Satellite Data Assimilation into a
Suspended Particulate
Matter Transport Model
2
Model area & seabed fine sediment distribution:
%
fine sediment grain size 20
-
60
μm
3
SPM dynamics
modelling
concept:
model
output
initial data
boundary conditions
model
Wave Model
WAM
Circulation SPM
transport model
(based on HAMSOM)
Water
temperature
Salinity
Topography
significant waves height
waves direction
waves period
SPM concentration
Seabed
sedimentation
field
ATMOSPHERE:
Cloudiness
Relative humidity
Solar radiation
Evaporation
Precipitation
Air temperature
Air pressure
Wind
OCEAN:
Sea surface height
Water temperature
Salinity
RIVERS:
Fresh water
discharge
SPM Concentration
SPM
3D
-
Concentration field
Satellite
data assimilation
+
4
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
Currents
Transport
Mixing
Sinking
Bioturbation
Erosion
Bioturbation
Seabed
21 Water layers
5
-
10 m
21 Seabed layers
0.5
-
1.0 mm
Erosion
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.
0
10
20
30
40
50
60
70
80
90
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
MERIS
MERIS C2R flags
MERIS C2R flags+max SPM
7
New analyzed
surface
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/m
3
Z, m
before OI
after OI
First guess field
(model)
Data processor
and
quality control
Seabed
Mass balance
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:
5
10
15
20
25
30
35
40
45
0
10
20
30
40
50
Stations
Surface SPM concentration, mg l
-1
observations
modelled without assimilation
modelled with assimilation
Observations, mg/l
Model with
assimilation, mg/l
Model 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
10
Modeled seasonal mean surface SPM concentration:
Without assimilation
MERIS data assimilation (Optimum Interpolation)
15 April
-
15 October 2003
calm
15 October
–
15 April 2003
storm
mg/l
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
Satellite Data Assimilation into a Suspended
Particulate
Matter Transport Model
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