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Anthropogenic aerosols are intricately linked to the climate system and to the hydrologic cycle. The net effect of aerosols is to cool the climate system by reflecting sunlight. Depending on their composition, aerosols can also absorb sunlight in the atmosphere, further cooling the surface but warming the atmosphere in the process. These effects of aerosols on the temperature profile, along with the role of aerosols as cloud condensation nuclei, impact the hydrologic cycle, through changes in cloud cover, cloud properties and precipitation. Unravelling these feedbacks is particularly difficult because aerosols take a multitude of shapes and forms, ranging from desert dust to urban pollution, and because aerosol concentrations vary strongly over time and space. To accurately study aerosol distribution and composition therefore requires continuous observations from satellites, networks of ground-based instruments and dedicated field experiments. Increases in aerosol concentration and changes in their composition, driven by industrialization and an expanding population, may adversely affect the Earths climate and water supply.
uring the last century, the Earths surface temperature increased by 0.6 C, reaching the highest levels in the last millennium1. This rapid temperature change is attributed to a shift of less than 1% (ref. 2) in the energy balance between absorption of incoming solar radiation and emission of thermal radiation from the Earth system. Among the different agents of climate change, anthropogenic greenhouse gases and aerosols have the larger roles1. Whereas greenhouse gases reduce the emission of thermal radiation to space, thereby warming the surface, aerosols mainly reflect and absorb solar radiation (the aerosol direct effect) and modify cloud properties (the aerosol indirect effect), cooling the surface. These impacts on the radiation balance are very different and therefore require different research approaches. Greenhouse gases, such as carbon dioxide and methane, have a lifetime of up to 100 years in the atmosphere and a rather homogeneous distribution around the globe; this is in contrast to the heterogeneous spatial and temporal distribution of tropospheric aerosols, which results from their short lifetime of about a week1,3. As a consequence, the global increase in the CO2 concentration of 12 p.p.m. per year was measured half a century ago using a single ground-based instrument4, while daily satellite observations5,6 and continuous in situ measurements7,8 are needed to observe the emission and transport of dense aerosol plumes downwind of populated and polluted regions (urban haze), regions with vegetation fires (smoke), and deserts (dust). The effect of greenhouse gases on the energy budget occurs everywhere around the globe. Aerosols have both regional and global impacts on the energy budget, requiring frequent global measurements tied to elaborate models that provide realistic representations of the atmospheric aerosols3,9,10. Aerosol effects on climate differ from those of greenhouse gases in two additional ways. Because most aerosols are highly reflective, they raise our planets albedo, thereby cooling the surface and effectively offsetting greenhouse gas warming by anywhere from 25 to 50% (refs 1, 911). However, aerosols containing black graphitic and tarry carbon
particles (present in smoke and urban haze) are dark and therefore strongly absorb incoming sunlight. The effects of this type of aerosol are twofold, both warming the atmosphere and cooling the surface before a redistribution of the energy occurs in the column. During periods of heavy aerosol concentrations over the Indian Ocean12 and Amazon Basin13, for example, measurements revealed that the black carbon aerosol warmed the lowest 24 km of the atmosphere while reducing by 15% the amount of sunlight reaching the surface. Heating the atmosphere and cooling the surface below reduces the atmospheres vertical temperature gradient and therefore is expected to cause a decline in evaporation and cloud formation14,15. The second way in which aerosols differ from greenhouse gases is through the aerosol effect on clouds and precipitation. In polluted regions, the numerous aerosol particles share the condensed water during cloud formation, therefore reducing cloud droplet size by 2030%, causing an increase in cloud reflectance of sunlight by up to 25% (refs. 2, 1619), and cooling the Earths surface. The smaller, polluted cloud droplets are inefficient in producing precipitation20,21, so they may ultimately modify precipitation