Imperial College London
Alternate

DrChristianOnof

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Stochastic Environmental Systems
 
 
 
//

Contact

 

c.onof

 
 
//

Location

 

410Skempton BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Schellart:2017,
author = {Schellart, ANA and Wang, L and Onof, C},
pages = {115--120},
publisher = {ETH Zurich},
title = {High resolution rainfall measurement and analysis in a small urban catchment},
url = {http://hdl.handle.net/10044/1/54524},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Rainfall data from operational radar or rain gauge networks is generally not available at a resolution smaller than 1km 2 . Due to short lead times and high percentage of impervious area, the spatial variability of rainfall becomes important when simulating flow and runoff in smaller urban catchments. In the UK there is a growing interest in modelling rainfall runoff and flooding processes at scales much smaller then 1km 2 . As high density rainfall data are scarce, statistical downscaling techniques are sometimes used to spatially downscale radar or rain gauge data, in order to include the effects of small scale rainfall variability. These downscaling techniques are, however, generally not verified against high resolution rainfall data measured on the ground. This paper describes a study where operational UK radar data has been downscaled to areas between 10 and 100 m, and compared with data from a network of 16 tipping bucket raingauges located in an urban area  <  1km 2 .
AU  - Schellart,ANA
AU  - Wang,L
AU  - Onof,C
EP  - 120
PB  - ETH Zurich
PY  - 2017///
SP  - 115
TI  - High resolution rainfall measurement and analysis in a small urban catchment
UR  - http://hdl.handle.net/10044/1/54524
ER  -
Download