Comparing quantitative precipitation forecast methods for prediction of sewer flows in a small urban area

Abstract Due to the relatively small spatial scale, as well as rapid response, of urban drainage systems, the use of quantitative rainfall forecasts for providing quantitative flow and depth predictions is a challenging task. Such predictions are important when consideration is given to urban pluvial flooding and receiving water quality, and it is worthwhile to investigate the potential for improved forecasting. In this study, three quantitative precipitation forecast methods of increasing complexity were compared and used to create quantitative forecasts of sewer flows 0–3 h ahead in the centre of a small town in the north of England. The HyRaTrac radar nowcast model was employed, as well as two different versions of the more complex STEPS model. The STEPS model was used as a deterministic nowcasting system, and was also blended with the Numerical Weather Prediction (NWP) model MM5 to investigate the potential of increasing forecast lead-times (LTs) using high-resolution NWP. Predictive LTs between 15 and 90 min gave acceptable results, but were a function of the event type. It was concluded that higher resolution rainfall estimation as well as nowcasts are needed for prediction of both local pluvial flooding and combined sewer overflow spill events. Editor D. Koutsoyiannis; Guest editor R.J. Moore Citation Schellart, A., Liguori, S., Krämer, S., Saul, A., and Rico-Ramirez, M.A., 2014. Comparing quantitative precipitation forecast methods for prediction of sewer flows in a small urban area. Hydrological Sciences Journal, 59 (7), 1418–1436. http://dx.doi.org/10.1080/02626667.2014.920505

[1]  Ian Cluckie,et al.  A high‐resolution radar experiment on the island of Jersey , 2007 .

[2]  Neill E. Bowler,et al.  Development of a precipitation nowcasting algorithm based upon optical flow techniques , 2004 .

[3]  Witold F. Krajewski,et al.  Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall , 2010 .

[4]  Peter Krahe,et al.  The COST 731 Action : a review on uncertainty propagation in advanced hydro-meteorological forecast systems , 2011 .

[5]  I. Zawadzki,et al.  Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology , 2002 .

[6]  J. Dudhia A Nonhydrostatic Version of the Penn State–NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front , 1993 .

[7]  W. Briggs Statistical Methods in the Atmospheric Sciences , 2007 .

[8]  Witold F. Krajewski,et al.  Radar analyses of extreme rainfall and flooding in urban drainage basins , 2010 .

[9]  G. Grell,et al.  A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5) , 1994 .

[10]  Adrian J. Saul,et al.  Using probabilistic radar rainfall nowcasts and NWP forecasts for flow prediction in urban catchments , 2012 .

[11]  K. A. Tilford,et al.  Real-time urban drainage system modelling using weather radar rainfall data , 1999 .

[12]  Miguel A. Rico-Ramirez,et al.  Quantitative assessment of short‐term rainfall forecasts from radar nowcasts and MM5 forecasts , 2012 .

[13]  Stefan Achleitner,et al.  Nowcasting of rainfall and of combined sewage flow in urban drainage systems. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[14]  Frédéric Fabry,et al.  Quantifying and predicting the accuracy of radar-based quantitative precipitation forecasts , 2007 .

[15]  D. A. Woolhiser,et al.  Impact of small-scale spatial rainfall variability on runoff modeling , 1995 .

[16]  Alexis Berne,et al.  Temporal and spatial resolution of rainfall measurements required for urban hydrology , 2004 .

[17]  Improvements on flow forecasting using precipitation nowcasting based in radar advection techniques: assessment of predictability and uncertainty propagation , 2005 .

[18]  D. L. Harrison,et al.  High-resolution precipitation estimates for hydrological uses , 2009 .

[19]  T. Denoeux,et al.  A radar rainfall forecasting method designed for hydrological purposes , 1990 .

[20]  Wolfgang Schilling,et al.  Rainfall data for urban hydrology: what do we need? , 1991 .

[21]  Albert S. Chen,et al.  An analysis of the combined consequences of pluvial and fluvial flooding. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

[22]  Frédéric Fabry,et al.  High resolution rainfall measurements by radar for very small basins: the sampling problem reexamined , 1994 .

[23]  M Maeda,et al.  Development of the real-time control (RTC) system for Tokyo sewage system. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[24]  A. Seed,et al.  STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP , 2006 .

[25]  Adrian J. Saul,et al.  Influence of rainfall estimation error and spatial variability on sewer flow prediction at a small urban scale , 2012 .

[26]  Juanzhen Sun,et al.  Nowcasting Thunderstorms: A Status Report , 1998 .

[27]  M. Roth A quantitative assessment , 1987 .

[28]  A. Seed A Dynamic and Spatial Scaling Approach to Advection Forecasting , 2001 .

[29]  L. Fuchs,et al.  Aspects of Radar Rainfall Forecasts and their Effectiveness for Real Time Control -The Example of the Sewer System of the City of Vienna , 2007 .

[30]  Chrim Scivyer,et al.  THE DEVELOPMENT AND IMPLEMENTATION , 2022 .

[31]  L. Fuchs,et al.  Development and implementation of a real-time control strategy for the sewer system of the city of Vienna. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[32]  K. T Smith,et al.  Nowcasting precipitation — a proposal for a way forward , 2000 .

[33]  Dawn Harrison,et al.  Improving precipitation estimates from weather radar using quality control and correction techniques , 2000 .