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Satellite Data Assimilation into a Suspended Particulate Matter Transport Model

Satellite Data Assimilation into a Suspended Particulate Matter Transport Model. Model area & seabed fine sediment distribution:. %. fine sediment grain size 20-60 μm. SPM dynamics modelling concept:. model. initial data. boundary conditions. model output. Wave Model WAM.

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Satellite Data Assimilation into a Suspended Particulate Matter Transport Model

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  1. Satellite Data Assimilation into a Suspended Particulate Matter Transport Model

  2. Model area & seabed fine sediment distribution: % fine sediment grain size 20-60μm

  3. SPM dynamics modelling concept: model initial data boundary conditions modeloutput Wave Model WAM Water temperature Salinity OCEAN: Sea surface height Water temperature Salinity significant waves height waves direction waves period Topography RIVERS: Fresh water discharge SPM Concentration Circulation SPM transport model (based on HAMSOM) SPM concentration Seabed sedimentation field ATMOSPHERE: Cloudiness Relative humidity Solar radiation Evaporation Precipitation Air temperature Air pressure Wind + Satellite data assimilation SPM 3D-Concentration field

  4. Processes included in the model: Mixing Water column Seabed Water column Seabed Transport with ocean currents Mixing due to waves and currents Sinking Bioturbation Erosion Sedimentation Resuspension Sedimentation Resuspension Currents Transport Bioturbation Sinking Erosion 21 Water layers 5-10 m 21 Seabed layers 0.5-1.0 mm

  5. MERIS data processing: MERIS RGB view Modeled max of SPM

  6. Spatial coverage of the southern North Sea by MERIS: Spatial coverage of the southern North Sea by MERIS data in the year 2003 calculated in % of the modelling domain area.

  7. MERIS data assimilation (Optimum Interpolation, OI) New analyzed surface SPM concentration Mass balance Profile and mass correction Data processor and quality control OI into the upper model layer Seabed First guess field (model)

  8. Effect of data assimilation 1: Surface SPM concentration, mg/l MERIS Model with assimilation Model before assimilation Model without assimilation

  9. Effect of data assimilation 2:

  10. Modeled seasonal mean surface SPM concentration: 15 April-15 October 2003 calm 15 October – 15 April 2003 storm Without assimilation mg/l MERIS data assimilation (Optimum Interpolation)

  11. Summary: • Quality control, based on the model results and flags information calculated by the MERIS Case-2 Regional processor filters out unrealistic values in the MERIS SPM surface concentration. • About 300 MERIS scenes were assimilated into the SPM model throughout the year 2003. • The data assimilation signal remains in the model for a couple of days after the assimilation event. • The seasonal distribution patterns of SPM changed considerably due to assimilation. • The data assimilation improves the horizontal SPM distribution, especially its fine structures, i.e. in the location of SPM front in the German Bight and near English cliffs.

  12. thank you for your attention Satellite Data Assimilation into a Suspended Particulate Matter Transport Model

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