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| Titel |
Differences between downscaling with spectral and grid nudging using WRF |
| VerfasserIn |
P. Liu, A. P. Tsimpidi, Y. Hu, B. Stone, A. G. Russell, A. Nenes |
| 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 ; 12, no. 8 ; Nr. 12, no. 8 (2012-04-16), S.3601-3610 |
| Datensatznummer |
250011063
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| Publikation (Nr.) |
 copernicus.org/acp-12-3601-2012.pdf |
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| Zusammenfassung |
| Dynamical downscaling has been extensively used to study regional climate
forced by large-scale global climate models. During the downscaling process,
however, the simulation of regional climate models (RCMs) tends to drift
away from the driving fields. Developing a solution that addresses this
issue, by retaining the large scale features (from the large-scale fields)
and the small-scale features (from the RCMs) has led to the development of
"nudging" techniques. Here, we examine the performance of two nudging
techniques, grid and spectral nudging, in the downscaling of NCEP/NCAR data
with the Weather Research and Forecasting (WRF) Model. The simulations are
compared against the results with North America Regional Reanalysis (NARR)
data set at different scales of interest using the concept of similarity. We
show that with the appropriate choice of wave numbers, spectral nudging
outperforms grid nudging in the capacity of balancing the performance of
simulation at the large and small scales. |
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