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| Titel |
Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble |
| VerfasserIn |
E. Katragkou, M. García-Díez, R. Vautard, S. Sobolowski, P. Zanis, G. Alexandri, R. M. Cardoso, A. Colette, J. Fernandez, A. Gobiet, K. Goergen, T. Karacostas, S. Knist, S. Mayer, P. M. M. Soares, I. Pytharoulis, I. Tegoulias, A. Tsikerdekis, D. Jacob |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-16), S.603-618 |
| Datensatznummer |
250116179
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| Publikation (Nr.) |
 copernicus.org/gmd-8-603-2015.pdf |
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| Zusammenfassung |
| In the current work we present six hindcast WRF (Weather Research
and Forecasting model) simulations for the
EURO-CORDEX (European Coordinated Regional Climate Downscaling Experiment) domain with different configurations in microphysics, convection
and radiation for the time period 1990–2008. All regional model simulations
are forced by the ERA-Interim reanalysis and have the same spatial
resolution (0.44°). These simulations are evaluated for surface
temperature, precipitation, short- and longwave downward radiation at the
surface and total cloud cover. The analysis of the WRF ensemble indicates
systematic temperature and precipitation biases, which are linked to
different physical mechanisms in the summer and winter seasons.
Overestimation of total cloud cover and underestimation of downward
shortwave radiation at the surface, mostly linked to the Grell–Devenyi
convection and CAM (Community
Atmosphere Model) radiation schemes, intensifies the negative bias in
summer temperatures over northern Europe (max −2.5 °C). Conversely, a
strong positive bias in downward shortwave radiation in summer over central
(40–60%) and southern Europe mitigates the systematic cold bias over
these regions, signifying a typical case of error compensation. Maximum
winter cold biases are over northeastern Europe (−2.8 °C); this location
suggests that land–atmosphere rather than cloud–radiation interactions are to
blame. Precipitation is overestimated in summer by all model configurations,
especially the higher quantiles which are associated with summertime deep
cumulus convection. The largest precipitation biases are produced by the
Kain–Fritsch convection scheme over the Mediterranean. Precipitation biases
in winter are lower than those for summer in all model configurations
(15–30%). The results of this study indicate the importance of evaluating
not only the basic climatic parameters of interest for climate change
applications (temperature and precipitation), but also other components of the
energy and water cycle, in order to identify the sources of systematic
biases, possible compensatory or masking mechanisms and suggest pathways for
model improvement. |
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