The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
MODIS 3 km aerosol product: algorithm and global perspective
Open accessAbstract
Abstract. After more than a decade of producing a nominal 10 km aerosol product based on the dark target method, the MODerate resolution Imaging Spectroradiometer (MODIS) aerosol team will be releasing a nominal 3 km product as part of their Collection 6 release. The new product differs from the original 10 km product only in the manner in which reflectance pixels are ingested, organized and selected by the aerosol algorithm. Overall, the 3 km product closely mirrors the 10 km product. However, the finer resolution product is able to retrieve over the ocean closer to islands and coastlines, and is better able to resolve fine aerosol features such as smoke plumes over both ocean and land. In some situations, it provides retrievals over entire regions that the 10 km product barely samples. In situations traditionally difficult for the dark target algorithm such as over bright or urban surfaces, the 3 km product introduces isolated spikes of artificially high aerosol optical depth (AOD) that the 10 km algorithm avoids. Over land, globally, the 3 km product appears to be 0.01 to 0.02 higher than the 10 km product, while over ocean, the 3 km algorithm is retrieving a proportionally greater number of very low aerosol loading situations. Based on collocations with ground-based observations for only six months, expected errors associated with the 3 km land product are determined to be greater than that of the 10 km product: ± 0.05 ± 0.20 AOD. Over ocean, the suggestion is for expected errors to be the same as the 10 km product: ± 0.03 ± 0.05 AOD, but slightly less accurate in the coastal zone. The advantage of the product is on the local scale, which will require continued evaluation not addressed here. Nevertheless, the new 3 km product is expected to provide important information complementary to existing satellite-derived products and become an important tool for the aerosol community.
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Cites
The MODIS Aerosol Algorithm, Products, and Validation
Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., et al. (2005) · Journal of the Atmospheric Sciences · doi:10.1175/jas3385.1 · Cited by 3,122
Self-citationThe Collection 6 MODIS aerosol products over land and ocean
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Self-citationThe aerosol-climate model ECHAM5-HAM
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Cited by
The Collection 6 MODIS aerosol products over land and ocean
Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., & Hsu, N. C. (2013) · Atmospheric Measurement Techniques · doi:10.5194/amt-6-2989-2013 · Cited by 2,323
Self-citationvan Donkelaar, A., Martin, R. V., Brauer, M., Hsu, N. C., Kahn, R. A., Levy, R. C., Lyapustin, A., Sayer, A. M., & Winker, D. M. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b05833 · Cited by 1,206
Self-citationOzone depletion and climate change: impacts on UV radiation
McKenzie, R. L., Aucamp, P. J., Bais, A. F., Björn, L. O., Ilyas, M., & Madronich, S. (2011) · Photochemical & Photobiological Sciences · doi:10.1039/c0pp90034f · Cited by 609
Ozone depletion and climate change: impacts on UV radiation
Bais, A. F., McKenzie, R. L., Bernhard, G., Aucamp, P. J., Ilyas, M., Madronich, S., & Tourpali, K. (2014) · Photochemical & Photobiological Sciences · doi:10.1039/c4pp90032d · Cited by 326
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Metadata
- Authors
- Remer, L. A., Mattoo, S., Levy, R. C., & Munchak, L. A.
- Venue
- Atmospheric Measurement Techniques
- Publisher
- Copernicus GmbH
- Published
- 2013-07-31
- Volume
- 6
- Issue
- 7
- Pages
- 1829-1844
- ISSN
- 1867-1381 (ISSN-L)
- 1867-8548
- OpenAlex
- W2013519992
- Cited by
- 405
- References
- 40
- FWCI
- 15.61
- Type
- journal article
- Language
- en
- Open access
- gold
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