b43ce022c8f94f79b5c3b3ede7aad975 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset Centre for Environmental Data Analysis (CEDA) 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-04-30T02:18:02 UK GEMINI 2.3 WGS 84 DEMON: Simulation output from ensemble assimilation of Synthetic Aperture Radar (SAR) water level observations into the Lisflood-FP flood forecast model 2018-06-28T13:11:37 publication 2018-06-28T13:11:37 creation https://catalogue.ceda.ac.uk/uuid/b43ce022c8f94f79b5c3b3ede7aad975 b43ce022c8f94f79b5c3b3ede7aad975 Centre for Environmental Data Analysis (CEDA) http://dx.doi.org/10.5285/b43ce022c8f94f79b5c3b3ede7aad975 doi 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 García-Pintado, Javier Unavailable author Unavailable author Centre for Environmental Data Analysis (CEDA) custodian 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk custodian Natural Environment Research Council (NERC) data_owner 01793 411500 Polaris House North Star Avenue Swindon SN2 1EU United Kingdom unknown owner Centre for Environmental Data Analysis (CEDA) distributor 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor Bates, Paul Unavailable principal_investigator Unavailable principalInvestigator Centre for Environmental Data Analysis (CEDA) point_of_contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointofContact García-Pintado, Javier Unavailable point_of_contact Unavailable pointofContact Centre for Environmental Data Analysis (CEDA) publisher 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset DEMON Synthetic Aperture Radar Flood forecast Assimilation Ensemble Kalman Filter atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English climatologyMeteorologyAtmosphere -2.391243 -1.942119 51.94913 52.39685 2012-11-01T00:00:00 2012-12-31T23:59:59 Data are R binary formatted Centre for Environmental Data Analysis (CEDA) Data Center Contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/b43ce022c8f94f79b5c3b3ede7aad975 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/deposited2018/demon DOWNLOAD Download Data download http://centaur.reading.ac.uk/39388/7/1-s2.0-S0022169415001031-main.pdf Satellite-supported flood forecasting in river networks: A real case study No further details. information http://centaur.reading.ac.uk/77369/ Technical note: assessment of observation quality for data assimilation in flood models No further details. information dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Data were delivered by the project team to be archived at the Centre for Environmental Data Analysis (CEDA)