Summary
Radar provides high-resolution input of spatially and temporally variable inputs. Rain gauge networks are used alone or together with radar to provide representative rainfall over a watershed. Understanding how radar measures rainfall requires a probabilistic view of rainfall that describes the distribution of drop sizes per unit volume of the atmosphere. Both radar reflectivity and rainfall rate are sensitive to drop size distributions. The relationship between reflectivity and rainfall is expressed by the Z-R relationship. Once an appropriate Z-R relationship is applied, systematic error known as bias is removed by comparison with rain gauges. Rain gauge adjustment of radar removes the bias while random errors remain. The advantage of radar over rain gauge networks is the density of measurement. Combined use of radar and gauge networks produces more accurate precipitation measurements. Considering the importance of rainfall input to both distributed and lumped models, radar rainfall is proving to be a significant advance in hydrologic modeling.
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References
Ambroise, B. and J. Aduizian-Gerard, 1989, “Test of a trigonometrical model of a slope rainfall in a small rengelbach catchment” (High Vosges, France, In: ProcWMO/IAHS/ETH Workshop, St. Moritz. Switzerland, 4–7 December 1989. Edited by. Sevruk, B. Swiss Federal Institute of Technology, Zurich pp.81–85.
Chrisman, J., and C. Chrisman, 1999, An operational guide to WSR-88D reflectivity data quality assurance. WSR-88D Radar Operations Center paper, 15pp. [Available from WSR-88D Radar Operations Center, 3200 Marshall Ave., Norman, OK 73072.]
Crum, T. D. and Alberty, R. L., 1993, “The WSR-88D and the WSR-88D Operational Support Facility.” Bull. Amer. Meteor. Soc., 27(9):1669–1687.
Doviak, R. J. and Zrnic, D. S., 1992, Doppler Radar and Weather Observations. Second edition, Academic Press, Orlando, Florida.
Dreaver, K. R. and Hutchinson, P., 1974, “Random and systematic errors in precipitation at an exposed site.” J. of Hydrol., 13:54–63.
Faures, J. M., Goodrich, D. C., Woolhiser, D. A., and Sorooshian, S., 1995, “Impact of smallscale rainfall variability on runoff Modeling.” J. of Hydrol., 173: 309–326.
Freimund, J. R., 1992, Potential error in hydrologic field data collected from small semi-arid watersheds. M.S. Thesis. University of Arizona, Tucson, Arizona.
Fulton, Richard A., Breidenbach, Jay P., Seo, Dong-Jun, Miller, Dennis A., and O’Bannon, Timothy., 1998, “The WSR-88D Rainfall Algorithm.” J. Weather and Forecast., 13(2): 377–395.
Georgakakos, K.P. and Krajewski, W.F., 1991, “Worth of Radar Data in the Real-Time Prediction of Mean Areal Rainfall by Nonadvective Physically Based Models.” Water Resour. Res., 27(2):185–197.
Goutorbe J-P., T. Lebel, A. Tinga, P. Bessemoulin, J. Bouwer, A.J. Dolman, E.T. Wngman, J.H.C. Gash, M. Hoepffner, P. Kabat, Y.H. Kerr, B. Monteny, S.D. Prince, F. Saïd, P. Sellers and J.S. Wallace., 1994, “Hapex-Sahel: a large scale study of land-surface interactions in the semi-arid tropics.” Ann. Geophysicae, 12(1): 53–64.
Goodrich, D. C., 1990, Geometric simplification of a distributed rainfall-runoff model over a range of basin scales. Ph.D. Thesis. University of Arizona, Tucson, Arizona.
Klazura, G. E. and Imy, D. A., 1993, “A description of the initial set of analysis products available from the WSR-88D System.” Bull. Amer. Meteor. Soc., 74(7):1293–1311.
Lebel, T. and Le Barbé, L., 1997, “Rainfall monitoring during HAPEX-Sahel. 2. Point and areal estimation at the event and seasonal scales.” J. of Hydrol., 188–189:97–122.
Mimikou, M.A., Baltas, E.A., 1996, “Flood forecasting based on radar rainfall measurements.” J. of Water Resources Planning and Management, 122(3), 151p.
Morin, J., Rosenfield, D., and Amitai, E., 1995, “Radar Rain field evaluation and possible use of its high temporal and spatial resolution for hydrological purposes.” J. of Hydrol., 172:275–292.
