense gauge network operated by the HCFCD, hurricane type storms were found to be generally more challenging for quantitative precipitation forecasting than the less intense and more frequent winter storm events. The investigation also indicated that forecasting inundation is possible based on rainfall forecasts using predeveloped rating curves between the observed rainfall and the expected increase in water level. The median of the relative root mean square error (RMSE) in percentage and the correlation of the forecasted water level at gauge locations are consistently below 10% and higher than 0.7, respectively, for up to a four-day lead time. In terms of spatial detection of flooded (non-flooded) areas, this technique yielded qualitative consistency during peak inundation episodes when the QPF was skillful.
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Acknowledgments
The authors are thankful to the Harris County Flood Control District (HCFCD) for making the data and information available to us through their flood warning system website. The authors are also grateful to the National Oceanic and Atmospheric Administration (NOAA) for providing a global-scale model based weather forecast data.
References
Chen, X., and F. Hossain. 2016. “Revisiting extreme storms of the past 100 years for future safety of large water management infrastructures.” Earth’s Future 4 (7): 306–322. https://doi.org/10.1002/2016EF000368.
Chen, X., F. Hossain, and L. R. Leung. 2017a. “Establishing a numerical modeling framework for hydrologic engineering analyses of extreme storm events.” J. Hydrol. Eng. 22 (8): 4017016. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001523.
Chen, X., F. Hossain, and L. R. Leung. 2017b. “Probable maximum precipitation in the US Pacific Northwest in a changing climate.” Water Resour. Res. 53 (11): 9600–9622. https://doi.org/10.1002/2017WR021094.
Dodla, V. B., S. Desamsetti, and A. Yerramilli. 2011. “A comparison of HWRF, ARW and NMM models in Hurricane Katrina (2005) Simulation.” Int. J. Environ. Res. Public Health 8 (6): 2447–2469. https://doi.org/10.3390/ijerph8062447.
Dudhia, J. 1989. “Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model.” J. Atmos. Sci. 46 (20): 3077–3107. https://doi.org/10.1175/1520-0469(1989)046%3C3077:NSOCOD%3E2.0.CO;2.
Durkee, J. D., L. Campbell, K. Berry, D. Jordan, G. Goodrich, R. Mahmood, and S. Foster. 2012. “A synoptic perspective of the record 1-2 May 2010 Mid-South heavy precipitation event.” Bull. Am. Meteorol. Soc. 93 (5): 611–620. https://doi.org/10.1175/BAMS-D-11-00076.1.
Emanuel, K. 2017. “Assessing the present and future probability of Hurricane Harvey’s rainfall.” Proc. Natl. Acad. Sci. U.S.A. 114 (48): 12681–12684. https://doi.org/10.1073/pnas.1716222114.
Haddad, K., A. Rahman, P. E. Weinmann, G. Kuczera, and J. Ball. 2010. “Streamflow data preparation for regional flood frequency analysis: Lessons from southeast Australia.” Aust. J. Water Resour. 14 (1): 17–32. https://doi.org/10.1080/13241583.2010.11465371.
Harris County FWS (Flood Warning System). 2019. “Flood warning system.” Accessed May 7, 2019. https://www.harriscountyfws.org/.
Henonin, J., B. Russo, O. Mark, and P. Gourbesville. 2013. “Real-time urban flood forecasting and modelling– a state of the art.” J. Hydroinf. 15 (3): 717–736. https://doi.org/10.2166/hydro.2013.132.
Hong, S. Y., Y. Noh, and J. Dudhia. 2006. “A new vertical diffusion package with an explicit treatment of entrainment processes.” Mon. Weather Rev. 134 (9): 2318–2341. https://doi.org/10.1175/MWR3199.1.
Jiménez, P. A., J. Dudhia, J. F. G. Rouco, J. Navarro, J. P. Montávez, and E. G. Bustamante. 2012. “A revised scheme for the WRF surface layer formulation.” Mon. Weather Rev. 140 (3): 898–918. https://doi.org/10.1175/MWR-D-11-00056.1.
