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Cited by 145 publications
(96 citation statements)
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References 42 publications
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“…It has been demonstrated that radar QPE can be a useful and reliable forcing for flood/streamflow forecasting in poorly gauged or ungauged regions [61,65]. For gauged areas, radar precipitation can be merged with gauged precipitation to generate a more accurate QPE product with a good spatiotemporal coverage and resolution, so as to benefit rainfall-runoff modelling and flood simulation [61,[67][68][69][70][71].…”
Section: Implementation Of Weather Radar Precipitationmentioning
confidence: 99%
See 2 more Smart Citations
“…It has been demonstrated that radar QPE can be a useful and reliable forcing for flood/streamflow forecasting in poorly gauged or ungauged regions [61,65]. For gauged areas, radar precipitation can be merged with gauged precipitation to generate a more accurate QPE product with a good spatiotemporal coverage and resolution, so as to benefit rainfall-runoff modelling and flood simulation [61,[67][68][69][70][71].…”
Section: Implementation Of Weather Radar Precipitationmentioning
confidence: 99%
“…Because of the limited footprint of a single weather station, early streamflow prediction applications were confined to small scale catchments [59,68]. Development of the radar network has brought the potential to use radar QPE for large scale applications closer to reality.…”
Section: Implementation Of Weather Radar Precipitationmentioning
confidence: 99%
See 1 more Smart Citation
“…The space-time resolution requirements for areal rainfall estimations vary depending on the application, catchment area, type of rainfall event, and type of model used 1 . Accurate hourly areal rainfall with fine temporal resolution is an essential prerequisite for successful flood estimation and forecasts.…”
Section: Introductionmentioning
confidence: 99%
“…However rainfall statistics from raingage cross 5 validation alone can not be compared on a like-for-like basis: a better test of a rainfall interpolator for hydrological modelling is to use their rainfall estimates as model input and to assess the modelled flows against observations (Cole and Moore, 2008).…”
mentioning
confidence: 99%