Articles | Volume 23, issue 6
Hydrol. Earth Syst. Sci., 23, 2541–2559, 2019
https://doi.org/10.5194/hess-23-2541-2019
Hydrol. Earth Syst. Sci., 23, 2541–2559, 2019
https://doi.org/10.5194/hess-23-2541-2019

Research article 05 Jun 2019

Research article | 05 Jun 2019

Observation operators for assimilation of satellite observations in fluvial inundation forecasting

Elizabeth S. Cooper et al.

Viewed

Total article views: 1,988 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,358 590 40 1,988 55 50
  • HTML: 1,358
  • PDF: 590
  • XML: 40
  • Total: 1,988
  • BibTeX: 55
  • EndNote: 50
Views and downloads (calculated since 20 Dec 2018)
Cumulative views and downloads (calculated since 20 Dec 2018)

Viewed (geographical distribution)

Total article views: 1,523 (including HTML, PDF, and XML) Thereof 1,515 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 05 Dec 2021
Download
Short summary
Flooding from rivers is a huge and costly problem worldwide. Computer simulations can help to warn people if and when they are likely to be affected by river floodwater, but such predictions are not always accurate or reliable. Information about flood extent from satellites can help to keep these forecasts on track. Here we investigate different ways of using information from satellite images and look at the effect on computer predictions. This will help to develop flood warning systems.