patterns in populated regions that are adapted to present precipitation rates. The cooling effect due to polluted clouds is still poorly characterized with an uncertainty 5 to 10 times larger than the uncertainty in the predicted warming effect of greenhouse gases1,22. The effect of aerosols on precipitation is even less well understood. To assess the aerosol effect on climate we first need to distinguish natural from anthropogenic aerosols. Satellite data and aerosol transport models show that plumes of smoke and regional pollution have distinguishably large concentrations of aerosols in particular of fine (submicron) size. In contrast, natural aerosol layers may have concentrated coarse dust particles and only widespread fine aerosols from oceanic and continental sources23. The ability of satellites to observe the spatial distribution of aerosols2428, and to distinguish fine from coarse particles, can be exploited to separate natural from anthropogenic aerosols. In situ measurements of aerosol composition29,30 and size, models that assimilate
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These mainly fine hygroscopic particles are found downwind of populated regions5 (regions a, c and e in Fig. 1a) in air polluted, for example, by car engines, industry, cooking and fireplaces. In China, economic growth and population expansion increased AOT from 0.38 in 1960 to 0.47 in 1990 (ref. 45). Pollution aerosol was modelled first as sulphates only11, but new chemical measurements46 show that downwind of the eastern United States47 the contribution of carbonaceous material to AOT (30%) is double that of sulphates (16%), with water intake (48%) and black carbon (6%) accounting for the rest. Black carbon describes the effective fraction of elemental carbon that accounts for the absorption properties of the aerosol. Emission of black carbon is lower for newer engine technology so that black carbon contributes generally more to AOT in south and east Asia and Central America32,33 (11%). Absorption by black carbon is not only related to its concentration, but also depends on its location in the aerosol particle  absorption can be two to three times stronger if the black carbon is located inside the scattering particle4851.
Smoke from vegetation fires
Smoke from vegetation fires is dominated by fine organic particles with varying concentrations of light-absorbing black carbon (regions b and d in Fig. 1a) emitted in the hot, flaming stage of the fire. In forest fires the flaming stage is followed by a long, cooler smouldering stage in which the thicker wood, not completely consumed, emits smoke (composed of organic particles without black carbon) in much greater quantities than during the flaming stage. Conversely, thin African grasses burn quickly in strong flaming fires, emitting large quantities of black carbon, without a smouldering stage. On average, 12% of African smoke AOT is due to absorption by black
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Analysis\Aerosol type AERONET analysis Time of the year Average AOT AOTf % absorption of AOT MODIS analysis Average AOT AOTf FTOA (W m2) FSUR (W m2) 3%
Regional pollution aerosol East. US Europe JunSep 0.20 94% 6% North Atlantic 60105 W 2045 N 0.18 41% 8 10 SE Asia Cen. Am. JanApl JanDec 0.20 95% 12% SE Asia 70140 E 540 N 0.24 44% 10 23 0.30 90%
The aerosol properties presented are based on two types of analysis. The top part of the table shows systematic multi-year measurements by the Aerosol Robotic Network (AERONET)33,41 and in situ measurements47,87,88, whereas data in the bottom part of the table are based on analysis of Moderate-resolution Imaging Spectroradiometer (MODIS) satellite data for September 2000. In the AERONET analysis, aerosol optical thickness (AOT) is a measure of the aerosol column concentration and is given at a wavelength of 0.55 m. Four aerosol types are shown with a representative size distribution (in units of m3 per m2): (1) pollution from eastern United States (Greenbelt, Maryland) and Europe (Venice and Paris), southeast Asia (Maldives-INDOEX) and Central America (Mexico City); (2) biomass burning from Africa and South America; (3) dust over the Atlantic Ocean (Cape Verde); and (4) maritime aerosol over the Pacific Ocean (Lanai). The uncertainty in AOT is 0.01; contribution of the fine mode to AOT (AOTf) is given over the land with uncertainty of 2%. In the MODIS data the uncertainty in AOT ranges from 0.03 to 0.06. The reflection of sunlight to space (FTOA) and reduction of surface illumination (FSUR) are based on the AERONET and MODIS data, using the radiative transfer code of Chou89.
