RETRIEVAL AND APPLICATIONS OF ATMOSPHERIC MOTION VECTORS USING INSAT-3D/3DR DATA : ISRO STATUS Sanjib K Deb , D K Sankhala, C M Kishtawal Atmospheric and Oceanic Sciences Group Space Applications Centre Indian Space Research Organization Ahmedabad-380015, India E-mail: [email protected]
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RETRIEVAL AND APPLICATIONS OF
ATMOSPHERIC MOTION VECTORS
USING INSAT-3D/3DR DATA : ISRO
STATUS
Sanjib K Deb, D K Sankhala, C M Kishtawal
Atmospheric and Oceanic Sciences Group Space Applications Centre
Indian Space Research Organization Ahmedabad-380015, India
Period: 18 Oct 2016 - 31 Oct2016 Total sample: 56 Sets Type: Infrared AMVs (TIR1)
3D 3DR Staggering
In the mid and low-level staggering AMVs are more accurate with higher numbers of retrievals
3.9
4.1
4.3
4.5
4.7
4.9
5.1
3.6
3.8
4
4.2
4.4
4.6
3 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8
RM
SVD
R
MSV
D
RM
SVD
High Level (100 – 400 hPa)
Low Level (701 – 950 hPa)
Mid Level (401 – 700 hPa)
Validation of TIR-1 AMV with respect to NCEP analysis QI > 0.8
-1
-0.5
0
0.5
1
1.5
-1.2
-0.2
0.8
1.8
0.5
1
1.5
2
2.5
BIA
S B
IAS
BIA
S
High Level (100 – 400 hPa)
Low Level (701 – 950 hPa)
Mid Level (401 – 700 hPa)
Validation of TIR-1 AMV with respect to NCEP analysis QI > 0.8
4
4.5
5
5.5
6
3.7
4.2
4.7
5.2
5.7
3.3
3.5
3.7
3.9
4.1
4.3
4.5
4.7
RM
SVD
R
MSV
D
RM
SVD
High Level (100 – 400 hPa)
Low Level (701 – 950 hPa)
Mid Level (401 – 700 hPa)
Validation of TIR-1 AMV with respect to Radiosonde data QI > 0.8
-1
-0.5
0
0.5
1
1.5
-2.2
-1.2
-0.2
0.8
1.8
-1.5
-1
-0.5
0
0.5
1
1.5
2
BIA
S B
IAS
BIA
S
High Level (100 – 400 hPa)
Low Level (701 – 950 hPa)
Mid Level (401 – 700 hPa)
Validation of TIR-1 AMV with respect to Radiosonde data QI > 0.8
-0.2
0
0.2
0.4
0.6
4.8
5
5.2
5.4
-1 -0.6 -0.2 0.2 0.6
1 1.4
4.3
4.8
5.3
5.8
6.3 Water Vapor with respect to Radiosonde
BIA
S B
IAS
RM
SVD
R
MSV
D
Validation of WV AMVs with respect to NCEP analysis QI > 0.8
2.5
3
3.5
4
-0.4
-0.2
0
0.2
2.5
2.9
3.3
3.7
4.1
-0.5
-0.3
-0.1
0.1
0.3
BIA
S B
IAS
RM
SVD
R
MSV
D
Validation of MIR (3.9µ) AMV with respect to NCEP analysis
Validation of Visible AMV with respect to NCEP analysis
QI > 0.8
QI > 0.65
FEB - 2018 MAR - 2018 High Level (100 – 400 hPa)
Mid Level (401 – 700 hPa) FEB - 2018 MAR - 2018
TIR-1 Spatial Variation
FEB - 2018 MAR - 2018 Low Level (701 – 950 hPa)
FEB - 2018 MAR - 2018
TIR-1 Spatial Variation
Vertical Plot
FEB - 2018 MAR - 2018 High Level (100 – 400 hPa)
FEB - 2018 MAR - 2018 Water Vapor Vertical Plot
FEB - 2018 MAR - 2018 Low Level (701 – 950 hPa)
FEB - 2018 MAR - 2018 Mid - IR
FEB - 2018 MAR - 2018 Low Level (701 – 950 hPa)
FEB - 2018 MAR - 2018 Visible
MAR - 2018
High Level (100 – 400 hPa)
Low Level (701 – 950 hPa)
TIR-1 AMV Mid Level (401 – 700 hPa)
https://nwpsaf.eu/monitoring/AMV
MAR - 2018
High Level (100 – 400 hPa)
Water Vapor AMV
https://nwpsaf.eu/monitoring/AMV
MAR - 2018
Low Level (701 – 950 hPa)
Visible AMV
https://nwpsaf.eu/monitoring/AMV
INSAT-3DR AMVs used for Assimilation
Model : WRF Assimilation technique: 3DVAR StartTime: 00 UTC 10 Dec 2016 Winds used: 5000 winds (appx) Int. time : 66 Hours
11
12
13
14
15
16
17
79 81 83 85 87
Lat
itu
de
(Deg
ree
N)
Longitude ( Degree E)
JTWC
CNT
INSAT-3DR
INSAT-3D
Vardha Cyclone: 10-12 Dec 2016
CNT INSAT-3R
Track forecast improved after INSAT-3DR AMV Assimilation
Model :WRF Assimilation technique: 4DVAR Time : 06 UTC 19 Oct 2016 AMV used : 50000 winds (approx) for staggering 25000 winds for individual 3D/3DR Integration time : 72 Hours
Assimilation of INSAT 3D/3DR staggering AMVs
72 hrs wind speed forecast has improved after assimilation of staggering AMVs