SEOM s Sentinel-3/OLCI project CAWA: advanced GRASP aerosol retrieval
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1 SEOM s Sentinel-3/OLC project CAWA: advanced GRASP aerosol retrieval Oleg Dubovik1, Pavel Litvinov1, Xin Huang1, Michael Aspetsberger2, David Fuertes3, Carsten Brockmann4, And Jürgen Fischer5. 1- University of Lille-1, CNRS, France; 2- Catalysts GmbH, High Performance Computing, Linz, Austria; 3- GRASP-SAS, Lille, France; 4- Brockmann-Consult GmbH, Geesthacht, Germany; 5- Free University Berlin,, Berlin, Germany; GRASP
2 MERS: - radiances at seven wavelengths: (413, 443, 490, 510, 560, 665, and 870 nm); - single view AEROSOL: - size distribution (5 or more bins); - spectral index of refraction (7 l); - sphericity; SRFACE: - BRDF (3 spectrally dependent parameters); 41 = (5 (SD) +14 (ref. ind.) + 1 (nonsp.) + 21 (BRDF) )
3 GRASP specifics: nversion scheme: GRASP search in continues space of solution for many parameters (aerosol + surface) ; optimization as Multi-term LSM; adapted for synergy of observations: multi-pixel retrieval; single fitting procedure ; no solution modifications (no averaging, etc.) all parameters (43) are retrieved simultaneously at original resolution of (~6 km) ; no location specific assumptions (except land/water/snow); all a priori constraints general for all pixels (~6 km); singe initial guess;
4 Time-Variability Constraints The concept of multi-pixel retrieval ( t 3 ; x ; y ) t ( t 2 ; x ; y ) z X ( t 1 ; x ; y ) x X X-Variability Constraints
5 Multi-term LSM Multi-Pixel Solution: W x = S x T S x ; W y = S y T S y ; W t = S t T S t ; a v a n a n a h a sph a Vc a brdf,1 g D,1 W 1 0 g D,2 W g D,3 W g D W = 0 g D,4 W 4 0 g D,5 W g D,6 W 6 0 g D,7 W 7 ø S T y S y = d11 d12 d13 d21 d22 d23 d31 d32 d33 ø d11 d12 d13 d21 d22 d23 ø d31 d32 d33 ø ø ø d11 d12 d13 d21 d22 d23 ø d31 d32 d33 ø ø ø ; ø a brdf,2 a brdf,3 a bpdf ø 43 parameters S T y S y = d11 d12 d13 d21 d22 d23 d31 d32 d33 ø d11 d12 d13 d21 d22 d23 ø d31 d32 d33 ø ø ø d11 d12 d13 d21 d22 d23 ø d31 d32 d33 ø ø ø ; S T t S t = ø d d d11 d d d21 d d d31 ø ø ø d d d12 d d d22 d d d32 ø ø ø d d d13 d d d23 d d d33 ø ø ø. ø
6 The concept MERS/GRASP retrieval works good with synthetic measurements AOD SSA Smoke Dust
7 GRASP/MERS: AOD(560 nm), January March 2008 GRASP is somewhat slow compared to conventional retrievals, but easily mitigated using advanced T technology such as GPGPU First results: Aerosol, 35 km resolution No assumptions!!! ESA CAWA project
8 GRASP/MERS: AOD(560 nm), January - March 2008 Retrieves both: surface (over land) and detailed aerosol properties No assumptions!!! First results: Surface reflectance, 35 km resolution ESA CAWA project
9 MERS Surface Reflectance over Africa and Mediterranean Region in 2008
10 Animation of SALB retrieval from PARASOL over Africa and Mediterranean Region in 2008 Monthly averages MODS (AQUA + TERRA) MERS
11 Animation of AOT retrieval from PARASOL over Africa and Mediterranean Region in 2008 Monthly averages MERS PARASOL
12 Surface Albedo (670 nm) Africa, October 2008 MERS PARASOL MODS-TERRA
13 Surface Reflectance (660 nm) Bodélé Depression 30/03/2008 MERS MODS/Terra MODS/Aqua PARASOL MERS vs. Terra Terra vs. Aqua Aqua vs. PARASOL MERS vs. PARASOL
14 Surface Reflectance (660 nm) Mediterranean 25/08/2008 MERS MODS/Terra MODS/Aqua PARASOL MERS vs. Terra Terra vs. Aqua Aqua vs. PARASOL MERS vs. PARASOL
15 BRDF model Ross-Li (Ross, (1981); Li, X., Strahler (1992)): BRDF Ross-Li = a iso (l) (1+ a vol f vol + a geom f geom ) sotropic term: Volumetric term: Geometric term:
16 MODS - PARASOL MODS - MERS Surface Parameters Bodélé Depression 30/03/2008 Lambertian Component Volumetric Component Geometric Component
17 Animation of AOT retrieval from PARASOL over Africa and Mediterranean Region in 2008 Monthly averages MERS Processed at 10 km PARASOL Processed at 6 km
18 Animation of AOT retrieval from PARASOL over Africa and Mediterranean Region in 2008 Monthly averages MODS MERS Processed at 10 km
19 AOT (550 nm) Africa, October 2008 Processed at 10 km Processed at 6 km MERS PARASOL MODS-TERRA
20 AOT (550 nm) Africa, November 2008 Processed at 10 km Processed at 6 km MERS PARASOL MODS-TERRA
21 AOT (550 nm) Mediterranean 30/03/2008 MERS MODS/Terra MODS/Aqua PARASOL MERS vs. Terra Terra vs. Aqua Aqua vs. PARASOL MERS vs. PARASOL
22 MERS validation in ESA aerosol CC project MERS ESA standard aerosol product over land (with CC aerosol model)
23 GRASP/ MERS (January - Маrch 2008, 10 km resolution) No assumptions!!! AOT(440)
24 MERS PARASOL Crete 06/ /2008 (1) AOD (440) AOD (670) AOD (870) Angstrom (670/870) Angstrom 440/870)
25 MERS PARASOL Mongu 06/ /2008 (1) Angstrom (670/870) Angstrom (440/870) AOD (440) AOD (670) AOD (870)
26 MERS PARASOL Mongu 06/ /2008 (2) SSA (440) SSA (670) SSA (870) RE_MAG (440) RE_MAG (670) RE_MAG (870)
27 MERS PARASOL Mongu 06/ /2008 (3)
28 GRASP/ MERS land/water (January - Маrch 2008, 10 km resolution) АОТ(670 nm) Dakar AERONET validation ESA CAWA project
29 MERS PARASOL Dakar 03/ /2008 (1) AOD (440) AOD (670) AOD (870) Angstrom (670/870) Angstrom (440/870)
30 MERS PARASOL Dakar 03/ /2008 (2) SSA (440) SSA (670) SSA (870) RE_MAG (440) RE_MAG (670) RE_MAG (870)
31 MERS PARASOL Dakar 03/ /2008 (3)
32 MERS PARASOL Banizoumbou 01/ /2008 (1)
33 Banizoumbou 01/ /2008 (2) SSA (440) SSA (670) SSA (870) RE_MAG (440) RE_MAG (670) RE_MAG (870)
34 Banizoumbou 01/ /2008 (3)
35 GRASP concept: Conclusions: - retrieving many characteristics simultaneously (aerosol + surface); - statistically optimized multi-pixel inversion; - etc. First results are promising for MERS: - reliable AOD and Angstrom, - promising for SSA (dark surfaces, bright-???); - main issue cloud mask Promising alternative retrieval approach for S-3 : - OLC - OLC + SLSTR; - OLC + SLSTR + etc.
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