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Dust is emitted from dry lakebeds in the Sahara, east Asia and the Saudi Arabian deserts5,6 (regions a and c in Fig. 1b) that were flooded
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Figure 1 Global distribution of fine and coarse aerosol optical thickness (AOT) derived from MODIS measurements on the NASA Terra spacecraft for September 2000. AOT is a measure of the aerosol column concentration and is represented by the colour scale at a wavelength of 0.55 m. Black regions have surface properties inappropriate for MODIS aerosol retrievals or very low solar elevations. The white boxes indicate regions with high aerosol concentrations. a, Distribution of fine AOT. The image shows fine particles in pollution from North America and Europe (regions a and c), vegetation fires in South America and southern Africa (regions b and d) and pollution in south and east Asia (region e). b, Distribution of coarse AOT. Coarse dust from Africa (region a), salt particles in the windy Southern Hemisphere (region b) and desert dust (region c).
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in the Pleistocene era55. Almost no dust is observed from Australia5, where the topography is mostly flat, because the arid regions are old and highly weathered55. An unknown amount of dust is emitted from disturbed soils in Africa and east Asia. A previous estimate that 3050% (ref. 56) of African dust results from human impact is questioned by new satellite observations using the ultraviolet part of the solar spectrum6 (Box 1); these show that African dust originates mostly from uninhabited regions north of 15 N (ref. 55). Dust emission from Africa is influenced by large-scale air circulation57, which affects flow from the continent, and drought conditions. The highest dust production matches drought conditions in the strongest El Nio year of 1983 (ref. 7). Dust AOT is dominated by coarse particles58 with varying concentrations of iron oxide (rust) that absorbs light in the blue and ultraviolet wavelengths. However, African dust transported to Florida contains high concentrations of fine particles (10100 g m3) during the summer months and exceeds local pollution standards on particulate matter42. Dust from east Asia, from both natural sources and land use, is elevated to a height of 35 km with a pollution layer under it at 02 km (ref. 59), and is transported during April and May to North America. In April 2001 such a dust storm generated hazy conditions (AOT of 0.4) as far away as Boulder, Colorado (G. Feingold personal communication). On its way to North America, dust deposited in the Atlantic and Pacific Oceans provides key nutrients such as iron to oceanic phytoplankton60.
Oceanic aerosol
Figure 2 Model results of Chin et al.23 that correspond to the MODIS data of September 2000. a, Anthropogenic fine aerosols; b, natural fine aerosols; and c, coarse aerosols composed of natural dust and salt.
composed of coarse salt particles emitted from bursting sea foam in windy conditions and fine sulphate particles from oceanic emissions61. Oceanic aerosol generally absorbs very little sunlight33,62  its AOT is estimated to average 0.07 in most regions32,62, but increases in the windy region south of 40 S to 0.2 (ref. 23).
Anthropogenic component
Oceanic aerosol is shown in the blue regions of Fig. 1b and the elevated green values at latitudes south of 40 S (region b in Fig. 1b). It is
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It is difficult to distinguish anthropogenic from natural aerosols as even individual particles can have both natural and anthropogenic components30,32,63. Precise description of aerosol composition requires in situ chemical measurements that are restricted in time and location. However, it is possible to estimate the anthropogenic part of aerosols using a combination of satellite data, aerosol models23,24,44 and information on urban and agricultural activities and fire practices. For example, in Fig. 1 we see that anthropogenic aerosols downwind from vegetation fires and regions of industrial pollution are characterized by high concentration of fine particles. Aerosol models23 confirm this finding, and further show that natural fine aerosols emitted from large-area oceanic and land sources exhibit much smaller spatial variability (Fig. 2). An example of daily satellite data and model calculations (Fig. 3) shows clear distinction between dust plume (coarse particles) and the regional pollution (fine particles). The model simulations confirm this distinction.
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resulting from anthropogenic activity64. But pinpointing the anthropogenic source is proving difficult. Aerosol chemical composition can be used as a fingerprint of the source, and a ratio of 1:2 between black carbon and total carbonaceous aerosol or sulphates suggests that the aerosol is emitted primarily from fossil fuel consumption32. But aerosol concentration varies through the year, whereas the relatively steady use of fossil fuel in the tropics, with its small variation of energy use from winter to summer64, would suggest a stable aerosol concentration. A correlation between aerosol concentration and number of fires in India64 suggests a large contribution of biomass burning. Analysis of aerosols and trace gases (CO and SO2) suggests a mixed origin, both from fossil fuel and bio-fuel burning in the same proximity65.
