Journal article
Comparing the impact of time displaced and biased precipitation estimates for online updated urban runoff models
When an online runoff model is updated from system measurements, the requirements of the precipitation input change. Using rain gauge data as precipitation input there will be a displacement between the time when the rain hits the gauge and the time where the rain hits the actual catchment, due to the time it takes for the rain cell to travel from the rain gauge to the catchment.
Since this time displacement is not present for system measurements the data assimilation scheme might already have updated the model to include the impact from the particular rain cell when the rain data is forced upon the model, which therefore will end up including the same rain twice in the model run.
This paper compares forecast accuracy of updated models when using time displaced rain input to that of rain input with constant biases. This is done using a simple time-area model and historic rain series that are either displaced in time or affected with a bias. The results show that for a 10 minute forecast, time displacements of 5 and 10 minutes compare to biases of 60 and 100%, respectively, independent of the catchments time of concentration. © IWA Publishing 2013.
Language: | English |
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Year: | 2013 |
Pages: | 109-116 |
ISSN: | 19969732 and 02731223 |
Types: | Journal article |
DOI: | 10.2166/wst.2013.221 |
ORCIDs: | Borup, Morten and Mikkelsen, Peter Steen |
Catchments Data processing Gages Radar Rain Rain gages Runoff Sewage
Environmental Monitoring Models, Theoretical Water Movements