Effect of water vapor on the determination of aerosol direct radiative effect based on the AERONET fluxes ...

The aerosol direct radiative effect (ADRE) is defined as the change in the solar radiation flux, F, due to aerosol scattering and absorption. The difficulty in determining ADRE stems mainly from the need to estimate F without aerosols, F0, with either radiative transfer modeling and knowledge of the...

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Bibliographic Details
Main Authors: Huttunen, Jani, Arola, Antti, Myhre, Gunnar, Lindfors, Anders V., Mielonen, Tero, Mikkonen, Santtu, Schafer, Joel S., Tripathi, Sachchida N., Wild, Martin, Komppula, Mika, Lehtinen, Kari E.J.
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2014
Subjects:
Aerosol Robotic Network
Online Access:https://dx.doi.org/10.3929/ethz-b-000086421
http://hdl.handle.net/20.500.11850/86421
Description
Summary:The aerosol direct radiative effect (ADRE) is defined as the change in the solar radiation flux, F, due to aerosol scattering and absorption. The difficulty in determining ADRE stems mainly from the need to estimate F without aerosols, F0, with either radiative transfer modeling and knowledge of the atmospheric state, or regression analysis of radiation data down to zero aerosol optical depth (AOD), if only F and AOD are observed. This paper examines the regression analysis method by using modeled surface data products provided by the Aerosol Robotic Network (AERONET). We extrapolated F0 by two functions: a straight linear line and an exponential nonlinear decay. The exponential decay regression is expected to give a better estimation of ADRE with a few percent larger extrapolated F0 than the linear regression. We found that, contrary to the expectation, in most cases the linear regression gives better results than the nonlinear. In such cases the extrapolated F0 represents an unrealistically low water vapor ... : Atmospheric Chemistry and Physics, 14 (12) ...

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