Hydrologic Modeling with NEXRAD Precipitation in Middle Tennessee
Publication: Journal of Hydrologic Engineering
Volume 9, Issue 5
Abstract
The use of radar-based precipitation is investigated for possible improvement of spatially lumped continuous hydrologic modeling in two subbasins of the Cumberland River basin in Middle Tennessee. Hydrologic predictions of streamflow at the outlets of the subbasins are obtained using HEC-HMS and two precipitation inputs, Stage III radar-derived and gauge-only data. Model performance with each precipitation input is assessed by comparing predicted and measured streamflow at each subbasin outlet and calculating streamflow volume bias, root mean square difference, mean normalized peak error, and mean peak timing error. The results indicate that the Stage III precipitation suffers from systematic underestimation at both the point and subbasin scales and cannot be completely offset by model recalibration. Simulations driven by both the Stage III and gauge-only data periodically failed to reproduce observed flood peaks in both subbasins. But Stage III simulations are generally less accurate in prediction of streamflow volume as compared to gauge-only simulations and, although comparable to the gauge-only simulations in predicting the magnitude and time to peak, offer no apparent improvement in predicting these quantities either.
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References
Austin, P. M.(1987). “Relation between measured radar reflectivity and surface rainfall.” Mon. Weather Rev., 115, 1053–1070.
Bedient, P. B., Hoblit, B. C., Gladwell, D. C., and Vieux, B. E.(2000). “NEXRAD radar for flood prediction in Houston.” J. Hydrologic Eng., 5(3), 269–277.
Beven, K. J., and Hornberger, G. M. (1982). “Assessing the effect of spatial pattern of precipitation in modeling stream flow hydrographs.” Water Resour. Bull., 823–829.
Bradley, A. A., and Kruger, A. (1998). “Recalibration of hydrologic models for use with WSR-88D precipitation estimates.” Preprints, Special Symposium on Hydrology; 78th Annual AMS Conf., American Meteorological Society, Boston.
Bradley, A. A., Peters-Lidard, C., Nelson, B. R., Smith, J. A., and Young, C. B.(2002). “Raingage network design using NEXRAD precipitation estimates.” J. Am. Water Resour. Assoc., 38(5), 1–15.
Brandes, E. A., Vivekanandan, J., and Wilson, J. W.(1999). “A comparison of radar reflectivity estimates of rainfall from collocated radars.” J. Atmos. Ocean. Technol., 16, 1264–1272.
Bras, R. L., and Rodriguez-Iturbe, I. (1993). Random functions and hydrology, Dover, New York.
Briedenbach, J. P., and Bradberry, J. S. (2001). “Multisensor precipitation estimates produced by National Weather Service River Forecast Centers for hydrologic applications.” Proc., 2001 Georgia Water Resources Conf., Institute of Ecology, Univ. of Georgia, Athens, Ga.
Chaubey, I., Haan, C. T., Salisbury, J. M., and Grunwald, S.(1999). “Quantifying model output uncertainty due to spatial variability of rainfall.” J. Am. Water Resour. Assoc., 38(5), 1113–1123.
Ciach, J. G., and Krajewski, W. F.(1999). “On the estimation of radar rainfall error variance.” Adv. Water Resour., 22(6), 585–595.
Fleming, M., and Neary, V. S.(2004). “Continuous hydrologic modeling study with HMS.” J. Hydrologic Eng., 9(3), 175–183.
Fulton, R. A., Breidenbach, J. P., Seo, D.-J., Miller, D. A., and O’Bannon, T.(1998). “The WSR-88D rainfall algorithm.” Weather Forecast.,13, 377–395.
Gan, T. Y., Dlamini, E. M., and Biftu, G. F.(1997). “Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling.” J. Hydrol., 192, 81–103.
Habib, E., and Krajewski, W. F.(2002). “Uncertainty analysis of the TRMM ground validation radar-rainfall products: Application to the TEFLUN-B Field Campaign.” J. Appl. Meteorol., 41(5), 558–572.
Habib, E., Krajewski, W. F., and Ciach, G. J.(2001a). “Estimation of rainfall interstation correlation.” J Hydrometeorol., 2, 621–629.
Habib, E., Krajewski, W. F., and Kruger, A.(2001b). “Sampling errors of tipping-bucket rain gauge measurements.” J. Hydrologic Eng., 6(2), 159–166.
Habib, E., Krajewski, W. F., Nespor, V., and Kruger, A.(1999). “Numerical simulation studies of rain gauge data correction due to wind effect.” J. Geophys. Res., [Atmos.], 104(16), 19723–19734.
Hitch, T. J. (1991). “Assessment of the adjustment of hourly radar rainfall fields by the use of daily rain gauge totals.” Hydrological applications of weather radar, I. D. Cluckie and C. G. Collier, eds., Ellis Horwood, New York, 49–55.
Hunter, S.(1996). “WSR-88D radar rainfall estimation: Capabilities, limitations, and potential improvements.” NWA Digest,20(4), 26–36.
Hydrologic Engineering Center (HEC). (2000). Hydrologic modeling system HEC-HMS: Technical reference manual, U.S. Army Corps of Engineers, Davis, Calif.
