Biases and improvements in three dynamical downscaling climate simulations over China
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A dynamical downscaling is performed to improve the regional climate simulation in China. It consists of using a variable resolution model LMDZ4 nested into three global climate models (GCMs): BCC-csm1-1-m, FGOALS-g2 and IPSL-CM5A-MR, respectively. The regional climate from different simulations is assessed in terms of surface air temperature and rainfalls through a comparison to observations (both station data and gridded data). The comparison includes climatic trends during the last 40 years, statistical distribution of sub-regional climate, and the seasonal cycle. For surface air temperature, a significant part of the improvement provided by LMDZ4 is related to the effect of surface elevation which is more realistic in high-resolution simulations; the rest is related to changes in regional or local atmospheric general circulation. All GCMs and the downscaling model LMDZ4 are, more or less, able to describe the spatial distribution of surface air temperature and precipitation in China. LMDZ4 does show its superiority, compared to GCMs, in depicting a good regional terrain including the Tibetan Plateau, the Sichuan Basin and the Qilian Mountains.
This work is supported jointly by the National Natural Science Foundation of China (Grant No. 41230528), National Program on Key Basic Research Project of China (Grant No. 2012CB955204), China R&D Special Fund for Public Welfare Industry (meteorology) (GYHY201306024) and a Project Funded by the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions. Helpful comments from the anonymous reviewers are greatly appreciated.
- Carril A, Menendez C, Remedio A, Robledo F, Sorensson A, Tencer B, Boulanger JP, de Castro M, Jacob D, Le Treut H, Li L, Penalba O, Pfeifer S, Rusticucci M, Salio P, Samuelsson P, Sanchez E, Zaninelli P (2012) Assessment of a multi-RCM ensemble for South America. Clim Dyn 39:2747–2768CrossRefGoogle Scholar
- Dong M, Wu T, Wang Z (2013) Simulation of the precipitation and its variation during the 20th century using the bcc climate model (BCC_CSM1.0). J Appl Meteorol Sci 24(1):1–11 (in Chinese) Google Scholar
- Flato et al (2013) IPCC AR5 Chapter 9: Evaluation of climate modelsGoogle Scholar
- Gao XJ, Shi Y, Giorgi F (2010) A high resolution simulation of climate change over China. Sci China Earth Sci 40(7):911–922 (in Chinese) Google Scholar
- Gao XJ, Shi Y, Zhang DF (2012a) Climate change in China in the 21st century as simulated by a high resolution regional climate model. Chin Sci Bull 57:374–381 (in Chinese) Google Scholar
- Giorgi F, Jones C, Asrar GR (2009) Addressing climate information needs at the regional level: the CORDEX framework. WMO Bull 58(3):175–183Google Scholar
- Solman S, Sanchez E, Samuelsson P, da Rocha R, Li L, Marengo J, Pessacg N, Remedio ARC, Chou SC, Berbery H, Le Treut H, de Castroand M, Jacob D (2013) Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-interim reanalysis: model performance and uncertainties. Clim Dyn 41:1139–1157CrossRefGoogle Scholar
- Wang S, Yu E (2013) Dynamical downscaling simulation over China using the nested MIROC/WRF model. Clim Environ Res 18(6):681–692 (in Chinese) Google Scholar
- Yang H, Jiang ZH, Li L (2015) Simulation of the East Asian summer climate with a variable resolution model LMDZ4. Transactions of Atmospheric Sciences (in press) (in Chinese) Google Scholar
- Zhang D, Shi Y (2012) Numerical simulation of climate changes over North China by the RegCM3 model. Chin J Geophys 55(9):2854–2866 (in Chinese) Google Scholar