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77<br />

in winter and spring, while substantial underestimations are<br />

identified in summer and fall. The R-2 simulations in these<br />

regions has the similar flaw like regions described above,<br />

overestimating the precipitation in august. For Szechwan<br />

Basin, the WRF simulation is basically underestimating<br />

precipitation all season (except spring), while R-2 generates<br />

substantially larger (smaller) rainfall in fall and winter<br />

(spring and summer). For south of Qinghai-Tibet Plateau,<br />

the WRF simulates larger rainfall than observation except<br />

for august, while the R-2 simulates larger rainfall all year<br />

than the observation. In Western North Xinjiang area, the<br />

WRF simulates larger (smaller) rainfall than the observation<br />

in spring, fall and winter (summer), while the R-2 biases<br />

mainly exist in excessive summer precipitation.<br />

Liang, X.-Z., L. Li, K. E. Kunkel, M. Ting, and J. X. L.<br />

Wang (2004), Regional climate model simulation of<br />

U.S. precipitation during 1982–2002. Part 1: Annual<br />

cycle, J. Climate, 17, 3510–3528.<br />

Machenhauer, B. Windelband, M., Botzet, M., Christensen<br />

J.H., Déqué, M., Jones, R.G, Ruti, P., and Visconti, G.<br />

(1998) Validation and analysis of regional present-day<br />

climate and climate change simulations over Europe<br />

MPI for Meteorology report 275, 87pp.<br />

3. Conclusion<br />

The precipitation simulation is more skillful in DJF/SON<br />

than in MAM/JJA in most area of China, and produces more<br />

convincing results in East China than the west. Hence the<br />

WRF downscaling provides an incredible way to improve<br />

reanalysis data in China, which has its distinct geographical<br />

configurations: west terrain high and low in the east, with<br />

ocean surrounds its south and east. The results that fall and<br />

winter simulation is better than spring and summer are<br />

possible due to the weakness of modeling convections in<br />

spring and summer. Overall, based on a number of objective<br />

measures of climate simulation skill, the WRF reproduces<br />

observed spatial and seasonal precipitation patterns better<br />

than the R-2 simulations.<br />

References<br />

Dickinson, R. E., R. M. Erroco, F. Giorgi, and G. T. Bates,<br />

1989: A regional climate model for the western United<br />

States. Climate Change, 15, 383–422.<br />

Christensen, O. B., J. H. Christensen, B. Machenauer, and<br />

M. Bozet, 1998: Very high-resolution regional climate<br />

simulations over Scandinavia—Present climate. J.<br />

Climate, 11, 3204–3229.<br />

Fu, C. and F. Giorgi, 1996: development of coupled climate,<br />

ecology, chemistry regional modeling activities for East<br />

Asia and study of environmental effects of<br />

anthropogenic activities over the region. Proposal to<br />

START-TEA (Temperature East Asia region). 21pp.<br />

Available from authors.<br />

Giorgi, F., 1990: On the simulation of regional climate using<br />

a limited area model nested in a general circulation<br />

model. J. Climate, 3, 941–963.<br />

Giorgi, F. and Mearns, L. O.: 1991, ‘Approaches to the<br />

Simulation of Regional Climate Change: A Review’,<br />

Rev. Geophys. 29, 191–216.<br />

Giorgi, F., C. S. Brodeur, and G. T. Bates, 1993a: Regional<br />

climate change scenarios over the United States<br />

produced with a nested regional climate model. J.<br />

Climate, 7, 375–399.<br />

Jones, R. G., J. M. Murphy, and M. Noguer, 1995:<br />

Simulation of climate change over Europe using a nested<br />

regional climate model, I, Assessment of control<br />

climate, including sensitivity to location of lateral<br />

boundary conditions. Quart. J. Roy. Meteor. Soc., 121,<br />

1413–1449.<br />

Leung, L.R., Mearns, L.O., Giorgi, F., and R. Wilby, 2003:<br />

Workshop on regional climate research: Needs and<br />

opportunities, Bull. Amer. Met. Soc. (in press).

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