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dc.contributor.authorWendisch, Manfred
dc.contributor.authorMueller, D.
dc.contributor.authorMattis, I.
dc.contributor.authorAnsmann, A.
dc.identifier.citationWendisch , M , Mueller , D , Mattis , I & Ansmann , A 2006 , ' Potential of lidar backscatter data to estimate solar aerosol radiative forcing ' , Applied Optics , vol. 45 , no. 4 , pp. 770-783 .
dc.identifier.otherPURE: 1981100
dc.identifier.otherPURE UUID: ea757418-8bda-4ddc-b1a0-192514175e9d
dc.identifier.otherWOS: 000235074600023
dc.identifier.otherScopus: 33645036186
dc.identifier.otherORCID: /0000-0002-0203-7654/work/68611583
dc.description.abstractThe potential to estimate solar aerosol radiative forcing (SARF) in cloudless conditions from backscatter data measured by widespread standard lidar has been investigated. For this purpose 132 days of sophisticated ground-based Raman lidar observations (profiles of particle extinction and backscatter coefficients at 532 nm wavelength) collected during two campaigns [the European Aerosol Research Lidar Network (EARLINET) and the Indian Ocean Experiment (INDOEX)] were analyzed. Particle extinction profiles were used as input for radiative transfer simulations with which to calculate the SARF, which then was plotted as a function of the column (i.e., height-integrated) particle backscatter coefficient (beta(c)) A close correlation between the SARF and beta(c) was found. SARF-beta(c) parameterizations in the form of polynomial fits were derived that exhibit an estimated uncertainty of +/-(10-30)%. These parameterizations can be utilized to analyze data of upcoming lidar satellite missions and for other purposes. The EARLINET-based parameterizations can be applied to lidar measurements at mostly continental, highly industrialized sites with limited maritime influence (Europe, North America), whereas the INDOEX parameterizations rather can be employed in polluted maritime locations, e.g., coastal regions of south and east Asia. (c) 2006 Optical Society of America.en
dc.relation.ispartofApplied Optics
dc.titlePotential of lidar backscatter data to estimate solar aerosol radiative forcingen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Physics, Astronomy and Mathematics
rioxxterms.typeJournal Article/Review

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