Rainfall Accuracy Considerations Using Radar and Rain Gauge Networks for Rainfall-Runoff Monitoring

Components of urban drainage during wet weather affecting water quality in receiving waters are stormwater and overflows from sanitary or combined sewers. A common element affecting each of these components is the spatial distribution of rainfall over contributing areas. Knowing quantities of stormwater arriving at inlets, infiltrating into sanitary sewers, and the inflow into combined sewers is critical to successful hydraulic model calibration and sewer system design. Accuracy and representativeness of the spatial and temporal distribution of rainfall over contributing areas is an important determinant of model accuracy. It is not always feasible to install sufficient rain gauges to measure spatially representative rainfall over a metropolitan sewer district at the scale of sewersheds. Nor is it feasible to install streamflow monitoring stations or sample priority pollutants in every impacted watershed. Thus the combination of radar and rain gauges to characterize the distribution of rainfall offers technical advantages for monitoring both rainfall and runoff in urban areas. Evaluation of a 55-event series, the median accuracy, as measured by gauge-radar comparison, has a median average difference of ±8%. Gauge network density requirements should take into account the variability of precipitation, distribution over sewershed areas, and local or climatological trends caused by terrain or large water bodies. Runoff measured by streamflow is used to validate the radar to gauge correction and to test the influence of random and systematic error in the radar input. Because simulated runoff is dependent on the rainfall input

[1]  I. Zawadzki Statistical Properties of Precipitation Patterns , 1973 .

[2]  I. Zawadzki,et al.  On Radar-Raingage Comparison , 1975 .

[3]  James W. Wilson,et al.  Radar Measurement of Rainfall—A Summary , 1979 .

[4]  D. Zrnic,et al.  Doppler Radar and Weather Observations , 1984 .

[5]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system , 1986 .

[6]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system , 1986 .

[7]  I. Zawadzki,et al.  Reflectivity-Rain Rate Relationships for Radar Hydrology in Brazil , 1987 .

[8]  Wayne C. Huber,et al.  Hydrology and Floodplain Analysis , 1989 .

[9]  D. Rosenfeld,et al.  Climatologically tuned reflectivity-rain rate relations and links to area-time integrals , 1990 .

[10]  Baxter E. Vieux,et al.  Finite‐Element Modeling of Storm Water Runoff Using GRASS GIS , 1992 .

[11]  David B. Wolff,et al.  General Probability-matched Relations between Radar Reflectivity and Rain Rate , 1993 .

[12]  M. Wigmosta,et al.  A distributed hydrology-vegetation model for complex terrain , 1994 .

[13]  Pierre Y. Julien,et al.  Runoff model sensitivity to radar rainfall resolution , 1994 .

[14]  Philip B. Bedient,et al.  Estimation of Rainfall for Flood Prediction from WSR-88D Reflectivity: A Case Study, 17–18 October 1994* , 1998 .

[15]  Dong-Jun Seo,et al.  The WSR-88D rainfall algorithm , 1998 .

[16]  Baxter E. Vieux,et al.  Distributed Hydrologic Modeling Using GIS , 2001 .

[17]  Edward H. Burgess,et al.  DESIGN STORM ANALYSIS OF SEWER SYSTEM CAPACITY , 2003 .

[18]  Terry J. Meeneghan,et al.  Radar-Rainfall Technology Integration into Hydrologic and Hydraulic Modeling Projects , 2004 .

[19]  Philip B. Bedient,et al.  Assessing urban hydrologic prediction accuracy through event reconstruction , 2004 .

[20]  Guido Vaes,et al.  Towards a roadmap for use of radar rainfall data in urban drainage , 2004 .