2006
DOI: 10.1029/2005jd006184
|View full text |Cite
|
Sign up to set email alerts
|

Aerosol properties over the Indian Ocean Experiment (INDOEX) campaign area retrieved from ATSR‐2

Abstract: [1] Aerosol retrieval algorithms for ATSR-2 have been applied over land and water using data from the Indian Ocean Experiment (INDOEX) Intensive Field Phase (IFP) in February and March 1999. The goal was the extension of the ATSR-2 algorithms, developed for application over the U.S. east coast and Europe, to other areas with different types of aerosols and to explore the feasibility of deriving spatial variations in the aerosol composition. The ATSR-2 algorithm was extended with absorbing aerosols, and AERONET… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2007
2007
2018
2018

Publication Types

Select...
4
3

Relationship

3
4

Authors

Journals

citations
Cited by 12 publications
(5 citation statements)
references
References 42 publications
0
5
0
Order By: Relevance
“…The latter can nowadays be estimated by using satellites (Veihelmann et al, 2007), but the technique is still at an early stage and relies on the determination of aerosol type from these satellite data. However, even when the aerosol type is known with some degree of confidence (Robles-Gonzalez et al, 2006), the absorption properties are poorly determined. Aerosol particles usually do not have a unique chemical composition: they may be either externally mixed as individual particles of a single composition or they may be internal mixtures of two or more major constituents with their own optical characteristics, which may not be representative of the mixture.…”
Section: Introductionmentioning
confidence: 99%
“…The latter can nowadays be estimated by using satellites (Veihelmann et al, 2007), but the technique is still at an early stage and relies on the determination of aerosol type from these satellite data. However, even when the aerosol type is known with some degree of confidence (Robles-Gonzalez et al, 2006), the absorption properties are poorly determined. Aerosol particles usually do not have a unique chemical composition: they may be either externally mixed as individual particles of a single composition or they may be internal mixtures of two or more major constituents with their own optical characteristics, which may not be representative of the mixture.…”
Section: Introductionmentioning
confidence: 99%
“…The results were used to create look up tables (LUTs) containing the calculated TOA reflection. This method was extensively described in Robles‐Gonzalez et al [2006].…”
Section: Algorithm Descriptionmentioning
confidence: 99%
“…The SAFARI‐2000 area was chosen because of the availability of in situ data that can be used either for the algorithm development or for comparison with the retrieval results. To reach this goal, two aerosol types with different properties, mainly different imaginary part of the refractive index, have been implemented in our aerosol retrieval algorithms for ATSR‐2 following the work described by Robles‐Gonzalez et al [2006]. The retrieval of absorbing aerosol types renders problems because satellite sensors measure reflectance which due to absorption is reduced in the measured signal at the TOA.…”
Section: Introductionmentioning
confidence: 99%
“…A first attempt was made over the Indian Ocean, using data from the Indian Ocean Experiment (INDOEX). The results show the variation of the mixing ratio with wind fetch over the ocean, from a single industrial aerosol class near the Indian continent to an aerosol class dominated by sea-spray aerosol near the Intertropical Convergence Zone (Robles- Gonzalez et al, 2006). In this paper we present only the spectral AOD and its validation using AERONET data.…”
Section: Tno Dual-view Algorithmmentioning
confidence: 99%
“…The dual-view algorithm has been tested for the retrieval of the AOD and theÅngström parameter over several regions by comparison with AERONET data Robles Gonzalez et al, 2000;Robles Gonzalez et al, 2006). It was developed for the ATSR-2 and has been updated for using AATSR data.…”
Section: Tno Dual-view Algorithmmentioning
confidence: 99%