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Alexandros P. Georgiadis & Helen E. Brindley

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. Aims/Approach.

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Alexandros P. Georgiadis & Helen E. Brindley

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  1. 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

  2. Aims/Approach Assessing the Radiative Impact of anthropogenic pollution aerosol on the TOA radiation budget Approach: Satellite derived: τ& reflectedSWF (R) Conversion SWL↑ brdbnd Rad. / mult. CHN IMG Scene Identification procedure (CERES / MODIS Christopher and Zhang , 2004) (CERES / VIRS Loeb and Kato, 2002 ) GERB HR products 15 mins 10 x 10 km Present Study: Similar approach brdbnd Rad. mult. CHN IMG : GERB 15 mins 50 x 50 km reflectedSWL narrow 2 bdbnd τ 1 .6 τ 0 .8 τ 0 .6 : SEVIRI- 12 Chn 15 mins 3X3 Km Scene Identification procedure

  3. Objectives (11/2009) D3.2.1 : ‘Maps of Geostationary Earth Radiation Budget (GERB) aerosol scene identification available on the ADIENT website’ D3.2.2 : ‘New aerosol anisotropy factors (R) for anthropogenic aerosol through combined analysis of aircraft /satellite observations’

  4. Work thus far D3.2.1 : ‘Maps of Geostationary Earth Radiation Budget (GERB) aerosol scene identification available on the ADIENT website’ α) Maps of : i. GERB HR τ1.6, τ0.8andτ0.6 ii. α = f (τ1.6, τ0.6) & α = f (τ0.8, τ0.6) iii. GERB HR SWL and SWF iv. R = f (SWL, SWF) FLT DATE TAKEOFF LANDING PROJECT b333 12/13/07 10:45 15:45 ADIENT b334 12/18/07 11:00 16:00 VISURB b335 12/19/07 11:00 16:00 ADIENT b355 04/02/08 12:00 16:00 ADIENT b356 04/10/08 10:00 16:00 ADIENT b357 04/16/08 10:45 18:30 ADIENT b401 09/18/08 14:00 18:00 ADIENT b402 09/19/08 10:00 15:00 ADIENT b404 09/23/08 10:00 15:00 ADIENT b406 09/25/08 10:00 15:30 ADIENT β) Compile and plot data-series of the above data along the track of each flight

  5. B356 15:26 12:56 12:26 12:11 11:56 11:41 11:11 10:56

  6. 12:26 12:11

  7. 12:26

  8. B355 04/2008 B356 04/2008 B357 04/2008 B402 09/2008

  9. B355 04/2008 B356 04/2008 B357 04/2008 B402 09/2008

  10. Future Work D3.2.2 : ‘New aerosol anisotropy factors (R) for anthropogenic aerosol through combined analysis of aircraft /satellite observations’ • SWL↑ SWF Conversion There is no specific aerosol treatment in the GERB processing chain. • Implementation of R effect in the GERB conversion chain i. CERES correction code (Brindley and Russell, 2008) ii. Empirical ADMs = f(Vwind, geometry, τ, n) (Zhang and Christopher, 2005) iii. Develop Theoretical ADMs similar to the ones by Brindley and Russell (2008) using the aerosol properties from the FAAM flights.

  11. References : 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. 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. 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 Earth’s Radiant Energy System (CERES) satellite instrument. J. Climate,15, 1474-1484.

  12. Earth Imaging Principle IR 8.7 VIS 0.8 VIS 0.6

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