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Xiaomeng Huang
Professor
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Contact Information:010-62798365
E-Mail:hxm@tsinghua.edu.cn
Discipline:Atmospheric Sciences
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Selected Publications
[61] Huang, X. (*), Tang, Q., Tseng, Y., Hu, Y., Baker, A. H., Bryan, F. O., Dennis, J., Fu, H., and Yang, G. (2016). P-CSI v1.0, an accelerated barotropic solver for the high-resolution ocean model component in the Community Earth System Model v2.0, Geosci. Model Dev., 9, 4209-4225, doi:10.5194/gmd-9-4209-2016, 2016.
[62] Huang, X. (*), Ni, Y., Chen, D., Liu, S., Fu, H. and Yang, G. (2016). Czip: a fast lossless compression algorithm for climate data. International Journal of Parallel Programming, 44(6), 1-20.
[63] Baker, A. H., Hu, Y., Hammerling, D. M., Tseng, Y.-H., Xu, H., Huang, X., Bryan, F. O., and Yang, G.(2016). Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0), Geosci. Model Dev., 9, 2391-2406, doi:10.5194/gmd-9-2391-2016.
[64] Qiao, F., Zhao, W., Yin, X., Huang, X., Liu, X., Shu, Q., Wang, G., Song, Z., Li, X., Liu, H., Yang, G. and Yuan, Y.(2016). A highly effective global surface wave numerical simulation with ultra-high resolution. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016). IEEE Press. November 13-18, Salt Lake City, USA.
[65] Li T., Tian, F., Wang, Y., Wan, W. and Huang, X.(2016). Distinguishing a Hypothetical Abiotic Planet-Moon System from a Single Inhabited Planet. The Astrophysical Journal Letters. 817, L15.
[66] Fu, H., Liao, J., Xue, W., Wang, L., Chen, D., Gu, L., Xu J., Ding, N., Wang, X., He, C., Xu, S., Liang, Y., Fang, J., Xu, Y., Zheng, W., Xu, J., Zheng Z., Wei, W., Ji, X., Zhang, H., Cheng, B., Li, K., Huang, X., Chen, W., and Yang, G. (2016). Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016). IEEE Press, November 13-18, Salt Lake City, USA.
[67] Fu, H., Liao, J., Yang, J., Wang, L., Song, Z., and Huang, X., Yang, C., Xue, W., Liu, F., Qiao, F., Zhao, W., Yin, X., Hou, C., Zhang, C., Ge, W., Zhang, J., Wang, Y., Zhou, C. and Yang, G. (2016). The sunway taihulight supercomputer: system and applications. Science China Information Sciences, 59(7), 1-16.
[68] Wang, X., Wang, G. and Huang X. (2016). The application of scientific big data in the research of global climate change. Climate Change Research, 12(4), 313-321.
[69] Xu, S., Huang, X. (*), Oey, L. Y., Xu, F., Fu, H., Zhang, Y. and Yang, G. (2015). Pom.gpu-v1.0: a gpu-based princeton ocean model. Geoscientific Model Development, 8(9), 2815-2827.
[70] Hu, Y., Huang, X. (*), Baker, A.H., Tseng, Y.H., Bryan, F.O., Dennis, J.M. and Yang, G. (2015). Improving the scalability of the ocean barotropic solver in the community earth system model. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2015). IEEE Press, Austin, TX, USA.
total130 7/13
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