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Characterization of tropospheric aerosols over the oceans with the NOAA advanced very high resolution radiometer optical thickness operational product
Open accessAbstract
The National Oceanic and Atmospheric Administration (NOAA) advanced very high resolution radiometer (AVHRR) is an instrument on a polar orbiting satellite that provides information on global aerosol distributions. The remote sensing algorithm is based on measurements of backscattered solar radiation which yield a measure of the “radiatively equivalent” aerosol optical thickness τ Asat(EAOT) over the oceans. Seasonally composited EAOT data for the period July 1989 to June 1991 reveal many spatially coherent plume‐like patterns that can usually be interpreted in terms of known (or reasonably hypothesized) sources in association with climatological wind fields. The largest and most persistent areas of high EAOT values are associated with wind‐blown dust and biomass burning sources; especially prominent are sources in Africa, the middle East, and the Asian subcontinent. Prominent plumes over the midlatitude North Atlantic are attributed to pollution emissions from North America and Europe. Large plumes attributed to pollution aerosols and dust from sources in Asia are clearly visible over the western and central North Pacific. On a global scale the annually averaged northern hemisphere EAOT values are about 1.7 times greater than those in the southern hemisphere. Considering each hemisphere separately, EAOT values in summer are about twice those in winter. Within the midlatitude band 30°–60° (i.e., where anthropogenic emissions are greatest) the summer/winter ratio is about 3. The temporal variability of monthly mean EAOT in specific ocean regions often shows characteristic seasonal patterns that are usually consistent with aerosol measurements made in the marine boundary layer. Nonetheless, there are features in the EAOT distributions that can not be readily interpreted at this time. The AVHRR EAOT distributions demonstrate that satellite products can serve as a useful tool for the planning and implementation of focused aerosol research programs and that they will be especially important in studies of climate‐related processes.
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Citations
Cites
Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate
Charlson, R. J., Lovelock, J. E., Andreae, M. O., & Warren, S. G. (1987) · Nature · doi:10.1038/326655a0 · Cited by 4,305
Spatial and temporal distribution of tropical biomass burning
Hao, W. M., & Liu, M. (1994) · Global Biogeochemical Cycles · doi:10.1029/94gb02086 · Cited by 528
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Light Absorption by Carbonaceous Particles: An Investigative Review
Bond, T. C., & Bergstrom, R. W. (2006) · Aerosol Science and Technology · doi:10.1080/02786820500421521 · Cited by 2,980
Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review
Haywood, J., & Boucher, O. (2000) · Reviews of Geophysics · doi:10.1029/1999rg000078 · Cited by 2,097
Biomass burning - A review of organic tracers for smoke from incomplete combustion
Simoneit, B. R. T. (2002) · Applied Geochemistry · doi:10.1016/s0883-2927(01)00061-0 · Cited by 1,389
Atmospheric global dust cycle and iron inputs to the ocean
Mahowald, N. M., Baker, A. R., Bergametti, G., Brooks, N., Duce, R. A., Jickells, T. D., Kubilay, N., Prospero, J. M., & Tegen, I. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002402 · Cited by 1,236
Self-citationGlobal dust model intercomparison in AeroCom phase I
Huneeus, N., Schulz, M., Balkanski, Y., Griesfeller, J., Prospero, J., Kinne, S., Bauer, S., Boucher, O., Chin, M., Dentener, F., et al. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-7781-2011 · Cited by 1,074
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Metadata
- Authors
- Husar, R. B., Prospero, J. M., & Stowe, L. L.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1997-07
- Volume
- 102
- Issue
- D14
- Pages
- 16889-16909
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2153014384
- Cited by
- 739
- References
- 2
- FWCI
- 46.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Husar, R. B., Prospero, J. M., & Stowe, L. L. (1997). Characterization of tropospheric aerosols over the oceans with the NOAA advanced very high resolution radiometer optical thickness operational product. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/96jd04009
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