NOAA-NWS., 1995, Southeast Texas tropical mid-latitude rainfall and flood event. Natural Disaster Survey Report.
Peck, E. L., 1973, “Discussion of problems in measuring precipitation in mountainous areas.” World Meteorological Publication, 1(326), WMO, Geneva. pp. 5–16.
Pereira, A.J., K.C. Crawford, C.L. Hartzell., 1998, “Improving WSR-88D Hourly Rainfall Estimates.” J. of Weather and Forecasting, Amer. Meteo. Soc., 13: 1016–1028.
Rosenfeld, D., D.B. Wolff, and D. Atlas, 1993: General probability-matched relations between radar reflectivity and rain rate, J. Appl. Meteor., 32: 50–72.
Rosenfeld, D., Wolff, D.B., and Amitai, E., 1994, “The window probability method for rainfall measurements with radar.” J. Appl. Meteorol., 33: 682–693.
Rosenfeld, D., Amitai, E., and Wolff, D.B., 1995a, “Classification of rain regimes by the 3-dimensional properties of reflectivity fields”. J. Appl. Meteorol., 34: 198–211.
Rosenfeld, D., Amitai, E., and Wolff, D.B., 1995a, “Improved accuracy of radar WPMM estimated rainfall upon application of objective classification criteria.” J. Appl. Meteorol., 34: 212–223.
Seo, D.-J., J.P. Breidenbach, E.R. Johnson, 1999, Real-time estimation of mean field bias in radar rainfall data. J. of Hydrol., 223: 131–147.
Shih, S. F., 1982, “Rainfall variation analysis and optimization of gaging systems.” Water Resour. Res., 18:1269–1277.
Smith, J. A., Seo, D. J., Baeck, M. L., and Hudlow, M. D., 1996, “An Intercomparison Study of WSR-88D precipitation estimates.” Water Resour. Res., 32(7):2035–2045.
U.S. Army Corps of Engineers, 1994. Flood Runoff Analysis. Engineer Manual 1110-2-1417, Washington, DC.
U.S. Army Corps of Engineers, 1996. Hydrologic Aspects of Flood Warning — Preparedness Programs. Technical Letter 1110-2-540, Washington, DC.
U.S. Department of Commerce. 1947. Thunderstorm Rainfall, Hydrometeorological Report No. 5, Weather Bureau, Office of Hydrologic Director, Silver Springs, MD.
U.S. Department of Commerce, 2003. Federal Meteorological Handbook No. 11, Doppler Radar Meteorological Observations: Part A System Concepts, Responsibilities, and Procedures, FMC-H11A-2003, Washington, DC.
Vallabhaneni, S., B.E. Vieux, and T. Meeneghan. Radar-rainfall technology Integration into Hydrologic and Hydraulic Modeling Projects. Chapter in Practical Modeling of Urban Water Systems, Monograph 12. Proceedings of the 2003, Stormwater and Urban Water Systems Modeling Workshops and Conference, Toronto Canada. Computational Hydraulics Institute.
Vieux, B.E. and Bedient, P.B., 1998, “Estimation of rainfall for flood prediction from WSR-88D Reflectivity: A Case Study, 17–18 October 1994.” J. Weather and Forecast., 13(2):407–415.
Vieux, B.E., and P.B. Bedient, 2004, Assessing urban hydrologic prediction accuracy through event reconstruction. J. of Hydrol., Special Issue on Urban Hydrology. Forthcoming.
Vieux, B.E. and J.E. Vieux, 2003, Development of a Radar Rainfall System for Sewer System Management. Proceedings of Sixth International Workshop on Precipitation in Urban Areas Measured and Simulated Precipitation Data Requirements for Hydrological Modelling, 4–7 December, Pontresina, Switzerland.
Wilson, J. and Brandes, E., 1979, “Radar measurement of rainfall — A summary.” Bull. Amer. Meteor. Soc., 60: 1048–1058.
Zawadzki, I. I., 1973. Statistical properties of precipitation patterns, J. Appl. Meteor., 12: 459–472.
Zawadzki, I. I., 1975. On radar-raingage comparison, J. Appl. Meteor., 14: 1430–1436.
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(2004). Precipitation Measurement. In: Distributed Hydrologic Modeling Using GIS. Water Science and Technology Library, vol 48. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2460-6_8
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