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39<br />
used in RCM. To be consistent with excessive precipitation<br />
in the low-latitude regions in the case of the RCM runs with<br />
CCM, the intensity of trough in China and subtropical<br />
oceanic high is strengthened.<br />
(a) Gc_Rs – Gs_Rs vs. Gc_Rc – Gs_Rc<br />
Giorgi, F., and co-authors, Regional climate information-<br />
Evaluation and projections. Chapter 10 in Climate<br />
Change 2001: The Scientific Basis, Cambridge<br />
University Press, Houghton et al. (Eds.), 881pp, 2001<br />
Hong, S.-Y., and H.-L. Pan, Convective trigger function<br />
for a mass flux cumulus parameterization scheme,<br />
Mon. Wea. Rev., 126, 2599-2620, 1998<br />
Juang, H.-M. H., S.-Y. Hong, and M. Kanamitsu, The<br />
NCEP regional spectral model: An update, Bull. Amer.<br />
Meteor. Soc.,78, 2125-2143, 1997<br />
(b) Gs_Rc - Gs_Rs vs. Gc_Rc - Gc_Rs<br />
Wang, Y., L. R. Leung, J. L. McGregor, D.-K. Lee, W.-C.<br />
Wang, Y. Ding, and F. Kimura, Regional climate<br />
modeling: Progress, Challenges, and Prospects, J.<br />
Meteor. Soc. Japan, 82, 1599-1628, 2003<br />
Zhang G. J., and N. A. McPhalane, Sensitivity of climate<br />
simulations to the parameterization of cumulus<br />
convection in the Canadian climate centre general<br />
circulation model, Atmos-Ocean, 33, 407-446, 1995<br />
Figure 3. Vertical profiles of the difference in<br />
temperature (K) and relative humidity (%). Upper<br />
panel designates the difference between Gc_Rs and<br />
Gs_Rs (solid line) and Gc_Rc and Gs_Rc (dashed<br />
line) and lower panel shows the the difference<br />
between Gs_Rc and Gs_Rs (solid line) and Gc_Rc and<br />
Gc_Rs (dashed line), respectively.<br />
The influence of the large-scale features from the GDAS is<br />
better seen in Fig. 3. In this figure, it is seen that the<br />
characteristics of the differences in the vertical profiles of<br />
temperature and moisture in the global analyses appear in<br />
the downscaled climate. A relative warming in the middle<br />
troposphere and cooling in the lower troposphere exist in the<br />
case of CCM-GDAS run, as analyzed in the GDAS runs.<br />
Moistening in the upper troposphere is also visible. These<br />
vertical structures are distinct when the RCM employed the<br />
different convection scheme.<br />
4. Summary<br />
This study explores the one of the uncertainties for regional<br />
downscaling with the regional climate models (RCMs) of<br />
the climate signals from the general circulation models<br />
(GCMs); the inconsistency in physical parameterization<br />
between GCM and RCM. The results showed that the better<br />
large-scale data result in improved regional climate. In the<br />
seasonal simulation framework, the dependency of the<br />
GCM-generated large-scale conditions on the downscaled<br />
climate is as much as the regional model physics in terms of<br />
the large-scale forcing. The consistency in physical<br />
parameterizations between the GCM and RCM is the one of<br />
the factors to alleviate uncertainties in regional downscaling.<br />
References<br />
Annamalai, H., J. M. Slingo, K. R. Sperber, and K. Hodges,<br />
The mean evolution and variability of the Asian summer<br />
monsoon: Comparison of ECMWF and NCEP-NCAR<br />
reanalysis, Mon. Wea. Rev., 127, 1157-1186, 1999