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| Titel |
On the ability of RegCM4 regional climate model to simulate surface solar radiation patterns over Europe: an assessment using satellite-based observations |
| VerfasserIn |
G. Alexandri, A. K. Georgoulias, P. Zanis, E. Katragkou, A. Tsikerdekis, K. Kourtidis, C. Meleti |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 15, no. 22 ; Nr. 15, no. 22 (2015-11-27), S.13195-13216 |
| Datensatznummer |
250120192
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| Publikation (Nr.) |
 copernicus.org/acp-15-13195-2015.pdf |
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| Zusammenfassung |
| In this work, we assess the ability of RegCM4 regional climate model
to simulate surface solar radiation (SSR) patterns over
Europe. A decadal RegCM4 run (2000–2009) was implemented and
evaluated against satellite-based observations from the Satellite
Application Facility on Climate Monitoring (CM SAF), showing that the
model simulates adequately the SSR patterns over the region. The
SSR bias between RegCM4 and CM SAF is +1.5 % for MFG (Meteosat
First Generation) and +3.3 % for MSG (Meteosat Second
Generation) observations. The relative contribution of parameters
that determine the transmission of solar radiation within the
atmosphere to the deviation appearing between RegCM4 and CM SAF SSR
is also examined. Cloud macrophysical and microphysical properties
such as cloud fractional cover (CFC), cloud optical thickness (COT)
and cloud effective radius (Re) from RegCM4 are evaluated against
data from CM SAF. Generally, RegCM4 underestimates CFC by 24.3 %
and Re for liquid/ice clouds by 36.1 %/28.3 % and overestimates
COT by 4.3 %. The same procedure is repeated for aerosol optical
properties such as aerosol optical depth (AOD), asymmetry factor
(ASY) and single-scattering albedo (SSA), as well as other
parameters, including surface broadband albedo (ALB) and water vapor
amount (WV), using data from MACv1 aerosol climatology, from CERES
satellite sensors and from ERA-Interim reanalysis. It is shown here
that the good agreement between RegCM4 and satellite-based SSR
observations can be partially attributed to counteracting effects
among the above mentioned parameters. The potential contribution of each
parameter to the RegCM4–CM SAF SSR deviations is estimated with the
combined use of the aforementioned data and a radiative transfer
model (SBDART). CFC, COT and AOD are the major determinants of these
deviations on a monthly basis; however, the other parameters also play an important
role for specific regions and seasons. Overall, for the European domain, CFC, COT and
AOD are the most important factors, since their underestimations and overestimations by
RegCM4 cause an annual RegCM4–CM SAF SSR absolute deviation of 8.4, 3.8 and 4.5 %, respectively. |
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