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A global 3-D model analysis using MODIS, MISR, CALIPSO, and AERONET observations David A. Ridley, Colette L. Heald We gratefully acknowledge the MODIS.

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Presentation on theme: "A global 3-D model analysis using MODIS, MISR, CALIPSO, and AERONET observations David A. Ridley, Colette L. Heald We gratefully acknowledge the MODIS."— Presentation transcript:

1 A global 3-D model analysis using MODIS, MISR, CALIPSO, and AERONET observations David A. Ridley, Colette L. Heald We gratefully acknowledge the MODIS team for the data supplied via the NASA Goddard website, and especially Jingfeng Huang for his help, the CALIPSO team for the retrievals used, all the PIs for the AERONET sites we used from across the world, and Joe Prospero for his dust concentration data. (Ridley et al., in prep.)

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3  AOD decreased by 10-20%  Due to size dependence of scattering  NB no change in total dust mass Original uniform mass partitioning New dust mass partitioning

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6  Seasonality in vertical distribution reproduced well  Missing aerosol close to ocean surface – dust and marine? Marine aerosol? (cf Kateryna Lapina)

7  Annual westward export 235±45Tg (240±80Tg from MODIS 1 )  Deposition to Atlantic is slightly higher than other studies 1,2,3,4  Deposition to the Amazon is lower than observed 1,5 1 Kaufman et al., 2005 2 Ginoux et al., 2004 3 Prospero et al., 1996 4 Fan et al., 2004 5 Mahowald et al., 2005 Tg

8  Annual westward export 235±45Tg (240±80Tg from MODIS 1 )  Deposition to Atlantic is slightly higher than other studies 1,2,3,4  Deposition to the Amazon is lower than observed 1,5 1 Kaufman et al., 2005 2 Ginoux et al., 2004 3 Prospero et al., 1996 4 Fan et al., 2004 5 Mahowald et al., 2005

9  Seasonality and source regions of dust well reproduced  Vertical distribution agrees well with CALIPSO observations  Dust concentrations in Caribbean correlate well with observations (R=0.7-0.9)  GEOS-Chem shows greater inter-annual variability than obs  Emissions from Bodele Depression are under represented  Dust deposition to Amazon lower than expected Positives Not-so Positives


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