Natural Hazards

, Volume 92, Issue 2, pp 699–726 | Cite as

Evaluation of a synthetic rainfall model, P-CLIPER, for use in coastal flood modeling

  • Kevin M. Geoghegan
  • Patrick Fitzpatrick
  • Randall L. Kolar
  • Kendra M. DresbackEmail author
Original Paper


With the projected increase in both tropical cyclone (TC) intensity and proportion of the global population living near the coast, adequate preparation to protect against TC flooding is in the economic interest of coastal cities worldwide. Numerical models that describe TC properties, e.g., storm surge and wind fields, are currently employed to simulate the component of flooding that results from seawater inundation of areas along the coast (i.e., saltwater flooding). However, without the inclusion of freshwater flooding, contributed by inland surface flow and direct precipitation, a total water level (TWL) system for TC flooding lacks a complete picture of the actual coastal flood levels. Working toward a true TWL system, this research investigates the efficacy of the simple and efficient parametric TC rainfall model P-CLIPER (PDF Precipitation-Climatology and Persistence) to provide historically representative TC rainfall to a TWL system. This research demonstrates the success of this novel use of P-CLIPER through calibration and validation to the Tar–Pamlico River and Neuse River coastal watershed in North Carolina. In particular, the comparison of hydrographs at observation stations shows that hydrologic model output forced with P-CLIPER matches that forced with radar-observed precipitation for both timing and peaks, with the proper parameter choices for P-CLIPER. Similarly with proper parameter selection, P-CLIPER captures the peak rate and spatial pattern of observed rainfall for Hurricane Isabel. Due to the model’s simplicity, this work also reveals that P-CLIPER can be used as a parametric rainfall model in ensemble simulations, which could lead toward improved floodplain mapping, emergency management decisions, and stormwater infrastructure planning.


Synthetic rainfall model Rainfall accumulation Hydrology Total water level Tropical cyclones 



Funding for the project was provided, in part, by the National Oceanic and Atmospheric Administration - Integrated Ocean Observation System program (Award No. NA07NOS4730212), the Department of Homeland Security Coastal Hazards Center of Excellence (Award No. 2008-ST-061-ND0001-02) and the U.S. Department of Education Graduate Assistantship in Areas of National Needs (GAANN), which the authors gratefully acknowledge. Additional funding for Fitzpatrick was provided by NOAA Grants NA16OAR4320199 and NA11OAR4320199. The authors affiliated with the University of Oklahoma would also acknowledge additional resources provided by the University of Oklahoma. Some of the computing resources for this project were provided at the OU Supercomputing Center for Education and Research (OSCER) at the University of Oklahoma. Any opinions, conclusions, or findings are those of the authors and are not necessarily endorsed by the funding agencies. We appreciate the comments of the reviewers to improve the manuscript.


