Download - AOD Assimilation with CMA 3-D Var Scheme
AOD Assimilation with CMA 3-D Var Scheme
Sunling Gong
Why AOD Data Assimilation?
PM Predictions at US and Europe
PM10 (1997-2004)
EMEP-Observation [ g m-3 ]
0 20 40 60 80 100
GE
M-A
Q-S
imu
lati
on
[ g
m-3
]
0
20
40
60
80
100Spring (26.30; 73.32; 0.38)%Summer (5.25; 94.36; 0.39)%Autumn (35.84; 64.16; 0.0)%Winter (63.69; 35.71; 0.60)%Y=0.2069X+7.0222; r = 0.3064
PM2.5 (1998-2004)
EMEP-Observation [ g m-3 ]
0 10 20 30 40 50
GE
M-A
Q-S
imu
lati
on
[
g m
-3 ]
0
10
20
30
40
50Spring (9.69; 82.70; 7.61)%Summer (0.68; 94.54; 4.78)%Autumn (16.61; 81.73; 1.66)%Winter (47.01; 51.87; 1.12)%Y=0.2052X+7.2826; r = 0.2544
Gong et al. submitted
US
Europe
PM 10 Predictions in China
PM10 (2004)
China-Observation [ g m-3 ]
0 100 200 300 400 500
GE
M-A
Q-S
imu
lati
on
[
g m
-3 ]
0
100
200
300
400
500Spring (100.0; 0.0; 0.0)%Summer (100.0;0.0;0.0)%Autumn (100.0; 0.0;0.0)%Winter (100.0; 0.0;0.0)%Y=0.0484X+11.4929; r = 0.3899
AOD Comparisons
AOD (1995-2004)
AERONET-Observation
0.0 0.5 1.0 1.5 2.0 2.5
GE
M-A
Q-S
imu
lati
on
0.0
0.5
1.0
1.5
2.0
2.5Spring (2.09; 67.14; 30.77)%Summer (1.94; 65.44; 32.62)%Autumn (5.60; 63.55; 30.85)%Winter (3.17; 63.03; 33.80)%Y=0.3473X+0.1903; r = 0.5787
Gong et al. submitted
Year 1 Annual Correlation (R) Values
Moran et al. 10th CMAS Conference
Application of near-real-time (NRT) data:
(1) Provide more realistic initial conditions;(2) Emission corrections.
AOD Data Assimilation System
AODAS
3D-Var is to minimize objective function J(x):
))(())(()()(2
1)( 1T1T
oobb xHxHxxxxxJ yOyB
3D-Var Method
where x is the analysis field of AOD, xb the background field of AOD provided by model, B the background error covariance matrix, y0 the observation of AOD and O the observation error covariance matrix. H is the observation operator matrix that transfers the variables from model space to observational space.
Obs. Model
DAS for Dust
First Guess
3D-Var
analysis-field
Forecast result
Satellite: IDDISurface: Visibility
Satellite: FY-2C
Surface: Visibility
CMA Dust Assimilation System
CUACE/Dust
With DASWith DASNo DASNo DAS
CUACE/Dust : WMO SDS-WAS
Niu et al 2008
2006 Spring Forecasts: threat Score (TS) increased from 0.22 to 0.31, a 41% enhancement.
2006 Spring Forecasts: threat Score (TS) increased from 0.22 to 0.31, a 41% enhancement.
GEM-MACH AOD Assimilation Scheme
GEM-MACH AOD12 size bins of 5 aerosol types
3-D Var
MODIS or others AOD
Assimilated AOD
NRT AOD from GOES Satellite
0 010E 30E 50E 70E 90E 110E 130E 150E 170E 170W 150W 130W 110W 90W 70W 50W 30W
90S
80S
70S
60S
50S
40S
30S
20S
10S
0
10N
20N
30N
40N
50N
60N
70N
80N
90N
Undef
< 0.4
0.4 - 0.8
0.8 - 1.2
1.2 - 1.6
1.6 - 2
2 - 2.4
2.4 - 2.8
2.8 - 3.2
3.2 - 3.6
3.6 - 4
> 4
MeteoInfo: Meteological Data Information System
A Daily AOD from MODIS
Deep Blue” AOD productover bright land surface
0.55 μm bandfrom both Terra and Aqua.
M O D - TerraM YD - Aqua
AOD Assimilation for GEM-MACH Globe
Future Work
GEM-MACH Global Futures
• Implement into GEM-MACH Global and late in to GEM-MACH regional;
• Evaluate the results;
• Compare the assimilation results with MODIS and GOES AOD;
• More ......
Thanks!