prior information supported aerosol optical depth ... · prior information supported aerosol...

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Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei 1,5 , Yong Xue 1,2 , Ying Wang 1,5 ,Tingting Hou 3,5 , Jie Guang 1 , Yingjie Li 1,5 ,Hui Xu 1,5 , Leiku Yang 4 , Xinwei He 1,5 , Jing Dong 1, 5 , Ziqiang Chen 3, 5 1 State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2 Facultyof Computing, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK 3 Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China 4 School of Geography, Beijing Normal University, Beijing, China 5 Graduate University of the Chinese Academy of Sciences, Beijing 100039, China

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Page 1: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Prior Information Supported Aerosol

Optical Depth Retrieval Using

Geostationary Satellite Data

Linlu Mei1,5, Yong Xue1,2, Ying Wang1,5,Tingting Hou3,5 , Jie Guang1, Yingjie Li1,5,Hui Xu1,5, Leiku

Yang4, Xinwei He1,5, Jing Dong1, 5, Ziqiang Chen3, 5

1State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote

Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of

Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China2Facultyof Computing, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK

3Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, No.9 Dengzhuang

South Road, Haidian District, Beijing 100094, China 4School of Geography, Beijing Normal University, Beijing, China

5Graduate University of the Chinese Academy of Sciences, Beijing 100039, China

Page 2: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Introduction

AOD Retrieval from FengYun-2 Data

Models

Dataset

Result and Validation

AOD Retrieval from Meteosat Second Generation

(MSG) Data

Models

Dataset

Result and Validation

Conclusion

Content

Page 3: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Introduction

Aerosol optical depth (AOD) retrieval algorithms have been

established over land for different sensors, most retrievals are

limited to twice per day

High-frequency aerosol products are eagerly needed ranged from

research to people’s everyday life

The mainly problem for the traditional generational geostationary is

the band setting problem

Just one visible band

Temporary composite method is widely used for traditional geostationary

satellites.

Page 4: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Introduction

Meteosat Second Generation (MSG) satellites carry an impressive

pair of instruments, the Spinning Enhanced Visible and InfraRed

Imager (SEVIRI)

12 spectral channels

with a resolution of 3km at the sub-satellite point

Temporary scale is 15 minutes.

Multi-spectral as well as high-temporary data is useful for aerosol

retrieval modeling

Page 5: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Introduction

FY-2D

Launched: December 8, 2006

Temporal scale: 1 hour

Resolution : 1.25km for Vis and 5km for other bands

Channel Centre wavelength(μm) Spectral Band(μm)

IR 10.8 10.3-11.3

IR 12.0 11.5-12.5

IR 6.95 6.3-7.6

MIR 3.75 3.5-4.0

VIS 0.72 0.55-0.90

Page 6: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Models

Convert reflectance

DN-ρTOA

14 days 2nd darkest

reflectance composite

ρTOA-ρc

Convert composite

reflectance to true

reflectance

ρc-ρ

Look Up Table

θs 0˚-70˚,5˚

θv 0˚-70˚,5˚

φ 0˚-180˚,10˚ρ 0-1, 0.1

τ

The surface reflectance in different time

is gradual change and relative

TOA reflectance increase

with aerosol load

Page 7: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Dataset - Satellite

Date : 2 -15 November 2008

Range: 30˚N - 42˚N and 110˚E - 123˚E

Resolution: 5km

FY-2D

00:30UTC 02:30UTC 03:30UTC

04:30UTC 05:30UTC 06:30UTC 07:30UTC

01:30UTC

Page 8: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Dataset – Ground Measurements

AERONET sun photometers

Validation

2

0 1 2( ) ( )aln a a ln a ln

Quadratically interpolated

Page 9: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Result and Validation

YICB = 0.0688X + 0.1012

R2 = 0.4403

YCB = 0.2307X - 0.148

R2 = 0.0533

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0 0.2 0.4 0.6 0.8 1

AERONET AOD

CB

/IC

B A

OD CB

ICB

ICB Fit line

CB Fit line

Composite

Background

Improved Composite

Background

Compare

between CB

and ICB

Page 10: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Result and Validation

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0

Time

AO

D

CB

ICB

AERONET

Beijing

\

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0

Time

AO

D

BC

IBC

AERONET

Xianghe

Time serial of retrieval AOD on

Nov, 15th, 2008 over Beijing site,

using ICB/CB method and

AERONET

Time serial of retrieval AOD on

Nov, 15th, 2008 over Xianghe

site, using ICB/CB method and

AERONET

Page 11: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

MSG AOD Retrieval

MSG-2Channel Centre wavelength(μm) Spectral Band(μm)

HRV 0.75 0.6-0.9

VIS0.6 0.635 0.56-0.71

VIS0.8 0.81 0.74-0.88

IR1.6 1.64 1.50-1.78

IR3.9 3.92 3.48-4.36

IR8.7 8.70 8.30-9.10

IR10.8 10.80 9.80-11.80

IR12.0 12.00 11.00-13.00

IR6.2 6.25 5.35-7.15

IR7.3 7.35 6.85-7.85

IR9.7 9.66 9.38-9.94

IR13.4 13.40 12.40-14.40

Page 12: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Models

Land-Atmosphere (Mei et al., 2011)

A prior knowledge (Multi-Channel)

Land model (Multi-Temporary)

Inputs: 3 scans/2 bands

(Flowerdew et al., 1995)

(Angstrom et al., 1961)

Govarert et al., 2010

Other constrains:

Aerosol Type

Reflectance Kim et al., 2008

Single Scattering Albedo

Asymmetry factor

Page 13: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Result and Validation

DDV DeepBlue

MSG Result

Page 14: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Result and Validation

Relationships between TS AOD and AERONET AOD of different wavelengths

with a resolution of 10 km in the Africa area: Left 0.8µm, Right 0.6µm. The

dashed (blue), dashed (black) and solid lines are the error tolerance interval, the

1-1 line and the linear regression of the pre-sorted scatter plot, retrospectively.

Text at the top describes: the number of collocation (Count), the regression

curve, correlation (R), and the RMS error of the fit.

Page 15: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

• An improved prior information supported AOD retrieval method

based on LUT using one visible band was presented in this paper .

However, some problems can easily be found for FY-2D aerosol

retrieval, e.g., low radiation resolution and broad band.

• MSG provide data with multi-spectral and high-temporary, which

is quite useful for aerosol properties retrieval. An novel approach

was presented for MSG aerosol retrieval and we find that >65% of

MSG-retrieved AOD values compare to AERONET observed

values with an expected error envelope of , with high

correlation (R>0.86).

• Aerosol types choosing and validation is on going.

Conclusion

Page 16: Prior Information Supported Aerosol Optical Depth ... · Prior Information Supported Aerosol Optical Depth Retrieval Using Geostationary Satellite Data Linlu Mei1,5, Yong Xue1,2,

Linlu MeiTel: (010) 64889540

Mobile: 15101049541

Email: [email protected]

http://www.tgp.ac.cn Professor Yong XueEmail: [email protected]