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| Titel |
Diurnal aerosol variations do affect daily averaged radiative forcing under heavy aerosol loading observed in Hefei, China |
| VerfasserIn |
Z. Wang, D. Liu, Y. Wang, Z. Wang, G. Shi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 7 ; Nr. 8, no. 7 (2015-07-20), S.2901-2907 |
| Datensatznummer |
250116487
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| Publikation (Nr.) |
 copernicus.org/amt-8-2901-2015.pdf |
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| Zusammenfassung |
| A strong diurnal variation of aerosol has been observed in many heavily polluted
regions in China. This variation could affect the direct aerosol radiative
forcing (DARF) evaluation if the daily averaged value is used as normal
rather than the time-resolved values. To quantify the effect of using the
daily averaged DARF, 196 days of high temporal resolution ground-based data
collected in SKYNET Hefei site during the period from 2007 to 2013 is used
to perform an assessment. We demonstrate that strong diurnal changes of
heavy aerosol loading have an impact on the 24-h averaged DARF when daily
averaged optical properties are used to retrieve this quantity. The DARF
errors varying from −7.6 to 15.6 W m−2 absolutely and from
0.1 to 28.5 % relatively were found between the calculations using
daily average aerosol properties, and those using time-resolved aerosol
observations. These errors increase with increasing daily aerosol optical
depth (AOD) and decreasing daily single-scattering albedo (SSA), indicating
that the high temporal resolution DARF data set should be used in the model
instead of the normal daily-averaged one, especially under heavy aerosol
loading conditions for regional campaign studies. We also found that statistical
errors (0.3 W m−2 absolutely and 11.8 % relatively) will be less,
which means that the effect of using the daily averaged DARF can be weakened
by using a long-term observational data set. |
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