Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean

Citation
R. Kahn et al., Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean, J GEO RES-A, 106(D16), 2001, pp. 18219-18238
Citations number
46
Categorie Soggetti
Earth Sciences
Volume
106
Issue
D16
Year of publication
2001
Pages
18219 - 18238
Database
ISI
SICI code
Abstract
Multiangle remote sensing data can discriminate among aerosol air mass type s, as represented by climatologically probable, external mixtures of compon ent particles. Retrievals are performed over a comparison space of four-com ponent mixtures, selected from six commonly observed components having assu med, fixed microphysical properties but with mixing ratios free to vary fro m 0% to 100%. We refer to this approach, which assumes climatologically pro bable component particles and derives aerosol mixtures from the observation s, as a "climatological retrieval." On the basis of simulated Multiangle Im aging Spectroradiometer (MISR) observations over dark water, the retrieval can distinguish mixtures containing large, spherical particles (sea salt), nonspherical particles (accumulation and coarse mode dust), and small, dark particles (black carbon) to within 20% or better of each component's true mixing ratio. This is sufficient to distinguish maritime from continental a erosol air masses. The retrievals, which use all nine MISR angles and the t wo wavelengths least affected by ocean surface reflectance (672 and 867 nm) , are not good at distinguishing medium, spherical, nonabsorbing (sulfate) from medium, spherical, absorbing (carbonaceous') particles. However, the s um is retrieved to within 20% of the true mixing ratio or better. This is s ignificantly more detail about the properties of particle mixtures than has previously been retrieved from satellite data, and in all cases, the deriv ed total column aerosol optical depth remains well constrained, to at least 0.05 or 20%, whichever is larger. We expect the MISR data, with its freque nt global coverage, to complement in situ and field data, which can provide greater detail about aerosol size and composition locally. This combined e ffort should advance our knowledge of aerosol behavior globally and our abi lity to model the impact of aerosols on the climatically important solar ra diation budget.