The MACv2 aerosol climatology

The MAC aerosol climatology defines monthly global maps for aerosol properties. The definition of mid-visible optical and microphysical properties is strongly linked to multi-year statistics of observations by sun-photometers of the AERONET and MAN ground networks. As available statistics are spatia...

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Main Author: STEFAN KINNE
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Tellus: Series B, Chemical and Physical Meteorology
Subjects:
Online Access:http://dx.doi.org/10.1080/16000889.2019.1623639
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spelling doaj-ef5924d2a78c4138964ffd6af5f619f22020-11-25T02:31:42ZengTaylor & Francis GroupTellus: Series B, Chemical and Physical Meteorology1600-08892019-01-0171112110.1080/16000889.2019.16236391623639The MACv2 aerosol climatologySTEFAN KINNE0MPI-MeteorologyThe MAC aerosol climatology defines monthly global maps for aerosol properties. The definition of mid-visible optical and microphysical properties is strongly linked to multi-year statistics of observations by sun-photometers of the AERONET and MAN ground networks. As available statistics are spatially sparse, context from bottom-up global modelling is added. Now in its second version, oceanic MAN reference data are included, a different lower anthropogenic fraction is assumed and the merging of the data-statistics is improved. Hereby, now only absolute properties are merged and trusted photometer data are given stronger weights via regional corrections in place of local domain limited corrections. Global average mid-visible (550 mn) aerosol properties are 0.12 for the aerosol optical depth (AOD), 0.94 for the single scattering albedo (SSA) and 0.7 for the asymmetry-factor (ASY). Averages for sub-micrometer (fine-mode) and super-micrometer (coarse-mode) aerosol sizes are 0.063 (AODf) and 0.058 (AODc), 0.92 (SSAf) and 0.965 (SSAc) and 0.64 (ASYf) and 0.77 (ASYc), respectively. A new element is the separation of aerosol absorption (AAOD) by sky-/sun-photometers into fine-mode and coarse-mode contributions. These properties as well as the fine-mode effective radii were merged with background data from global modelling yielding global averages of 0.0051 (AAODf), 0.0021 (AAODc) and 0.18 μm (RE,f). Local monthly mode detail now allows (in a ‘top-down’ approach) to extract global distributions for aerosol component amounts and sizes. As the considered components for soot (BC), organics (OC), non-absorbing fine-mode (SU), sea-salt (SS) and mineral dust (DU) have pre-defined spectrally resolved properties, optical properties at other than mid-visible wavelengths are automatically defined – as required in broadband radiative transfer applications. With component information (e.g. amount, composition and size) also MAC estimates for CCN and IN concentrations are possible and also a simple MAC based aerosol retrieval model for satellite sensor data is suggested.http://dx.doi.org/10.1080/16000889.2019.1623639atmosphereaerosolopticalradiativeglobal
collection DOAJ
language English
format Article
sources DOAJ
author STEFAN KINNE
spellingShingle STEFAN KINNE
The MACv2 aerosol climatology
Tellus: Series B, Chemical and Physical Meteorology
atmosphere
aerosol
optical
radiative
global
author_facet STEFAN KINNE
author_sort STEFAN KINNE
title The MACv2 aerosol climatology
title_short The MACv2 aerosol climatology
title_full The MACv2 aerosol climatology
title_fullStr The MACv2 aerosol climatology
title_full_unstemmed The MACv2 aerosol climatology
title_sort macv2 aerosol climatology
publisher Taylor & Francis Group
series Tellus: Series B, Chemical and Physical Meteorology
issn 1600-0889
publishDate 2019-01-01
description The MAC aerosol climatology defines monthly global maps for aerosol properties. The definition of mid-visible optical and microphysical properties is strongly linked to multi-year statistics of observations by sun-photometers of the AERONET and MAN ground networks. As available statistics are spatially sparse, context from bottom-up global modelling is added. Now in its second version, oceanic MAN reference data are included, a different lower anthropogenic fraction is assumed and the merging of the data-statistics is improved. Hereby, now only absolute properties are merged and trusted photometer data are given stronger weights via regional corrections in place of local domain limited corrections. Global average mid-visible (550 mn) aerosol properties are 0.12 for the aerosol optical depth (AOD), 0.94 for the single scattering albedo (SSA) and 0.7 for the asymmetry-factor (ASY). Averages for sub-micrometer (fine-mode) and super-micrometer (coarse-mode) aerosol sizes are 0.063 (AODf) and 0.058 (AODc), 0.92 (SSAf) and 0.965 (SSAc) and 0.64 (ASYf) and 0.77 (ASYc), respectively. A new element is the separation of aerosol absorption (AAOD) by sky-/sun-photometers into fine-mode and coarse-mode contributions. These properties as well as the fine-mode effective radii were merged with background data from global modelling yielding global averages of 0.0051 (AAODf), 0.0021 (AAODc) and 0.18 μm (RE,f). Local monthly mode detail now allows (in a ‘top-down’ approach) to extract global distributions for aerosol component amounts and sizes. As the considered components for soot (BC), organics (OC), non-absorbing fine-mode (SU), sea-salt (SS) and mineral dust (DU) have pre-defined spectrally resolved properties, optical properties at other than mid-visible wavelengths are automatically defined – as required in broadband radiative transfer applications. With component information (e.g. amount, composition and size) also MAC estimates for CCN and IN concentrations are possible and also a simple MAC based aerosol retrieval model for satellite sensor data is suggested.
topic atmosphere
aerosol
optical
radiative
global
url http://dx.doi.org/10.1080/16000889.2019.1623639
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AT stefankinne macv2aerosolclimatology
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