Johnson, D., Smith, M., Koren, V., and Finnerty, B.(1999). “Comparing mean areal precipitation estimates from NEXRAD and rain gauge networks.” J. Hydrologic Eng., 4(2), 117–124.
Krajewski, W. F., Ciach, G. J., and Habib, E.(2003). “Experimental analyses of small-scale rainfall variability in different climatologic regimes.” Hydrol. Sci. J., in press.
Krajewski, W. F., Lakshmi, V., Georgakakos, K. P., and Jain, S. C.(1991). “A Monte-Carlo study of rainfall sampling effect on a distributed catchment model.” Water Resour. Res., 27(1), 119–128.
Linsley, R. K., Franzini, J. B., Freyberg, D. L., and Tochbanoglous, G. (1992). Water resources engineering, 4th Ed., Irwin-McGraw-Hill, New York.
McNutt, J. D., and Neary, V. S. (1999). “Improvement of basin average rainfall estimates by reducing errors in rain gage and radar data.” Proc., 1999 Tennessee Water Symp., Nashville, Tenn.
Morrissey, M. L., Maliekal, J. A., Greene, J. S., and Wang, J.(1995). “The uncertainty of simple spatial averages using rain gauge networks.” Water Resour. Res., 31(8), 2011–2017.
Obled, C. H., Wendling, J., and Beven, K.(1994). “The sensitivity of hydrological models to spatial rainfall patterns: an evaluation using observed data.” J. Hydrol., 159, 305–333.
Ogden, F. L., and Julien, P. Y.(1993). “Runoff sensitivity to temporal and spatial rainfall variability at runoff plane and small basin scales.” Water Resour. Res., 29(8), 2589–2597.
Reed, S. M., and Maidment, D. R.(1999). “Coordinate transformations for using NEXRAD data in GIS-based hydrologic modeling.” J. Hydrologic Eng., 4(2), 174–182.
Rodriguez-Iturbe, I., and Mejia, J. M.(1974). “The design of rainfall networks in time and space.” Water Resour. Res., 10, 713–728.
Seo, D.-J., Breidenbach, J. P., and Johnson, E. R.(1999). “Real-time estimation of mean field bias in radar rainfall data.” J. Hydrol., 223, 131–147.
Seo, D.-J., Fulton, R. A., and Breidenbach, J. P. (1997). “Interagency memorandum of understanding among the NEXRAD Program, WSR-88D Operational Support Facility, and the NWS/OH Hydrologic Research Laboratory.” Final Rep., NWS/OH Hydrologic Research Laboratory, Silver Spring, Md.
Seo, D. J., and Johnson, E. R. (1995). “The WS-88D Precipitation Subsystem: An overview and a performance evaluation.” Proc., 3rd Int. Symp. on Hydrological Applications of Weather Radar, Sao Paolo, Brazil.
Smith, J. A., Seo, D.-J., Baeck, M. L., and Hudlow, M. D.(1996). “An intercomparison study of NEXRAD precipitation estimates.” Water Resour. Res., 32, 2035–2045.
Smith, M., Koren, V., Finnerty, B., and Johnson, D. (1999). “Distributed modeling: Phase 1 results.” NWS Technical Rep. 44, National Weather Service, Silver Spring, Md.
Stellman, K. M., Fuelberg, H. E., Garza, R., and Mullusky, M.(2001). “An examination of radar- and rain gauge-derived mean areal precipitation over Georgia watersheds.” Weather Forecast.,16(1), 133–144.
Steiner, M., Smith, J. A., Burges, S. J., Alonso, C. V., and Darden, R. W.(1999). “Effect of bias adjustment and rain gauge data quality control on radar rainfall estimation.” Water Resour. Res., 35, 2487–2503.
Sun, S., Mein, R. G., Keenan, T. D., and Elliott, J. F.(2000). “Flood estimation using radar and raingauge data.” J. Hydrol., 239, 4–18.
Super, A. B., and Holroyd, E. W. (1998). “Snow accumulation algorithm for the WSR-88D: Final report.” Rep. R-98-05, Bureau of Reclamation, Denver.
Wang, D., Smith, M. B., Zhang, Z., Reed, S., and Koren, V. I. (2000). “Statistical comparison of mean areal precipitation estimates from WSR-88D, operational and historical gage networks.” Proc., 15th Conf. on Hydrology; 80th AMS Annual Meeting, American Meteorological Society, Boston.
Winchell, M., Gupta, H. V., and Sorooshian, S.(1998). “On the simulation of infiltration- and saturation-excess runoff using radar-based rainfall estimates: Effects of algorithm uncertainty and pixel aggregation.” Water Resour. Res., 34(10), 2655–2670.
Young, C. B., Bradley, A. A., Krajewski, W. F., Kruger, A., and Morrissey, M. L.(2000). “Evaluating NEXRAD multisensor precipitation estimates for operational hydrologic forecasting.” J Hydrometeorol., 1, 241–254.
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Published In
Journal of Hydrologic Engineering
Volume 9 • Issue 5 • September 2004
Pages: 339 - 349
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: May 28, 2003
Accepted: Dec 19, 2003
Published online: Aug 16, 2004
Published in print: Sep 2004
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