Figure 3 Satellite data and model calculations for a dust episode in east Asia advected over a pollution layer on 20 March 2001. a, b, NAAPS aerosol model simulation90 of the optical thickness of the coarse dust particles (a) and the fine sulphate particles (b); the optical thickness varies from 0.3 for the blue to 1.5 for the red. c, Optical thickness of fine particles (red) associated with air pollution and the coarse dust (green) derived from the MODIS data on the Terra satellite.
An example of the relationship between population density and pollution concentration is shown in Fig. 4. Proximity of dust to desert or agricultural area can be used as an indicator for natural desert dust. Continued improvements in the models, constrained by new, detailed global measurements, will enable us to isolate the anthropogenic aerosol component. In the Indian Ocean Experiment, chemical separation of aerosols into natural and anthropogenic components32 shows that the natural aerosol AOT is 0.07, with an additional 0.20.6 over the Bay of Bengal
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The climate system varies naturally, through the dynamic interplay between atmospheric, oceanic and terrestrial moisture and energy. However, the radiative effects resulting from an increase in the concentration of anthropogenic aerosol or greenhouse gases, called radiative forcing, cause a net change in the Earths absorbed and emitted solar and thermal energy and therefore are the basic ingredients of climate change1. A negative radiative forcing indicates that the Earthatmosphere system loses radiant energy, resulting in cooling. Models of the climate system1 show a direct relationship between radiative forcing and average global surface temperature, which rises 0.41.2 C for every 1 W m2 of forcing. However, this relationship may break down for strongly absorbing aerosols12,14,15. Dust and smoke serve as an example of weakly and strongly absorbing aerosols (see Table 1). Absorption accounts for 5% and 12% of AOT for Saharan Desert dust and for aerosols in south and east Asia, respectively33. In September 2000, dust reflected 17 W m2 of sunlight to space, thus reducing by an equivalent amount the energy available to heat the Earthatmosphere system. At the same time, the dust reduced surface illumination by 23 W m2; the difference (6 W m2) is due to the absorption of sunlight. The aerosols in south and east Asia also reduced surface illumination by 23 W m2, but absorbed 13 W m2, reflecting only 10 W m2 to space32. Figure 5 shows the large regional extent of the aerosol radiative effects for these two aerosol types. Another example of the radiative effects of weakly or strongly absorbing aerosol occurs over the Atlantic Ocean. Absorbing smoke is transported from Africa across the Southern Atlantic and less absorbing pollution aerosol is transported from North America in the Northern Atlantic (Fig. 1). In September 2000, aerosols found in these two
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Figure 4 Comparison between concentration of anthropogenic aerosol and population density. a, Aerosol polarization index derived from the data of the POLDER instrument flown on ADEOS-1 in February 1997. The index is derived from measurements of
polarization of scattered solar light and is sensitive only to the presence of fine aerosol particles that in high concentration originate from anthropogenic sources. b, Population density map (inhabitants per square kilometre).
