Author(s): Kevis Mbonyinshuti; Vito Bacchi; Boris Basic; Sebastien Boyaval; Cedric Goeury
Linked Author(s): Cedric GOEURY, Vito Bacchi
Keywords: No Keywords
Abstract: Various tools are now available to confidently extract information about the dynamics of large water masses from satellite observations. We consider how to use them to improve the numerical prediction of floods by hydraulic models based on the 2D SWE, like TELEMAC- (www. opentelemac. org). A number of studies have already tried to improve the calibration of the 2D SWE (i. e. the friction) for flood prediction. However, the procedure still needs qualifying on considering the various possibilities to use i. e. postprocess the data (Hostache et al., 2018). In this contribution, we propose a procedure to post-process and next assimilate Sentinel-I SAR data into TELEMAC-2D. To start with, we evaluate the numerical prediction of a flood event of 3 days by TELEMAC2D in comparison with the data post-processed following our proposed procedure. The numerical results show that our post-process data correlate well with numerical predictions obtained from pure in-situ data. So they could be further used to guide future predictions, after hybrid calibration with data collected in-situ and remotely.
Year: 2022