DEMON: Simulation output from ensemble assimilation of Synthetic Aperture Radar (SAR) water level observations into the Lisflood-FP flood forecast model
This dataset contains simulation results from ensemble assimilation of Synthetic Aperture Radar (SAR) water level observation into Lisflood-FP flood forecast model for the the lower Severn-Avon rivers in the South West United Kingdom. This was run over a 30.6 x 49.8 km (1524 km2) domain, as part of Developing enhanced impact models for integration with next generation NWP and climate outputs (DEMON) project (NE/I005242/1).
COSMO-Skymed Synthetic Aperture Radar (CSK-SAR) data were acquired processed and transformed into Water Level Observations (WLOs) by crossing with LiDAR Digital Terrain Model. Data from Environment Agency (EA) rain gauges were used to estimate precipitation and combined with potential evapotranspiration data from the Met Office's Met Office Rainfall and Evapo-transpiration Calculation System (MORECS) to generate forcings within the "topHSPF" catchment-scale rainfall-runoff hydrologic model. These were used in tern to generate simulated runoff forecast used as the forcing for the coupled Lisflood-FP v5.9 inundation model.
CSK-SAR based WLO were assimilated into ensemble simulations using the Lisflood-FP v5.9 model, run with perturbed physics (friction parameters, bathymetric errors) and runoff inputs from the topHSPF hydrologic model
Simple
- Date (Publication)
- 2018-06-28T13:11:37
- Date (Creation)
- 2018-06-28T13:11:37
- Identifier
- Centre for Environmental Data Analysis (CEDA) / b43ce022c8f94f79b5c3b3ede7aad975
- Identifier
- doi / http://dx.doi.org/10.5285/b43ce022c8f94f79b5c3b3ede7aad975
- Maintenance and update frequency
- Not planned
- Update scope
- Dataset
- Keywords
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- DEMON
- Synthetic Aperture Radar
- Flood forecast
- Assimilation
- Ensemble Kalman Filter
- GEMET - INSPIRE themes, version 1.0
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- atmospheric conditions
- Access constraints
- Other restrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- Other restrictions
- Spatial representation type
- Grid
- Metadata language
- English
- Topic category
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- Climatology, meteorology, atmosphere
- Begin date
- 2012-11-01T00:00:00
- End date
- 2012-12-31T23:59:59
- Unique resource identifier
- WGS 84
- Distribution format
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Data are R binary formatted
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Data are R binary formatted
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- OnLine resource
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CEDA Data Catalogue Page
Detail and access information for the resource
- OnLine resource
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DOWNLOAD
Download Data
- OnLine resource
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Satellite-supported flood forecasting in river networks: A real case study
No further details.
- OnLine resource
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Technical note: assessment of observation quality for data assimilation in flood models
No further details.
- Hierarchy level
- Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Data were delivered by the project team to be archived at the Centre for Environmental Data Analysis (CEDA)
- File identifier
- b43ce022c8f94f79b5c3b3ede7aad975 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-09-05T23:22:23
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3