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Aircraft measurements show that in polluted air a sixfold increase in the number of fine aerosols per unit volume of air produces a three- to fivefold increase in the droplet concentration2,71. Analysis of global satellite data shows that such a change in aerosol concentration corresponds to 1025% smaller cloud droplets17,38 (Fig. 7), because the condensed water is divided into more numerous droplets. Clouds with smaller, more numerous droplets have a larger surface area and a corresponding increase in reflectivity of up to 30% (ref. 17). This increase in the reflection of sunlight to space, called the first aerosol indirect effect, was proposed by Twomey, based on two decades of aircraft sampling, to possibly rival the greenhouse forcing9. If these global cloud modifications can be attributed to anthropogenic effects72, they would translate into a solar radiative forcing of 0.5 to 1.5 W m2 (refs 17, 73). The actual effect of aerosols on cloud droplets, as inferred from global measurements from aircraft2 and satellites17,38, is 1.53 times smaller than that expected by Twomey for constant liquid water content9. In polluted air, above a given threshold of CCN concentration, the concentration of cloud droplets does not increase further; this results from competition between the more numerous CCN for water vapour2, and it may explain the smaller global effect. The threshold depends on cloud dynamics, availability of moisture, aerosol size distribution and chemical properties. The larger and more hygroscopic the particles, the greater their ability to
Figure 5 Solar radiative perturbation at the top of the atmosphere and the surface for the tropical Atlantic and Indian Ocean. Top of the atmosphere (left parts) and surface (right parts) solar radiative perturbation (W m2) in clear sky is shown for the tropical Atlantic Ocean in May 1997 (upper parts) and the Indian Ocean in March 1997 (lower parts). The radiative perturbation is derived from the POLDER daily analysis of the aerosol optical depth combined with aerosol models modified to reproduce the aerosol absorption of Table 1. Over the Indian Ocean the perturbation is three times larger at the surface than at the top of atmosphere, as the aerosol-absorbed sunlight does not reach the surface.
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concentration of cloud droplets and the indirect forcing76. A contrary effect can take place from organic films that retard droplet growth and reduce drop concentration77.
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Figure 6 Schematic diagram of cloud formation in a clean and polluted atmosphere. a, In a clean atmosphere, the cloud droplet size increases with cloud development until liquid precipitation or glaciation and precipitation take place. b, In polluted clouds, the availability of cloud condensation nuclei decreases cloud droplet development. In clouds with strong updrafts the developed cloud can be supercooled with no glaciation down to 37.5 C. The filled circles show the location of droplets of varying size, the asterisks show the location of ice crystals, and the oval shapes indicate rain drops.
compete at a given cloud updraft speed74. The presence of even a few supermicron CCN particles per litre, such as sea salt or dust particles coated with sulphates63, may reduce the indirect effect of pollution aerosol and produce precipitation75. Additional aerosol processes have to be considered, such as the possibility that water-soluble organic compounds present in the particle and the presence of soluble gases (HNO3) in the atmosphere help the aerosols to take up water vapour and further increase the
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In clean conditions the cloud droplet size increases as the cloud develops and extends in the vertical direction until the droplet reaches a critical radius of ~15 m (ref. 36) for the onset of liquid precipitation. Alternatively, the droplet may freeze if the cloud top temperature reaches 10 C. In pollution plumes over Australia and Canada, and smoke plumes over Indonesia, satellite data show not only smaller droplets at the cloud base (58 m radius compared with 1015 m in clean conditions), but also a lack of increase in droplet size as the cloud develops, rising through the atmosphere and accumulating water vapour. Consequently, precipitation does not occur or is delayed in polluted water clouds20,21. In the same regions, non-polluted cloud droplets grow to 2030 m and precipitation occurs. This suppression of precipitation was also observed for stratiform clouds polluted by emissions from ship stacks36 and for polluted cumulus clouds in the Indian Ocean71. The high concentration of aerosol supplies new CCN to condense the excess water vapour as the cloud cools down. The result is an increase in the cloud liquid water content, cloud lifetime and area of coverage  called the second aerosol indirect effect. The global importance of this effect is still not clear. Analysis of changes in cloud fraction and precipitation throughout the last century suggests that more clouds are needed for the same amount of precipitation, as would be expected given the inhibitory effect of pollution on precipitation (D. Rosenfeld personal communication, from data in ref. 1).
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Water clouds that cannot precipitate owing to the high concentration of aerosols could still precipitate once the droplets freeze.
Figure 7 Effect of aerosol on cloud droplet and reflectance derived from POLDER and AVHRR spaceborne measurements. a, Seasonal (MarchMay 1997) average droplet size in liquid water clouds estimated from the POLDER measurements31. b, The dependence of the droplet size on the aerosol index, also derived from POLDER over land (red) and ocean (blue). c, Analysis of AVHRR data for the dependence of the droplet size (purple) and cloud reflectance (brown and red) on aerosol optical thickness over the Amazon Basin during the dry burning season of 1987 (refs 16, 19). The reflectance of low-level clouds (brown) with reflectance of 0.35 increases with the aerosol concentration and the reflectance of bright clouds (red) decreases.