  1. Avila LA, Congialosi J (2011) Tropical cyclone report: Hurricane Irene (AL092011) 21–28 Aug 2011. Technical report, National Hurricane Center, pp 1–45Google Scholar
  2. Beardsley RC, Chen C, Xu Q (2013) Coastal flooding in scituate (MA): a FVCOM study of the 27 December 2010 Nor’easter. J Geophys Res Oceans 188(11):6030–6045CrossRefGoogle Scholar
  3. Bender MA, Knutson TR, Tuleya RE, Sirutis JJ, Vecchi GA, Garner ST, Held IM (2010) Modeled impact of anthropogenic warming on the frequency of intense Atlantic Hurricanes. Science 327(5964):454–458CrossRefGoogle Scholar
  4. Berg R (2013) Tropical cyclone report: Hurricane Isaac (AL092012) 21 Aug–1 Sept 2012. Technical report, National Hurricane Center, pp 1–78Google Scholar
  5. Blake ES, Landsea CW, Gibney EJ (2011) The deadliest, costliest, and most intense United States Tropical Cyclones from (1851) to 2010 (and other frequently requested Hurricane Facts). Technical report, National Hurricane Service National Hurricane Center, pp 1–52Google Scholar
  6. Blake ES, Kimberlain TB, Berg RJ, Cangialosi JP, Beven JL (2013) Tropical cyclone report: Hurricane Sandy (AL182012) 22–29 Oct 2012. Technical report, National Hurricane Center, pp 1–157Google Scholar
  7. Bowler NE, Arribas A, Mylne KR, Robertson KB, Beare SE (2008) The MOGREPS Short-range Ensemble Prediction System. Q J R Meteorol Soc 134:703–722CrossRefGoogle Scholar
  8. Bunya S, Dietrich JC, Westerink JJ, Ebersole BA, Smith JM, Atkinson JH, Jensen R, Resio DT, Luettich RA, Dawson C, Cardone VJ, Cox AT, Powell MD, Westerink HJ, Roberts HJ (2010) A High-resolution coupled riverine flow, tide, wind, wind wave, and storm surge model for Southern Louisiana and Mississippi. Part I: model development and validation. Mon Weather Rev 138(2):345–377CrossRefGoogle Scholar
  9. Chu P, Blain CA, Linzell RS (2009) Development of a relocatable coastal forecast system for the U.S. Navy. In: OCEANS 2009, MTS/IEEE Biloxi—Marine technology for our future: global and local challenges, pp 1–8Google Scholar
  10. Dietrich JC, Bunya S, Westerink JJ, Ebersole BA, Smith JM, Atkinson JH, Jensen R, Resio DT, Luettich RA, Dawson C, Cardone VJ, Cox AT, Powell MD, Westerink HJ, Roberts HJ (2010) A high-resolution coupled riverine flow, tide, wind, wind wave, and storm surge model for Southern Louisiana and Mississippi. Part II: synoptic description and analysis of Hurricanes Katrina and Rita. Mon Weather Rev 138(2):378–404CrossRefGoogle Scholar
  11. Dietrich JC, Westerink JJ, Kennedy AB, Smith JM, Jensen R, Zijlema M, Holthuijsen LH, Dawson C, Luettich RA, Powell MD, Cardone VJ, Cox AT, Stone GW, Pourtaheri H, Hope ME, Tanaka S, Westerink LG, Westerink HJ, Cobell Z (2011) Hurricane Gustav (2008) waves and storm surge: hindcast, synoptic analysis, and validation in Southern Louisiana. Mon Weather Rev 139(8):2488–2522CrossRefGoogle Scholar
  12. Dresback KM, Fleming JG, Blanton BO, Kaiser C, Gourley JJ, Tromble EM, Luettich RA, Kolar RL, Hong Y, Van Cooten S, Vergara HJ, Flamig ZL, Lander HM, Kelleher KE, Nemunaitis-Monroe KL (2013) Skill assessment of a real-time forecast system utilizing a coupled hydrological and coastal hydrodynamic model during Hurricane Irene (2011). Cont Shelf Res 71:78–94CrossRefGoogle Scholar
  13. Ebersole BA, Westerink JJ, Bunya S, Dietrich JC, Cialone MA (2010) Development of storm surge which led to flooding in St. Bernard Polder during Hurricane Katrina. Ocean Eng 37(1):91–103CrossRefGoogle Scholar
  14. Fleming JG, Fulcher CW, Luettich RA, Estrade BD, Allen GD, Winer HS (2008) A real time storm surge forecasting system using ADCIRC. In: Spaulidng M (ed) 10th international conference on estuarine and coastal modeling. American Society of Civil Engineers, Reston, pp 893–912CrossRefGoogle Scholar
