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ADIENT WP3.2 ADIENT WP3.2 Observational determination of the impact of anthropogenic pollution aerosol on the TOA radiation budget and its sensitivity to the aerosol properties Alexandros P. Georgiadis & Helen E. Brindley
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Aims/Approach Assessing the Radiative Impact of anthropogenic pollution aerosol on the TOA radiation budget τ SWF Satellite derived: τ & reflected SWF brdbnd Rad. / mult. CHN IMG SWL SWL (CERES / MODIS Christopher and Zhang, 2004 ) (CERES / VIRS Loeb and Kato, 2002 ) Conversion Scene Identification procedure Approach: Present Study: Similar approach brdbnd Rad. mult. CHN IMG : GERB 15 mins 50 x 50 km : SEVIRI - 12 Chn 15 mins 3X3 Km GERB HR products 15 mins 10 x 10 km Scene Identification procedure SWL reflected SWL τ 1.6 τ 0.8 τ 0.6 narrow 2 bdbnd (R)
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Objectives Objectives (11/2009) D3.2.1 D3.2.1 : Maps of Geostationary Earth Radiation Budget (GERB) aerosol scene identification available on the ADIENT website D3.2.2 D3.2.2 : New aerosol anisotropy factors (R) for anthropogenic aerosol through combined analysis of aircraft /satellite observations
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α) Maps of : i. GERB HR τ 1.6, τ 0.8 and τ 0.6 ii. α = f (τ 1.6, τ 0.6 ) & α = f (τ 0.8, τ 0.6 ) iii. GERB HR SWL and SWF iv. R = f (SWL, SWF) D3.2.1 D3.2.1 : Maps of Geostationary Earth Radiation Budget (GERB) aerosol scene identification available on the ADIENT website Work thus far β) Compile and plot data-series of the above data along the track of each flight FLTDATETAKEOFFLANDINGPROJECT b33312/13/0710:4515:45ADIENT b33412/18/0711:0016:00VISURB b33512/19/0711:0016:00ADIENT b35504/02/0812:0016:00ADIENT b35604/10/0810:0016:00ADIENT b35704/16/0810:4518:30ADIENT b40109/18/0814:0018:00ADIENT b40209/19/0810:0015:00ADIENT b40409/23/0810:0015:00ADIENT b40609/25/0810:0015:30ADIENT
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B356 10:56 11:11 11:41 11:56 12:11 12:26 12:56 15:26
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12:11 12:26
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B35504/2008B35604/2008 B35704/2008 B40209/2008
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B35604/2008B35504/2008B35704/2008 B40209/2008
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Future Work D3.2.2 D3.2.2 : New aerosol anisotropy factors (R) for anthropogenic aerosol through combined analysis of aircraft /satellite observationsSWF SWL SWL Conversion There is no specific aerosol treatment in the GERB processing chain. i. CERES correction code ( Brindley and Russell, 2008 ) ii. Empirical ADMs = f(V wind, geometry, τ, n) ( Zhang and Christopher, 2005 ) Implementation of R effect in the GERB conversion chain Implementation of R effect in the GERB conversion chain iii. Develop Theoretical ADMs similar to the ones by Brindley and Russell (2008) using the aerosol properties from the FAAM flights.
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References : Brindley, H.E. and J.E. Russell, 2008: Assessing the Errors in shortwave radiative fluxes inferred from the Geostationary Earth Radiation Budget (GERB) Instrument in the Presence of Dust Aerosol. J. Appl. Meteor., 47, 1659-1680. Brindley, H.E. and A. Ignatov, 2006: Retrieval of mineral aerosol optical depth and size information from Meteosat Second Generation SEVIRI solar reflectances bands. Remote Sens. Environ., 102, 344-363. Christopher, S.A. and J. Zhang, 2004: Cloud free shortwave aerosol radiative effect over oceans: Strategies for identifying anthropogenic forcing from Terra satellite measurements. Geophys. Res. Lett., 31, L18101. Loeb, N.G. and S. Kato, 2002: Top-of-Atmosphere Direct Radiative Effect of aerosols over the Tropical Oceans from the Clouds and the Earths Radiant Energy System (CERES) satellite instrument. J. Climate, 15, 1474-1484.
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VIS 0.6VIS 0.8 IR 8.7 Earth Imaging Principle
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