Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? ; volume:21 ; number:2 ; year:2017 ; pages:839-861
Hydrology and earth system sciences ; 21, Heft 2 (2017), 839-861

Creator: Mazzoleni, Maurizio
Verlaan, Martin
Alfonso, Leonardo
Monego, Martina
Norbiato, Daniele
Ferri, Miche
Solomatine, Dimitri P.

DOI: 10.5194/hess-21-839-2017

URN: urn:nbn:de:101:1-201711057428

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Mazzoleni, Maurizio
Verlaan, Martin
Alfonso, Leonardo
Monego, Martina
Norbiato, Daniele
Ferri, Miche
Solomatine, Dimitri P.

Other Objects (12)

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Comment on Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni et al. (2017)

Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment

Enhancing inundation monitoring of road networks using crowdsourced flood reports

Variational data assimilation for operational flood forecasting

Technical note: Design flood under hydrological uncertainty

Using ensemble data assimilation to forecast hydrological flumes

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Discharge assimilation in a distributed flood forecasting model

Coupling meteorological and hydrological models for flood forecasting

Modeling hydrological fluxes of tropical mountainous watersheds in Kenya using crowdsourced water level data

Variational assimilation of remotely sensed flood extents using a two-dimensional flood model

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Comment on Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni et al. (2017)

Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment

Enhancing inundation monitoring of road networks using crowdsourced flood reports

Variational data assimilation for operational flood forecasting

Technical note: Design flood under hydrological uncertainty

Using ensemble data assimilation to forecast hydrological flumes

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Discharge assimilation in a distributed flood forecasting model

Coupling meteorological and hydrological models for flood forecasting

Modeling hydrological fluxes of tropical mountainous watersheds in Kenya using crowdsourced water level data

Variational assimilation of remotely sensed flood extents using a two-dimensional flood model

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Comment on Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni et al. (2017)

Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment

Enhancing inundation monitoring of road networks using crowdsourced flood reports

Variational data assimilation for operational flood forecasting

Technical note: Design flood under hydrological uncertainty

Using ensemble data assimilation to forecast hydrological flumes

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Discharge assimilation in a distributed flood forecasting model

Coupling meteorological and hydrological models for flood forecasting

Modeling hydrological fluxes of tropical mountainous watersheds in Kenya using crowdsourced water level data

Variational assimilation of remotely sensed flood extents using a two-dimensional flood model

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Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?

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Other Objects (12)

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Comment on Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni et al. (2017)

Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment

Enhancing inundation monitoring of road networks using crowdsourced flood reports

Variational data assimilation for operational flood forecasting

Technical note: Design flood under hydrological uncertainty

Using ensemble data assimilation to forecast hydrological flumes

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Discharge assimilation in a distributed flood forecasting model

Coupling meteorological and hydrological models for flood forecasting

Modeling hydrological fluxes of tropical mountainous watersheds in Kenya using crowdsourced water level data

Variational assimilation of remotely sensed flood extents using a two-dimensional flood model

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Comment on Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni et al. (2017)

Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment

Enhancing inundation monitoring of road networks using crowdsourced flood reports

Variational data assimilation for operational flood forecasting

Technical note: Design flood under hydrological uncertainty

Using ensemble data assimilation to forecast hydrological flumes

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Discharge assimilation in a distributed flood forecasting model

Coupling meteorological and hydrological models for flood forecasting

Modeling hydrological fluxes of tropical mountainous watersheds in Kenya using crowdsourced water level data

Variational assimilation of remotely sensed flood extents using a two-dimensional flood model

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Comment on Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni et al. (2017)

Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment

Enhancing inundation monitoring of road networks using crowdsourced flood reports

Variational data assimilation for operational flood forecasting

Technical note: Design flood under hydrological uncertainty

Using ensemble data assimilation to forecast hydrological flumes

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Discharge assimilation in a distributed flood forecasting model

Coupling meteorological and hydrological models for flood forecasting

Modeling hydrological fluxes of tropical mountainous watersheds in Kenya using crowdsourced water level data

Variational assimilation of remotely sensed flood extents using a two-dimensional flood model

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