  15. Flowerdew J, Horsburgh K, Wilson C, Mylne K (2010) Development and evaluation of an ensemble forecasting system for coastal storm surges. Q J R Meteorol Soc 136(651):1444–1456CrossRefGoogle Scholar
  16. Fulton MA (2002) Activities to improve WSR-88D radar rainfall estimation in the National Weather Service. In Proceedings from the second federal interagency hydrologic modeling conference, Interagency Advisory Committee on Water Data, Las Vegas, NV, 2002. Accessed on 2017
  17. Funakoshi Y, Hagen SC, Bacopoulos P (2008) Coupling of hydrodynamic and wave models: case study for Hurricane Floyd (1999) hindcast. J Waterw Port Coast Ocean Eng 134(6):321–335CrossRefGoogle Scholar
  18. Habib E, Larson BF, Graschel J (2009) Validation of NEXRAD multisensor precipitation estimates using an experimental dense rain gauge network in South Louisiana. J Hydrol 373:463–478CrossRefGoogle Scholar
  19. Hope ME, Westerink JJ, Kennedy AB, Kerr PC, Dietrich JC, Dawson C, Bender CJ, Smith JM, Jensen RE, Zijlema M, Holthuijsen LH, Luettich RA, Powell MD, Cardone VJ, Cox AT, Pourtaheri H, Roberts HJ, Atkinson JH, Tanaka S, Westerink HJ, Westerink LG (2013) Hindcast and validation of Hurricane Ike (2008): waves, forerunner, and storm surge. J Geophys Res Oceans 118(9):4424–4460CrossRefGoogle Scholar
  20. Intergovernmental Panel on Climate Change (IPCC) (2013) Climate change 2013: the physical science basis. In: Stoker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  21. Kinnmark I (1986) The shallow water wave equations: formulation, analysis, and application, lecture notes in engineering, vol 15. Springer, Berlin, pp 1–187CrossRefGoogle Scholar
  22. Knapp KR, Kossin JP (2007) New global tropical cyclone data set from ISCCP B1 geostationary satellite observations. J Appl Remote Sens 1(1):013505CrossRefGoogle Scholar
  23. Knapp KR, Kruk MC, Levinson DH, Diamond HJ, Neumann CJ (2010) The international best track archive for climate stewardship (IBTrACS): unifying tropical cyclone data. Bull Am Meteorol Soc 91(6):363–376CrossRefGoogle Scholar
  24. Knutson TR, McBride JL, Chan J, Emmauel K, Holland G, Landsea C, Held I, Kossin JP, Srivastava AK, Sigi M (2010) Tropical cyclones and climate change. Nat Geosci 3(30):157–163CrossRefGoogle Scholar
  25. Knutson TR, Sirutis JJ, Vecchi GA, Garner S, Zhao M, Kim H, Bender M, Tuleya RE, Held IM, Villarini G (2013) Dynamical downscaling projections of twenty-first century Atlantic Hurricane activity: CMIP3 and CMIP5 model-based scenarios. J Clim 26(17):6591–6617CrossRefGoogle Scholar
  26. Kolar RL, Westerink JJ, Gray WG, Luettich RA (1994) Shallow water modeling in spherical coordinates: equation formulation, numerical implementation, and application. J Hydraul Res 32(1):1–24CrossRefGoogle Scholar
  27. Koren V, Reed S, Smith M, Zhang Z, Seo D (2004) Hydrology laboratory research modeling system (HL-RMS) of the US National Weather Service. J Hydrol 291:297–318CrossRefGoogle Scholar
  28. Lin Y, Mitchell KE (2005) The NCEP stage II/IV hourly precipitation analyses: development and applications. In: 19th conference on hydrology. American Meteorology Society, San Diego, CA. Accessed on 2017
  29. Lonfat M, Marks FD, Chen SYS (2004) Precipitation distribution in tropical cyclones using the tropical rainfall measuring mission (TRMM) microwave imager: a global perspective. Mon Weather Rev 132:1645–1660CrossRefGoogle Scholar