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emission and transport of dust (mostly from natural sources) from pollution and smoke aerosols (mostly anthropogenic) around the planet. Remote sensors also map the distribution and properties of clouds17,24,38,72, precipitation20,21 and the Earths reflected solar and emitted thermal energy to space39,84,85, as these atmospheric constituents are impacted by the aerosol. These global data and source characterization83 feed aerosol models11,23,86 to show us an increasingly realistic picture of aerosols around the world and their impact on the environment. To achieve these ends, ground-based and in situ measurements, models and satellite observation have to be each improved and integrated. I
doi:10.1038/nature01091 1. Intergovernmental Panel on Climate Change. Climate Change 2001The Scientific Basis (contribution of working group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change) (Cambridge Univ. Press, Cambridge, 2001). 2. Ramanathan, V. et al. Aerosols, climate, and the hydrological cycle. Science 294, 21192124 (2001). 3. Andreae, M. O. et al. External mixture of sea salt, silicates, and excess sulfate in marine aerosols. Science 232, 16201623 (1986). 4. Keeling, C. D. The concentration and isotopic abundances of carbon dioxide in the atmosphere. Tellus 12, 200203 (1960). 5. Husar, R. B., Prospero, J. & Stowe, L. L. Characterization of tropospheric aerosols over the oceans with the NOAA AVHRR optical thickness operational product. J. Geophys. Res. 102, 1688916909 (1997). 6. Herman, J. R. et al. Global distribution of UV-absorbing aerosol from Nimbus-7/TOMS data. J. Geophys. Res. 102, 1691116922 (1997). 7. Prospero, J. M. & Nees, R. T. Impact of the North African drought and El Nio on mineral dust in the Barbados trade wind. Nature 320, 735738 (1986). 8. Clarke, A. D. & Charlson, R. J. Radiative properties of the background aerosol: absorption component of extinction. Science 229, 263265 (1985). 9. Twomey, S. A., Piepgrass, M. & Wolfe, T. L. An assessment of the impact of pollution on the global albedo. Tellus 36B, 356366 (1984). 10. Charlson, R. J. et al. Climate forcing of anthropogenic aerosols. Science 255, 423430 (1992). 11. Kiehl, J. T. & Briegleb, B. P. The relative roles of sulfate aerosols and greenhouse gases in climate forcing. Science 260, 311314 (1993). 12. Satheesh, S. K. & Ramanathan, V. Large differences in tropical aerosol forcing at the top of the atmosphere and Earths surface. Nature 405, 6063 (2000). 13. Eck, T. F. et al. Measurements of irradiance attenuation and estimation of the aerosol single scattering albedo for biomass burning in Amazonia. J. Geophys. Res. 103, 3186531878 (1998). 14. Hansen, J., Sato, M. & Ruedy, R. Radiative forcing and climate response. J. Geophys. Res. 102, 68316864 (1997). 15. Ackerman, A. S. et al. Reduction of tropical cloudiness by soot. Science 288, 10421047 (2000). 16. Kaufman, Y. J. & Fraser, R. S. Confirmation of the smoke particles effect on clouds and climate. Science 277, 16361639 (1997). 17. Nakajima, T. et al. A possible correlation between satellite-derived cloud and aerosol microphysical parameters. Geophys. Res. Lett. 28, 11711174 (2001). 18. Coakley, J. A. Jr, Bernstein, R. L. & Durkee, P. A. Effect of ship stack effluents on cloud reflectance. Science 237, 953956 (1987). 19. Kaufman, Y. J. & Nakajima, T. Effect of Amazon smoke on cloud microphysics and albedo. J. Appl. Meteorol. 32, 729744 (1993). 20. Rosenfeld, D. TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall. Geophys. Res. Lett. 26, 31053108 (1999). 21. Rosenfeld, D. Suppression of rain and snow by urban and industrial air pollution. Science 287, 17931796 (2000). 22. Boucher, O. & Haywood, J. On summing the components of radiative forcing of climate change. Clim. Dynam. 18, 297302 (2001). 23. Chin, M et al. Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and Sun photometer measurements. J. Atmos. Sci. 59, 461483 (2002). 