Upload
brendon-iverson
View
216
Download
0
Tags:
Embed Size (px)
Citation preview
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
1 of 26July 19-21, 2010
6th Aquarius/SAC-D Science Meeting
19-21 July 2010Seattle, Washington, USA
MWR L2 Retrieval Algorithms
Sergio MasuelliCarolina TauroLinwood Jones
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
2 of 26July 19-21, 2010
Index
1) Introduction
2) L1 to L2 project plan
3) Surface retrievals
4) Atmospheric Retrievals
5) Sea Ice Concentration
6) L2 Simulator
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
3 of 26July 19-21, 2010
Introduction
Objective:
To obtain the Geophysical VariablesWS: Wind Speed
Surface: WD: Wind Direction
IC: Ice Concentration
WV: Water Vapor
Atmosphere: CLW: Cloud Liquid Water
RW: Rain Water
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
4 of 26July 19-21, 2010
Introduction
Horns
AntennasMWR
MWR Scheme
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
5 of 26July 19-21, 2010
Introduction
MWR Acquisition Geometry
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
6 of 26July 19-21, 2010
Introduction
MWR beam overlapping along track
13 km
40 km
L1B1
40 km
L2
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
7 of 26July 19-21, 2010
Introduction
Schematic Microwave Radiative Transfer Model [Thompson, 2004].
Up-welling Brightness
Atmospheric Emission
Surface Emission
Down-welling Brightness
Reflected Atmospheric Brightness
Microwave Antenna
Atmospheric Absorption
Radiative Transfer Model
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
8 of 26July 19-21, 2010
Introduction
TBj F j Pj
Forward problem
Pi Gi TB*i where TB*iP01,…, Pi ,…, P0
N
We have 6 Ps but only 4 TBs
P G TB Inverse problem
Geophysical Variables P: WS, WD, IC, WV, LWC, RW
The Retrieval Problem
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
9 of 26July 19-21, 2010
L1 to L2 project plan
ATBD
Simulators
Depuration of Algorithms
Application Prototype Calibration Prototype
General Scheme of the Development Plan
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
10 of 26July 19-21, 2010
L1 to L2 project plan
Ner Task
2010
1st Quater
2nd Quater
3rd Quater
4th Quater
1 Tools develop for comparative analysis in the basic RTM
2 Review of RTM architecture and modularizing of RTM
3 RTM Documentation (User Manual)
4 Write ATBD, RBD and ADD for all the applications
5 Research on algorithms of Ice Classification
6 ATBD for Ice Classification
7 Program to obtain parameters for Ice Classification
8 Code for the Ice Concentration application
9 Research on algorithms for Wind Speed
10 ATBD for Wind Speed
11 Program to obtain parameters for Wind Speed
12 Code for the Wind Speed application
Schedule of Activities
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
11 of 26July 19-21, 2010
L1 to L2 project plan
Ner Task
2010
1st Quater
2nd Quater
3rd Quater
4th Quater
13 Research on transmisivity for non precipitatives clouds
14 Research on transmisivity for precipitatives clouds
15 ATBD for columnar content of Water Vapor, Cloud Liquid Water and Rain Water
16 Program to obtain parameters for Water Vapor, Cloud Liquid Water and Rain Water
17 Code for the application of Water Vapor, Cloud Liquid Water and Rain Water
18 Updating of general ATBD
19 Develop of operative RTM
20 Integrated Prototype for the Applications
21 Plan of Cal/Val of the Applications
22 Develop of the Operative Retrieval Applications
23 Develop of the Operative External Parameter Extractor
Schedule of Activities (cont.)
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
12 of 26July 19-21, 2010
The RTM
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
13 of 26July 19-21, 2010
Surface retrievals
Insensitive on atmospheric
changes
Wind Retrieval. AVH Algorithm
A(WS,SST,f)TBH
TBV
F0(SST)
(ATBV − TBH ) - F(SST) = C0(WS)+C1(WS)COS(χ)+C2(WS)COS(2χ)
Does C’S
converge?
F(SST) = (ATBV − TBH) − [C0(WS)+C1(WS)COS(χ)+ C2(WS)COS(2χ)]
No
Yes
END
(ATBV − TBH ) - F(SST) - C0(WS)
=C1(WS)COS(χ)+C2(WS)COS(2χ)
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
14 of 26July 19-21, 2010
Surface retrievals
WindSat EDR wind speed
Truth wind speed , m/s
EDR
win
d sp
eed,
m/s
0 5 10 15 200
2
4
6
8
10
12
14
16
18
20"AV-H" wind speed ret.
Truth wind speed, m/s
"AV-
H" w
ind
spee
d, m
/s
0 5 10 15 200
2
4
6
8
10
12
14
16
18
20
ED
R W
ind
Spe
ed, m
/s
AV
H W
ind
Spe
ed, m
/s
Wind Speed CFRSL Preliminary Results (AVH)
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
15 of 26July 19-21, 2010
Surface retrievals
"AV-H" wind direction ret.
Truth wind direction, degree
"AV-
H" w
ind
dire
ctio
n, d
egre
e
0 50 100 150 200 250 300 3500
50
100
150
200
250
300
350
WindSat wind direction ret.
Truth wind direction, degree
Win
dSat
win
d di
rect
ion,
deg
ree
0 50 100 150 200 250 300 3500
50
100
150
200
250
300
350
AV
H W
ind
Dir
ecti
on, d
egre
e
ED
R W
ind
Dir
ecti
on, d
egre
e
Wind Direction CFRSL Preliminary Results (AVH)
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
16 of 26July 19-21, 2010
Surface retrievals
Basic Scheme for Wind Retrieval
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
17 of 26July 19-21, 2010
Atmospheric retrievals
The
Cloud
Problem
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
18 of 26July 19-21, 2010
Atmospheric retrievals
Precipitation and LWC signal (CFRSL)
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
19 of 26July 19-21, 2010
Atmospheric retrievals
Non Precipitative
Cloud
Rainy Cell
Rain and Cloud Analysis
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
20 of 26July 19-21, 2010
Atmospheric retrievals
Basic Scheme for Retrieve Atmospheric Variables
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
21 of 26July 19-21, 2010
Sea Ice Concentration
Bootstrap Algorithm Nasa Team Algorithm
100 % FY ice boundary
100 % MY ice boundary
50% Ice Concboundary
100% Ice Concboundary
100 % FY ice boundary
100 % MY ice boundary
50% Ice Concboundary
100% Ice Concboundary
Sea Ice Algorithms
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
22 of 26July 19-21, 2010
Sea Ice Concentration
WindSat: 19V & 37V GHz
MWR 24V & 37V GHz
Longitude, (deg.)
MWRSimulated
Latit
ude,
(de
g.)
Latit
ude,
(de
g.)
WindSat
First Year Ice Concentration using NT algorithm (CFRSL)
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
23 of 26July 19-21, 2010
Sea Ice Concentration
37
(37) (37)
(37) (37)
V HB B
V HB B
T TPR
T T
24/37
(24) (37)
(24) (37)
H HB B
H HB B
T TGR
T T
CONAE Sea Ice Algorithm
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
24 of 26July 19-21, 2010
Sea Ice Concentration
Obtaining Parameters from a Scatter Plot
6th Aquarius/SAC-D Science MeetingSeattle. L2 Algorithms. S. Masuelli
25 of 26July 19-21, 2010
L2 Simulator
External Data Preparation
GDAS
Internal Data Preparation
RTM
Data Base
IC/WS/WD
END
L2 Processor
It converges?No
Yes
WV/LWC/RW
Data Base
L1B1