19-21 july 2010 seattle, washington, usa

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

[email protected]


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


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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


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Introduction

Horns

AntennasMWR

MWR Scheme


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Introduction

MWR Acquisition Geometry


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Introduction

MWR beam overlapping along track

13 km

40 km

L1B1

40 km

L2


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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


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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


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L1 to L2 project plan

ATBD

Simulators

Depuration of Algorithms

Application Prototype Calibration Prototype

General Scheme of the Development Plan


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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


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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.)


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The RTM


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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)


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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)


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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)


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Surface retrievals

Basic Scheme for Wind Retrieval


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Atmospheric retrievals

The

Cloud

Problem


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Precipitation and LWC signal (CFRSL)


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Non Precipitative

Cloud

Rainy Cell

Rain and Cloud Analysis


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Basic Scheme for Retrieve Atmospheric Variables


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Sea Ice Concentration

Bootstrap Algorithm Nasa Team Algorithm

100 % FY ice boundary

100 % MY ice boundary

50% Ice Concboundary


100 % FY ice boundary

100 % MY ice boundary



Sea Ice Algorithms


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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)


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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


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Obtaining Parameters from a Scatter Plot


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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


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Fin


27 of 26July 19-21, 2010

Diagrama de flujo de las aplicaciones MWR

Desarrollo del proyecto

19-21 july 2010 seattle, washington, usa

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