Satellite Data Assimilation into a Suspended Particulate Matter Transport Model
Jan 17, 2016
Satellite Data Assimilation into a Suspended ParticulateMatter Transport Model
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Model area & seabed fine sediment distribution:
%
fine sediment grain size 20-60μm
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SPM dynamics modelling concept:
model output
initial databoundary conditions
model
Wave ModelWAM
Circulation SPM transport model
(based on HAMSOM)
Water temperatureSalinity
Topography
significant waves height waves directionwaves period
SPM concentrationSeabed sedimentation field
ATMOSPHERE: CloudinessRelative humiditySolar radiationEvaporationPrecipitationAir temperatureAir pressureWind
OCEAN:Sea surface heightWater temperatureSalinity
RIVERS:Fresh water dischargeSPM Concentration
SPM3D-Concentration field
Satellite data assimilation
+
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Processes included in the model:
Sedimentation
Resuspension
Sedimentation
Water column
Seabed
Resuspension
Water column
Transport with ocean currents
Mixing due to waves and currents
Sinking
CurrentsTransport
Mixing
Sinking
Bioturbation
Erosion
Bioturbation
Seabed
21 Water layers
5-10 m
21 Seabed layers
0.5-1.0 mm
Erosion
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MERIS data processing:
MERIS RGB view
Modeled max of SPM
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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.
0
10
20
30
40
50
60
70
80
90
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
MERISMERIS C2R flagsMERIS C2R flags+max SPM
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New analyzedsurface SPM
concentration
MERIS data assimilation (Optimum Interpolation, OI)
OI into the upper model layer
Profile and mass correction
0 5 10 15
5
10
15
20
25
30
35
C, g/m3
Z, m
before OI
after OI
First guess field (model)
Data processorand
quality control
Seabed
Mass balance
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Effect of data assimilation 1:
Surface SPM concentration, mg/l
MERIS Model with assimilation
Model before assimilation Model without assimilation
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Effect of data assimilation 2:
5 10 15 20 25 30 35 40 450
10
20
30
40
50
Stations
Sur
face
SP
M c
once
ntra
tion,
mg
l -1
observations
modelled without assimilationmodelled with assimilation
Observations, mg/lModel with
assimilation, mg/lModel without assimilation, mg/l
range mean range mean range mean
0.41 – 9.56 3.00 1.67 – 24.99 5.10 0.07 – 47.23 5.40
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Modeled seasonal mean surface SPM concentration:
Without assimilation
MERIS data assimilation (Optimum Interpolation)
15 April-15 October 2003calm
15 October – 15 April 2003storm
mg/l
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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.
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Satellite Data Assimilation into a Suspended Particulate
Matter Transport Model
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