The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Remote sensing of aerosols over land surfaces from POLDER‐ADEOS‐1 polarized measurements
Open accessAbstract
The polarization measurements achieved by the POLDER instrument on ADEOS‐1 are used for the remote sensing of aerosols over land surfaces. The key advantage of using polarized observations is their ability to systematically correct for the ground contribution, whereas the classical approach using natural light fails. The estimation of land surface polarizing properties from POLDER has been examined in a previous paper. Here we consider how the optical thickness δ 0 and Ångstrom exponent α of aerosols are derived from the polarized light backscattered by the particles. The inversion scheme is detailed, and illustrative results are presented. Maps of the retrieved optical thickness allow for detection of large aerosol features, and in the case of small aerosols, the δ 0 and α retrievals are consistent with correlative ground‐based measurements. However, because polarized light stems mainly from small particles, the results are biased for aerosol distributions containing coarser modes of particles. To overcome this limitation, an aerosol index defined as the product AI = δ 0 α is proposed. Theoretical analysis and comparison with ground‐based measurements suggest that AI is approximately the same when using δ 0, and α is related to the entire aerosol size distribution or derived from the polarized light originating from the small polarizing particles alone. This invariance is specially assessed by testing the continuity of AI across coastlines, given the unbiased properties of aerosol retrieval over ocean. Although reducing the information concerning the aerosols, this single parameter allows a link between the POLDER aerosol surveys over land and ocean. POLDER aerosol index global maps enable the monitoring of major aerosol sources over continental areas.
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Cites
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Cited by
Bounding the role of black carbon in the climate system: A scientific assessment
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Self-citationRosenfeld, D., Andreae, M. O., Asmi, A., Chin, M., de Leeuw, G., Donovan, D. P., Kahn, R., Kinne, S., Kivekäs, N., Kulmala, M., et al. (2014) · Reviews of Geophysics · doi:10.1002/2013rg000441 · Cited by 629
Multispectral Chiral Imaging with a Metalens
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Metadata
- Authors
- Deuzé, J. L., Bréon, F. M., Devaux, C., Goloub, P., Herman, M., Lafrance, B., Maignan, F., Marchand, A., Nadal, F., Perry, G., & Tanré, D.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2001-03
- Volume
- 106
- Issue
- D5
- Pages
- 4913-4926
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2165332166
- Cited by
- 498
- References
- 31
- FWCI
- 15.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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