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Atmospheric Science Conference. SCIAMACHY TOA Reflectance Correction Effects on Aerosol Optical Depth Retrieval. W. Di Nicolantonio, A. Cacciari, S. Scarpanti, G. Ballista, E. Morisi, R. Guzzi. ESA ESRIN Frascati, 8-12 May 2006. ESA ESRIN Frascati, 8 - 12 May 2006. Contents.
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Atmospheric Science Conference SCIAMACHY TOA Reflectance Correction Effects on Aerosol Optical Depth Retrieval W. Di Nicolantonio, A. Cacciari, S. Scarpanti, G. Ballista, E. Morisi, R. Guzzi ESA ESRIN Frascati, 8-12 May 2006
ESA ESRIN Frascati, 8 - 12 May 2006 Contents SCIAMACHY data Processing for Aerosol retrieval Measured Reflectance Correction effects on AOP retrieval Comparison with AERONET measurements Conclusion
SCIAMACHY data Processing for Aerosol retrieval : main Phases and Tools PRE-Processing PROCESSING POST-Processing AEROSOL DB >Spectral Optical Properties >Aerosol Profile DEM DB GTOPO30 ( 0.25º res.) SURFACE ALBEDO DB Spectral monthly MLER from GOME data ( 1º res.) RTM DOWNSTREAM for simulated reflectances INVERSE METHOD 2min.by LMFMfor simulated and measured spectral reflectances on AOD and aerosol class • PIXELSELECTION on • > Cloud Coverage Fraction • (FRESCO SC-v3) <0.05 • > SZA < 70 deg • > | latitude| < 70 deg • > sea OR land pixel ( no coast) • DATA READING • ( based on BEAT library ) • > Earthshine radiance • > Solar Irradiance • > Geolocation • > Observation Geometry • > Acquisition Time • WAVELENGTHS SELECTION • > CRITERIA: Tg(i) > 99.7 % and • i+1 - i > 20 nm • sea set: 364, 387,429, 683,754,775 nm • land set: up to 683 nm QUALITY CHECK Data Filtering on: >2values and >Discrimination Index on aerosol class VALIDATION Spatial Coincidence check on AERONET sites VISUALIZATION Data Format for: >daily/monthly map visualization Aerosol Level-2 Product and selected pixels for AOD Comparison / Validation MEASURED SPECTRAL REFLECTANCES @ selected aerosol wavelengths AOD @ 500 nm AEROSOL CLASS ESA ESRIN Frascati, 8 - 12 May 2006 A S P Data downloading & calibration LEVEL 1B DATA > from KNMI (via SDC link) > from ESA (via ftp or DVD) NADIR Observations Selection &Calibration by SciaL1C from EnviView Level 1-C data
SCIAMACHY data Processing for Aerosol retrieval : Aerosol types in use a & w ESA ESRIN Frascati, 8 - 12 May 2006
SCIAMACHY data Processing for Aerosol retrieval : Aerosol types in use Derivative of aerosol TOA reflectance - in SS approx - with respect to AOD @ 500 nm ESA ESRIN Frascati, 8 - 12 May 2006
Reflectance Correction effects : linear correction for TOA Refl Rscia-corr(la) = Csl(la) Rscia(la)+ Coff(la) ESA ESRIN Frascati, 8 - 12 May 2006 Known SCIAMACHY underestimation for UV and VIS-NIR reflectance by about 10 to 25% and 10 to 20% Tilstra et al. 2005 derived spectral correction factors in the range 240 - 400 nm by comparing SCIAMACHY spectral reflectance and DAK simulated reflectance over different surfaces Under the hypothesis of a linear relation between SCIAMACHY and MERIS reflectances, Acarreta & Stammes 2005 provided a set of correction factors at 442, 510, 665, 708, and 885 nm taking account different underlying surfaces
Reflectance Correction effects : Spectra for clouds free pixels In the NIR, the adopted correction doesn’t introduce a significant variation in the TOA reflectance values, mainly over ocean. This can be due to the hypothesis of linearity assumed also in low reflectance domain (< 0.2) in SCIAMACHY - MERIS refl. comparison ESA ESRIN Frascati, 8 - 12 May 2006 FRESCO ccf = 0 Sep 26, 2004 Sep 26, 2004
Reflectance Correction effects on AOP : Example of daily global retrieval September 15, 2004 ESA ESRIN Frascati, 8 - 12 May 2006 SCIAMACHY AOD @ 500 nm
Reflectance Correction effects on AOP : Example of daily global retrieval September 15, 2004 ESA ESRIN Frascati, 8 - 12 May 2006 SCIAMACHY AOD @ 500 nm
Reflectance Correction effects on AOD : Example of monthly global retrieval September 2004 ESA ESRIN Frascati, 8 - 12 May 2006
Reflectance Correction effects on AOD : Example of seasonal global retrieval Autumn 2004 ESA ESRIN Frascati, 8 - 12 May 2006
Comparison with AERONET measurements: 2003 and 2004 corresponding data 9 AERONET sites AERONET AOD Level 2 data ASP tendency to AOD understimation DAOD = 0.03 0.06 AOD Land : y=0.85 x + 0.07; r= 0.93 Ocean : y=0.24 x + 0.13; r= 0.38 HP: non-linearity effects for small TOA reflectance not considered in the correction factors derivation, introducing a systematic error, resulting in a bias mainly in the retrieval of AOD lower than 0.4 ESA ESRIN Frascati, 8 - 12 May 2006
Reflectance Correction effects on AOP retrieval: retrieval uncertainties Estimates of retrieval uncertainties associated to reflectance correction factors AOD > 0.1 in 50% and 20% aerosol type changed AOD > 0.2 in 10% and 5% aerosol type changed ESA ESRIN Frascati, 8 - 12 May 2006 Csl-min = Csl - Dsl; Coff-min = Coff - Doff Csl-max = Csl + Dsl ; Coff-max = Coff + Doff
ESA ESRIN Frascati, 8 - 12 May 2006 Conclusion • TOA reflectance correction procedure was applied to SCIAMACHY nadir measurements to explore the possibility of obtaining reliable information on tropospheric aerosol retrieval : • Examples of global map of AOD at 500 nm, relative to September, October, and November 2004, display the relatively low aerosol loading over oceanic regions, with AOD < 0.2, and the hot spots in AOD over land, presenting values 0.5, can be clearly identified • SCIAMACHY versus AERONET AOD (2003-2004) result in a good agreement (r = 0.93) in the case of significant aerosol loading over land and a very minor agreement (r = 0.38) for the retrieval over ocean. 1s uncertainty evaluated as DAOD = 0.03 0.06 AOD • On the other hand • Uncertainties in the reflectance correction factors lead to a significant propagated variability in the retrieved AOD of the order of 20% for AOD 1 and up to 90% for AOD 0.1 • Then • Applied correction encourages the adoption of SCIAMACHY sensor for aerosol retrieval and at the same time strengthens the need to use anofficial re-calibrated version of Level 1B data to improve the radiometric accuracy of low reflectance measurements and to increase the accuracy degree of the aerosol retrieval.
ESA ESRIN Frascati, 8-12 May 2006 Atmospheric Science Conference