TY - JOUR
T1 - Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling
T2 - A case study
AU - Gires, A.
AU - Onof, C.
AU - Maksimovic, C.
AU - Schertzer, D.
AU - Tchiguirinskaia, I.
AU - Simoes, N.
PY - 2012/6/6
Y1 - 2012/6/6
N2 - This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1. km. ×. 1. km. ×. 5. min which is usually available with C-band radar networks. A case study is done on the 900. ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with radar distributed rainfall, and the spatial resolution are power law related.
AB - This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1. km. ×. 1. km. ×. 5. min which is usually available with C-band radar networks. A case study is done on the 900. ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with radar distributed rainfall, and the spatial resolution are power law related.
KW - Downscaling
KW - Ensemble predictions
KW - Multifractals
KW - Rainfall variability
KW - Urban runoff
UR - https://www.scopus.com/pages/publications/84861224141
U2 - 10.1016/j.jhydrol.2012.04.005
DO - 10.1016/j.jhydrol.2012.04.005
M3 - Article
AN - SCOPUS:84861224141
SN - 0022-1694
VL - 442-443
SP - 117
EP - 128
JO - Journal of Hydrology
JF - Journal of Hydrology
ER -