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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

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