  30. Luettich RA, Westerink JJ, Scheffner NW (1992) ADCIRC: an advanced three-dimensional circulation model for shelves, coasts and estuaries, report 1: theory and methodology of ADCIRC-2DDI and ADCIRC-3DL. Technical report DRP-92-6, Department of the Army, U.S. Army Corp of Engineers, Waterways Experiment Station, Dredging Research ProgramGoogle Scholar
  31. Lynch D, Gray WG (1979) A wave equation model for finite element tidal computations. Comput Fluids 7:207–228CrossRefGoogle Scholar
  32. Marchok T, Rogers R, Tuleya R (2007) Validation schemes for tropical cyclone quantitative precipitation forecasts: evaluation of operational models for U.S. landfalling cases. Weather Forecast 22(4):726–746CrossRefGoogle Scholar
  33. Marks FD, DeMaria M (2003) Development of a tropical cyclone rainfall climatology and persistence (R-CLIPER) model. Technical report, NOAA/OAR/AOML/Hurricane Research DivisionGoogle Scholar
  34. Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models, part 1—a discussion of principles. J Hydrol 10(3):282–290CrossRefGoogle Scholar
  35. Needham HF, Kiem BD, Sathiaraj D (2015) A review of tropical cyclone-generated storm surges: global data sources, observations, and impacts—a review of tropical storm surges. Rev Geophys 53(2):545–591CrossRefGoogle Scholar
  36. Peduzzi P, Chatenoux B, Dao H, De Bono A, Herold C, Kossin J, Mouton F, Nordbeck O (2012) Global trends in tropical cyclone risk. Nat Clim Change 2(4):289–294CrossRefGoogle Scholar
  37. Rappaport EN (2000) Loss of life in the United States associated with recent atlantic tropical cyclones. Bull Am Meteorol Soc 81(9):2065–2073CrossRefGoogle Scholar
  38. Reed SM, Maidment DR (1999) Coordinate transformations for using NEXRAD data in GIS-based hydrologic modeling. J Hydrol Eng 4(2):174–182CrossRefGoogle Scholar
  39. Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 2. NCAR technical notes, Mesoscale and Microscale Meteorology Division, NCAR/TN-468+STR, pp 1–88Google Scholar
  40. Tromble EM, Kolar RL, Dresback KM, Hong Y, Vieux BE, Luettich RA, Gourley JJ, Kelleher KE, Van Cooten S (2011) Aspects of coupled hydrologic-hydrodynamic modeling for coastal flood inundation. In: Spaulding ML (ed) Proceedings of the eleventh international conference on estuarine and coastal modeling. ASCE, Reston, pp 724–743Google Scholar
  41. United States Census Bureau. International databaseGoogle Scholar
  42. Van Cooten S, Kelleher KE, Howard K, Zhang J, Gourley JJ, Kain JS, Nemunaitis-Monroe K, Flamig Z, Moser H, Arthur A, Langston C, Kolar RL, Hong Y, Dresback KM, Tromble EM, Vergara H, Luettich RA, Blanton BO, Lander H, Galluppi K, Losego JP, Blain CA, Thigpen J, Mosher K, Figurskey D, Moneypenny M, Blaes J, Orrock J, Bandy R, Goodall C, Kelley JGW, Greenlaw J, Wengren M, Eslinger D, Payne J, Olmi G, Feldt J, Schmidt J, Hamill T, Bacon R, Stickney R, Spence L (2011) The CI-FLOW project: a system for total water level prediction for the summit to the sea. Bull Am Meteorol Soc 92:1427–1442CrossRefGoogle Scholar
  43. Villarini G, Goska R, Smith JA, Vecchi GA (2014) North atlantic tropical cyclones and U.S. flooding. Bull Am Meteorol Soc 95(9):1381–1388CrossRefGoogle Scholar
  44. Warner J, Armstrong B, He R, Zambon J (2010) Development of a coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system. Ocean Model 35(3):230–244CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Kevin M. Geoghegan
    • 1
  • Patrick Fitzpatrick
    • 2
  • Randall L. Kolar
    • 3
  • Kendra M. Dresback
    • 3
    Email author
  1. 1.Northwest Hydraulic Consultants, Inc.SeattleUSA
  2. 2.Geosystems Research InstituteMississippi State UniversityStennis Space CenterUSA
  3. 3.School of Civil Engineering and Environmental ScienceUniversity of OklahomaNormanUSA

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