aerosol retrieval algorithm for meteosat second generation
DESCRIPTION
Aerosol Retrieval Algorithm for Meteosat Second Generation. Sam Dean, Steven Marsh and Don Grainger. Overview. Introduction Defining aerosol properties Optimal estimation The forward model Results Summary. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
University of Oxford EUMETSAT Satellite Conference 2004
Aerosol Retrieval Algorithm for Meteosat Second Generation
Sam Dean, Steven Marsh and Don Grainger
University of Oxford EUMETSAT Satellite Conference 2004
Overview
• Introduction• Defining aerosol properties• Optimal estimation• The forward model• Results• Summary
University of Oxford EUMETSAT Satellite Conference 2004
Introduction
The University of Oxford has implemented modifications to the Enhanced Cloud Products (ECP) processor which facilitate the retrievals of aerosol optical depth and effective radius.
A surface albedo perturbation is also retrieved.
This code is intended for use on MSG SEVIRI data (Phil Watts)
This talk will discuss the testing of the algorithm on data from ATSR-2
Knowledge of aerosol optical thickness is not only important for climate physics. Operational applications include health warnings and aircraft routing.
University of Oxford EUMETSAT Satellite Conference 2004
Introduction
•MSG SEVIRI:– 0.6 m– 0.8 m– 1.6 m
•ATSR-2:– 0.67 m– 0.87 m– 1.6 m
ATSR-2 is a good test dataset as the channels are comparable
University of Oxford EUMETSAT Satellite Conference 2004
Aerosol Physical Properties
Aerosols distributions are characterised by:
• Concentration (N)
• Size distribution (ref and )
• Shape (spherical)
• Chemical composition (m = mr + imi)
• Vertical profile
University of Oxford EUMETSAT Satellite Conference 2004
Aerosol Optical Properties
0 0
( ) ( ) ( )( )e s adz dz
( )( ) ,
( )s
e
With knowledge of these characteristics, required optical properties may be computed by applying Mie theory:
cos ( , ) (cos )
( ), (cos )
P dg
P d
Main retrieved parameter
University of Oxford EUMETSAT Satellite Conference 2004
Aerosol Model
Aerosol Components
Water-Soluble, Dust-Like, Soot, Sea Salt, Sulphate, Oceanic, Mineral
Clean or Average Continental, Urban, Clean Maritime, Maritime/Polluted, Desert
+ H2O
Aerosol Types
Assumed vertical locations ~ 0-3 km
University of Oxford EUMETSAT Satellite Conference 2004
Aerosol Types
The following nine aerosol types have been defined from the OPAC report:
• Continental Clean• Continental Average• Continental Polluted / Biomass Burning• Desert
• Mineral Transported• Maritime Clean• Maritime Polluted• Arctic• Antarctic
University of Oxford EUMETSAT Satellite Conference 2004
Optimal Estimation
The retrieval method used is Optimal Estimation (OE). The basic
principle of OE is to maximize the probability of the retrieved sate (x) conditional on the value of the measurement and any a priori information.
OE is an iterative process which determines the most likely solution; this is equivalent to determining the state with the minimum value of
cost, J(x).
x= [Optical depth (0.55 μm), Effective radius, Surface albedo]
University of Oxford EUMETSAT Satellite Conference 2004
1
1
( ) ( ( ) ) ( ( ) )
( ) ( )
Tm y m
Tb x b
J x y x y S y x y
x x S x x
Measurement Measurement errorState mapped into measurement space
The Cost Function
State A priori A priori error
The forward model maps the state into measurement space – i.e. calculates y(x)
University of Oxford EUMETSAT Satellite Conference 2004
The Aerosol Forward Model
• 32 DISORT layers are used to describe radiative transfer (MODTRAN provides gaseous absorption contribution. Rayleigh scattering included)
• These layers extend from surface to 100 km in height (US Std Atmos)
Rs
T =1
T=1
0 km
100 km
RT Calculations Forward Model
University of Oxford EUMETSAT Satellite Conference 2004
The Aerosol Forward Model
00
( , ) ( , )( ) ( , , , )
1 ( )B D v s
BD vs FD
T x T x Ry x R x
R R x
Rs
RBD
TB
TBRsTDTBR2
STDRFD
TBRsRFD
TOA reflectance given by infinite sum which can be expressed for state x and viewing geometry (θ0, θν, Ф) as:
F=1
University of Oxford EUMETSAT Satellite Conference 2004
Retrieval of a Scene
University of Oxford EUMETSAT Satellite Conference 2004
Aerosol Optical Depth Feb 1998
University of Oxford EUMETSAT Satellite Conference 2004
Summary
• The ATSR-2 instrument has channels comparable to that of MSG SEVIRI
• A retrieval scheme that retrieves aerosol properties from MSG SEVIRI data has been tested on ATSR-2
• A 32 layer radiative transfer model is used to estimate TOA reflectance for an atmosphere containing aerosol
• Some results for February 1998 have been presented