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Dynamical downscaling of regional climate over eastern China using RSM with multiple physics scheme ensembles

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Abstract

The parameterization of physical processes is one of the critical elements to properly simulate the regional climate over eastern China. It is essential to conduct detailed analyses on the effect of physical parameterization schemes on regional climate simulation, to provide more reliable regional climate change information. In this paper, we evaluate the 25-year (1983–2007) summer monsoon climate characteristics of precipitation and surface air temperature by using the regional spectral model (RSM) with different physical schemes. The ensemble results using the reliability ensemble averaging (REA) method are also assessed. The result shows that the RSM model has the capacity to reproduce the spatial patterns, the variations, and the temporal tendency of surface air temperature and precipitation over eastern China. And it tends to predict better climatology characteristics over the Yangtze River basin and the South China. The impact of different physical schemes on RSM simulations is also investigated. Generally, the CLD3 cloud water prediction scheme tends to produce larger precipitation because of its overestimation of the low-level moisture. The systematic biases derived from the KF2 cumulus scheme are larger than those from the RAS scheme. The scale-selective bias correction (SSBC) method improves the simulation of the temporal and spatial characteristics of surface air temperature and precipitation and advances the circulation simulation capacity. The REA ensemble results show significant improvement in simulating temperature and precipitation distribution, which have much higher correlation coefficient and lower root mean square error. The REA result of selected experiments is better than that of nonselected experiments, indicating the necessity of choosing better ensemble samples for ensemble.

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Acknowledgments

The research is supported by the National Natural Science Foundation of China (41375075, 91425304, 41405047 and 41575099) and the Jiangsu Collaborative Innovation Center for Climate Change. The authors also like to express their gratitude to the following projects or data centers: Asian Precipitation–Highly Resolved Observational Data Integration Toward Evaluation of the Water Resources (APHRODITE) project (http://www.chikyu.ac.jp/precip/index.html) for providing the observed datasets, the NCAR/DOE Reanalysis Project (NNRP2, http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/) for providing the gridded observation for model simulation and validation. All datasets used in this research are available and can be accessed at rmip.nju.edu.cn.

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Authors and Affiliations

  1. Jiangsu Meteorological Observatory, Nanjing, 210008, China

    Zong Peishu, Xie Lingyun & Yu Jianwei

  2. School of Atmospheric Sciences, Nanjing University, 163 Xianlin Road, Nanjing, China

    Tang Jianping, Wang Shuyu & Niu Xiaorui

  3. Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, 80303, USA

    Zhu Yunqian

  4. Zhejiang Meteorological Observatory, Hangzhou, 310017, China

    Li Chao

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  1. Zong Peishu
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  2. Tang Jianping
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  3. Wang Shuyu
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  4. Xie Lingyun
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  5. Yu Jianwei
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  6. Zhu Yunqian
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  7. Niu Xiaorui
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  8. Li Chao
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Correspondence to Tang Jianping.

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Peishu, Z., Jianping, T., Shuyu, W. et al. Dynamical downscaling of regional climate over eastern China using RSM with multiple physics scheme ensembles. Theor Appl Climatol 129, 1263–1277 (2017). https://doi.org/10.1007/s00704-016-1847-1

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  • DOI: https://doi.org/10.1007/s00704-016-1847-1

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