24. King, M. D. et al. Remote sensing of tropospheric aerosols from space: past, present and future. Bull. Am. Meteorol. Soc. 80, 22292259 (1999). 25. Tanr, D. et al. Remote sensing of aerosol over oceans from EOS-MODIS. J. Geophys. Res. 102, 1697116988 (1997). 26. Deuz, J.-L. et al. Estimate of the aerosol properties over the ocean with POLDER. J. Geophys. Res. 105, 1532915346 (2000). 27. Diner, D. J. et al. MISR aerosol optical depth retrievals over southern Africa during the SAFARI-2000 dry season campaign. Geophys. Res. Lett. 28, 31273130 (2001). 28. Veefkind, J. P., de Leeuw, G. & Durkee, P. A. Retrieval of aerosol optical depth over land using twoangle view satellite radiometry during TARFOX. Geophys. Res. Lett. 25, 31353138 (1998). 29. Delene, D. J. & Ogren, J. A. Variability of aerosol optical properties at four North American surface monitoring sites. J. Atmos. Sci. 59, 11351150 (2002). 30. Artaxo, P. et al. Large scale aerosol source apportionment in Amazonia. J. Geophys. Res. 103, 3183731847 (1998). 31. Kaufman, Y. J. et al. The Smoke, Clouds and Radiation experiment in Brazil (SCAR-B). J. Geophys. Res. 103, 3178331808 (1998). 32. Ramanathan, V. et al. The Indian Ocean Experiment: an integrated analysis of the climate forcing and effects of the great Indo-Asian haze. J. Geophys. Res. 106, 2837128398 (2001). 33. Dubovik, O. et al. Variability of absorption and optical properties of key aerosol types observed in worldwide locations. J. Atmos. Sci. 59, 590608 (2002). 34. Rotstayn, L. D., Ryan, B. F. & Penner, J. E. Precipitation changes in a GCM resulting from the indirect effects of anthropogenic aerosols. Geophys. Res. Lett. 27, 30453048 (2000). 35. Lohmann, U. & Feichter, J. Impact of sulfate aerosols on albedo and lifetime of clouds: a sensitivity study with the ECHAM4 GCM. J. Geophys. Res. Atmos. 102, 1368513700 (1997).
The presence of light-absorbing black carbon in aerosols can also affect cloud properties. Models show that heating of the lower troposphere by aerosol absorption reduces cloud formation15, an effect referred to as the semi-direct effect14. There are no direct measurements of this effect, but analysis of satellite data of clouds embedded in varying concentrations of smoke from fires in the Amazon basin19 shows that for the thicker clouds an increase in the smoke AOT from 0.2 to 3 raises the cloud-top temperature by 4 C, decreases the cloud reflectance by 0.13, while still reducing the droplet size by 40% (Fig. 7c). The simultaneous rise in the cloud-top temperature and reduction in reflectance more than black carbon absorption itself can explain19 indicates the possibility of a reduction in convection, thereby causing a decrease in the updraft speed and in the amount of liquid water available to form the cloud19. The effect of aerosols on cloud droplet size is better understood than their effect on precipitation. Additional studies are needed to quantify the indirect effect of aerosols on climate, but the potential for a significant cooling in most regions is indicated. The reduction of the precipitation efficiency by anthropogenic aerosols has the potential to shift precipitation away from polluted regions34. Because the continents are more polluted than the ocean, this can cause a loss of fresh water over the continents, and in particular around populated regions. However, long-term regional studies that can measure the significance of this effect are still not available.
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Acknowledgements
We thank F. M. Bron, M. Chin, O. Dubovik, G. Feingold, P. Formenti, M. Herman, D. Herring, B. N. Holben, S. Mattoo, L. Remer and D. Rosenfeld for measurements and calculations used in this paper and for editorial comments. POLDER was a CNES/NASDA project; TOMS and MODIS are NASA projects.
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