Kain, J. S. 2004. “The Kain-Fritsch convective parameterization: An update.” J. Appl. Meteorol. Climatol. 43 (1): 170–181. https://doi.org/10.1175/1520-0450(2004)043%3C0170:TKCPAU%3E2.0.CO;2.
Khan, S. D. 2005. “Urban development and flooding in Houston Texas, inferences from remote sensing data using neural network technique.” Environ. Geol. 47 (8): 1120–1127. https://doi.org/10.1007/s00254-005-1246-x.
Liguori, S., M. A. Rico-Ramirez, A. N. A. Schellart, and A. J. Saul. 2012. “Using probabilistic radar rainfall nowcasts and NWP forecasts for flow prediction in urban catchments.” Atmos. Res. 103: 80–95. https://doi.org/10.1016/j.atmosres.2011.05.004.
Liu, J., J. Wang, S. Pan, K. Tang, C. Li, and D. Han. 2015. “A real-time flood forecasting system with dual updating of the NWP rainfall and the river flow.” Nat. Hazard 77 (2): 1161–1181. https://doi.org/10.1007/s11069-015-1643-8.
Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough. 1997. “Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave.” J. Geophys. Res. 102 (D14): 16663–16682. https://doi.org/10.1029/97JD00237.
Morrison, H., G. Thompson, and V. Tatarskii. 2009. “Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes.” Mon. Weather Rev. 137: 991–1007. https://doi.org/10.1175/2008MWR2556.1.
NCEI (National Center for Environmental Information). 2019. “Climate and historical weather data and information.” Accessed May 7, 2019. https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs.
Rotunno, R., Y. Chen, W. Wang, C. Davis, J. Dudhia, and G. J. Holland. 2009. “Large-eddy simulation of an idealized tropical cyclone.” Bull. Am. Meteorol. Soc. 90 (12): 1783–1788. https://doi.org/10.1175/2009BAMS2884.1.
Sikder, M. S., and F. Hossain. 2018. “Improving operational flood forecasting in monsoon climates with bias-corrected quantitative forecasting of precipitation.” Int. J. River Basin Manage. 1–11. https://doi.org/10.1080/15715124.2018.1476368.
Sikder, S., and F. Hossain. 2016. “Assessment of the weather research and forecasting model generalized parameterization schemes for advancement of precipitation forecasting in monsoon-driven river basins.” J. Adv. Model. Earth Syst. 8 (3): 1210–1228. https://doi.org/10.1002/2016MS000678.
Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X. Y. Hung, W. Wang, and J. G. Powers. 2008. A description of the advanced research WRF Version 3. Boulder, CO: NCAR.
Tewari, M., F. Chen, W. Wang, J. Dudhia, M. A. LeMone, K. Mitchell, M. Ek, G. Gayno, J. Wegiel, and R. H. Cuenca. 2004. “Implementation and verification of the unified NOAH land surface model in the WRF model.” In Proc., 20th Conf. on Weather Analysis and Forecasting/16th Conf. on Numerical Weather Prediction. Seattle: American Meteorological Society.
Zelinski, A., and M. Zaveri. 2018. “Push to solve Houston’s chronic flooding grows stronger.” Accessed October 18, 2018. https://www.houstonchronicle.com/news/houston-texas/houston/article/Nearly-six-months-after-Harvey-some-traction-for-12567647.php#photo-14028673.
Zhang, W., G. Villarini, G. A. Vecchi, and J. A. Smith. 2018. “Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston.” Nature 563 (7731): 384–388. https://doi.org/10.1038/s41586-018-0676-z.
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Journal of Hydrologic Engineering
Volume 24 • Issue 8 • August 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Oct 25, 2018
Accepted: Feb 27, 2019
Published online: May 28, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 28, 2019
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