Observation operators for assimilation of satellite observations in fluvial inundation forecasting

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Observation operators for assimilation of satellite observations in fluvial inundation forecasting ; year:2018 ; pages:1-32
Hydrology and earth system sciences discussions ; (2018), 1-32

Creator: Cooper, Elizabeth S.
Dance, Sarah L.
García-Pintado, Javier
Nichols, Nancy K.
Smith, Polly

DOI: 10.5194/hess-2018-589

URN: urn:nbn:de:101:1-2018122704072166310745

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

Last update: 15.08.2025, 9:31 PM CEST

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Cooper, Elizabeth S.
Dance, Sarah L.
García-Pintado, Javier
Nichols, Nancy K.
Smith, Polly

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Observation operators for assimilation of satellite observations in fluvial inundation forecasting

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Other Objects (12)

Assimilation of satellite flood likelihood data improves inundation mapping from a simulation library system

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Hybrid neural networks in rainfall-inundation forecasting based on a synthetic potential inundation database

Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping

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Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai

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Variational data assimilation for operational flood forecasting

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Fluvial Flood Inundation and Humanitarian Impact Model Based On Open Data

Forecasting dryland vegetation condition months in advance through satellite data assimilation

Fluvial flood inundation and socio-economic impact model based on open data

Hybrid neural networks in rainfall-inundation forecasting based on a synthetic potential inundation database

Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping

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Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai

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Variational data assimilation for operational flood forecasting

Identification of the spatio-temporal and fluvial-pluvial sources of flood inundation in the Lower Mekong Basin

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Fluvial Flood Inundation and Humanitarian Impact Model Based On Open Data

Forecasting dryland vegetation condition months in advance through satellite data assimilation

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Hybrid neural networks in rainfall-inundation forecasting based on a synthetic potential inundation database

Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping

Sequential data assimilation for real-time probabilistic flood inundation mapping

Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai

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Identification of the spatio-temporal and fluvial-pluvial sources of flood inundation in the Lower Mekong Basin

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