Satellite Data Assimilation into a Suspended Particulate
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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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Model area & seabed fine sediment distribution:

%

fine sediment grain size 20-60μm


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


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


MERIS data processing:

MERIS RGB view

Modeled max of SPM


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.


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)


Effect of data assimilation 1:

Surface SPM concentration, mg/l

MERIS

Model with assimilation

Model before assimilation

Model without assimilation



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)


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.


thank you for your attention

Satellite Data Assimilation into a Suspended Particulate

Matter Transport Model


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