References and Notes


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3. Since July, 1989, weekly oceanic aerosol data are available with a spatial resolution of about 100 km. N. C. R. Rao, E. P. McClain, L. L. Stowe, Int. J. Remote Sens. 10, 743-749 (1989).

4. K. Pye, Aeolian Dust and Dust Deposits (Academic Press, London, 1987).

5. J. S. Levine Ed., Global Biomass Burning: Atmospheric, Climatic, and Biospheric Implications (The MIT Press, Cambridge, London, 1991).

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13. R. J. Charlson et al., Science. 255, 423-430 (1992); J. T. Kiehl and B. P. Briegleb, ibid. 260 311-314 (1993); S. H. Schneider, ibid. 263, 341-347 (1994).

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15. R. B. Husar and W. E. Wilson, Env. Sci. Technol. 27, 12-16 (1993).

16. The aerosol data after June, 1991 were severely influenced by the Mt. Pinatubo volcanic eruption. During the pre-Pinatubo period the stratosphere was unusually clean and the backscattering signal was dominated by the tropospheric aerosol.

17. For optically thin aerosol layers the backscattering has been shown to be proportional to the vertical optical depth (3). However, the proportionality constant depends on the aerosol angular scattering function, which in turn depends on size distribution and chemical composition The aerosol retrieval algorithm assumes a fixed size distribution (phase function) and ocean reflectance around the world, but it incorporates the angular dependence of air scattering. (3). When further aerosol phase function and/or spectral extinction data will be available for the different aerosol types and regions, the data can be converted to true optical depth, vertical mass loading, etc.

18. W. F. McDonald, Atlas of Climatic Charts of the Oceans (USDA Weather Bureau, Washington, D.C., 1938), pp 60.

19. The satellite sensor used measures the backscattered and reflected solar radiation from the sea, air, clouds, and aerosols at about 0.63 m wavelength and scattering angle ranging between 120 and 160 degrees. This single parameter is inherently insufficient to reveal the highly variable aerosol size distribution and optical properties.

20. The reflected signal is influenced by at least six, largely independent processes: (a) reflectance of water and impurities; (b) the bright foam from breaking waves in "whitecaps"; (c) cloud backscattering, (d) molecular scattering from air, (e) molecular absorption by ozone, water and other gases, and (f) aerosol backscattering. The latter aerosol signal is derived by subtracting the first four contributions from the measured total. With the exception of molecular scattering, the magnitude and spatial-temporal pattern of the interferences are not well quantified. Cloud reflectance is white over much of the spectrum, while aerosol backscattering is much stronger in the visible than over the near and far infrared. This difference allows the identification and spatial filtering of cloud patches from aerosols. The uneven reflectivity of land surfaces prevent the use of this aerosol detection scheme over continental areas.

21. The current satellite aerosol sensors are not equipped with inflight calibration devices and calibration requires tedious and error-prone surface-based approaches. Substantial further inconsistencies arise when the sensors are replaced. Y. J. Kaufman and B. N. Holben, Int. J. Remote Sens. 14, 21-52 (1993).

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23. M. O. Andreae, EOS, Trans., Amer. Geophys. Union 74, 129-135 (1993).

24. J. M. Brustet et al., in Global Biomass Burning J.S. Levine, Ed., (The MIT Press, Cambridge, London, 1991), pp. 47-52.

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27. M. Uematsu et al., J. Geophys. Res. 88, 5343-5352 (1983).

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29. D. R. Cahoon et al., in Global Biomass Burning Levine J.S. Ed., (The MIT Press, Cambridge, London, 1991), pp. 61-66.

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32. E. C. Flowers, R. A. McCormick, K. R. Kurfis, J. Appl. Met. 8, 955-962 (1969); R. B. Husar, J. M. Holloway, D. E. Patterson, W. E. Wilson, Atmos. Environ. 15, 1919-1928 (1981).

33. P. G. Falkowski et al., Science, 256, 1311-1313 (1992).

34. T. S. Bates, B. K. Lamb, A. Guenther, J. Dignon, R. E. Stoiber, J. Atmos. Chem. 14, 315-337(1992).

35. M. P. McCormick, SAM II measurements of the polar stratospheric aerosol, Volume 1, October 1978--April 1979 (NASA Reference Publication 1081, 1981).

36. The aerosols and their gaseous precursors have been monitored at Amsterdam Islands for years. N. Mihalopoulos, J. P. Putaud, B. C. Nguyen, Atmos. Environ. 27, 2069-2073 (1993).

37. T. S. Bates et al., J. Atmos. Chem. 10, 59-81 (1990).

38. This extraordinary variation is caused by: (1) different source types, e.g. windblown dust, biomass burning, marine aerosols, industrial haze etc.; (2) each aerosol type has a distinct chemical composition, size distribution as well as optical and radiative properties; (3) tropospheric aerosols also have a short residence time (order of a week) which restricts their influence to well defined regions, with numerous factors influencing their atmospheric life history.

39. The most commonly measured aerosol variables are light scattering coefficient, vertical optical depth, mass concentration and chemical composition in several size classes.

40. The measured data supplied by data providers seldom match the needs of data users. For example, research on climate effects requires vertically integrated backscattering and absorption while the measured variable may be aerosol mass concentration at the earth surface. Biogeochemical and acid deposition studies, on the other hand, need deposition rates that are difficult to estimate from remotely sensed optical data. The translation from the available to the needed variables is a major source of uncertainty and it is a an impediment to the effective diffusion and use of data.

41. M. D. King, Y. J. Kaufman, W. P Menzel, and D. Tanre, IEEE Trans. Geosci. and Remote Sensing 30, 2-27 (1992).

< a name=42>42. L. L. Stowe, R. Hitzenberger, A. Deepak, Report on Experts Meeting on Space Observations of Tropospheric Aerosols and Complementary Measurements, WCRP-48, WMO/TD-No. 389 (World Meteorological Organization, 1990).

43. R. B. Husar, L. L. Stowe, A. Deepak, Report of the Meeting of Experts on Global Aerosol Data System (GADS), Global Atmosphere Watch, No. 73, WMO/TD-No.438, (World Meteorological Organization, 1992). GADS is being implemented through the Global Aerosol Information Network (GAIN). As an illustration of GAIN, the electronic version of this paper, the data sets, figures, animations and software tools are accessible via Internet through FTP, gain@capita.wustl.edu or WWW Mosaic httl://capita.wustl.edu/gain/oceanaer/oceanaer.http

44. We thank Craig Long for providing the aerosol data files and Attila P. Husar for preparing contour maps. This research was partially supported by the NOAA grant #NA 16RC0517.


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