2. Yanluan Lin*, Dianbin Cao, Namei Lin, Wei Xue,Shiming Xu, Yangyang Zhao, Heng Lin,and Bin Huang.Characteristics and simulation biases of corkscrew sea breezes on the east coast of China, Journal of Geophysical Research – Atmosphere, in revision.
Lu Zhou,Shiming Xu*, Jiping Liu and Bin Wang. 2018.On the Retrieval of Sea Ice Thickness and Snow Depth using Concurrent Laser Altimetry and L-Band Remote Sensing Data, The Cryosphere, 12, 993–1012,https://doi.org/10.5194/tc-12-993-2018.
Chengwei Li, Hui Lu*, Kun Yang, Menglei Han, Jonathon S. Wright, Yingying Chen, Le Yu, Shiming Xu, Xiaomeng Huang, Wei Gong. 2018.Evaluation of SMAP Enhanced Soil Moisture Products using High-Resolution Model Simulations and In-Situ Observations on the Tibetan Plateau, Remote Sensing, 2018, 10(4), 535, doi:10.3390/rs10040535.
Zhenya Song*, Nan Ding,Shiming Xu, Baoquan Zhang, Jingmei Li and Zhigao Zheng. 2018. Using Hardware Counters-based Performance Model to Diagnose Scaling Issues of HPC Applications, Neural Compiuting and Applications, accepted.
Yi Qin, Yanluan Lin*,Shiming Xu, Hsi-Yen Ma and Shaocheng Xie. 2018.A diagnostic PDF cloud scheme to improve subtropical low clouds in NCAR Community Atmosphere Model (CAM5), Journal of Advances in Modeling Earth Systems, 10, 320–341, doi:10.1002/2017MS001095.
Nan Ding, Wei Xue*, Zhenya Song, Haohuan Fu,Shiming Xuand Weimin Zheng.2018.An Automatic Performance Model-based Scheduling Tool for Coupled Climate System Models, Journal of Parallel and Distributed Computing, doi:10.1016/j.jpdc.2018.01.002.
Juanjuan Liu, Bin Wang*, Li Liu,Shiming Xuand Wenyu Huang. 2018.An approach to localization for ensemble-based data assimilation, PLOS One, 13(1):e0191088, doi:10.1371/journal.pone.0191088.
Feng Xie, Wei Xue, Lijuan Li*, Tao Zhang, Bin Wang andShiming Xu. 2017.Quantification of theresponses of equatorial Pacific surface wind to uncertain cloud-related parameters in GAMIL2, Atmospheric Science Letters, 18(12), 458-465, doi:10.1002/asl.789.
Shiming Xu*, Lu Zhou, Jiping Liu, Hui Lu and Bin Wang. 2017.Data synergy between altimetry and L-band passive microwave remote sensing for the retrieval of sea ice parameters - a theoretical study of methodology, Remote Sensing, 9(10):1079, doi:10.3390/rs9101079.
Lu Zhou,Shiming Xu*, Jiping Liu, Hui Lu and Bin Wang. 2017.Improving L-band radiation model and representation of small-scale variability to simulate brightness temperature of sea ice. International Journal of Remote Sensing, 38:23, 7070-7084, doi:10.1080/01431161.2017.1371862.
Zhiqiang Chen*, Jiping Liu*, Mirong Song, Qinghua Yang andShiming Xu. 2017.Impacts of assimilating satellite sea ice concentration and thickness on Arctic sea ice prediction in the NCEP climate forecast system. Journal of Climate, 30, 8429-8446, https://doi.org/10.1175/JCLI-D-17-0093.1
Yujun He, Bin Wang*, Mimi Liu, Li Liu, Yongqiang Yu, Juanjuan Liu, Ruizhe Li, Cheng Zhang, Shiming Xu, Wenyu Huang, Qun Liu, Yong Wang and Feifei Li. 2017.Reduction of initial shock in decadal predictions using a new initialization strategy. Geophysical Research Letters, 44, doi:10.1002/2017GL074028.
Chengwei Li, Hui Lu*, Kun Yang, Jonathon S. Wright, Le Yu, Yingying Chen, Xiaomeng Huang andShiming Xu. 2017.Evaluation of the Common Land Model (CoLM) from the perspective of water and energy budget simulation: towards inclusion in CMIP6. Atmosphere, 8(8), 141, doi:10.3390/atmos8080141.
Xiaonan Liu, Jialiang Ma,Shiming Xu* and Bin Wang. 2017.On the generation of coastline-following grids for ocean models—trade-off between orthogonality and alignment to coastlines. Ocean Dynamics, 67(8), 1095-1104, doi:10.1007/s10236-017-1075-y.
Guangliang Fu*, Hai Xiang Lin, Arnold Heemink, Sha Lu, Arjo Segers, Nils van Velzen, Tongchao Lu andShiming Xu. 2017.Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: a case study with the LOTOS-EUROS model (version 1.10), Geoscientific Model Development, 10, pp. 1751-1766, doi:10.5194/gmd-10-1751-2017.
Shiming Xu*, Bin Wang and Jiping Liu. 2015.On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models, Geoscientific Model Development, 8, pp. 3471-3485, doi:10.5194/gmd-8-3471-2015.
Shiming Xu, Mirong Song, Jiping Liu, Bin Wang*, Lijuan Li, Wenyu Huang, Li Liu, Kun Xia, Wei Xue, Ye Pu, Li Dong, Si Shen, Ning Hu, Mimi Liu and Wenqi Sun. 2013.Simulation of Sea Ice in FGOALS-g2 – Climatology and Late 20th Century Changes, Advances in Atmospheric Sciences, 30(3), pp. 658-673.
Lijuan Li, Pengfei Lin, Yongqiang Yu, Bin Wang*, Tianjun Zhou, Li Liu, Jiping Liu, Qing Bao,Shiming Xu, Wenyu Huang, Kun Xia, Ye Pu, Li Dong, Si Shen, Yimin Liu, Ning Hu, Mimi Liu, Wenqi Sun, Xiangjun Shi, Weipeng Zheng, Bo Wu, Mirong Song, Hailong Liu, Xuehong Zhang, Guoxiong Wu, Wei Xue, Xiaomeng Huang, Guangwen Yang, Zhenya Song and Fangli Qiao. 2013.The flexible global ocean-atmosphere-land system model, Grid-point Version 2: FGOALS-g2, Advances in Atmospheric Sciences, 30(3), pp. 543-560.
Bin Wang*, Mimi Liu, Yongqiang Yu, Lijuan Li, Pengfei Lin, Li Dong, Li Liu, Jiping Liu, Wenyu Huang,Shiming Xu, Si Shen, Ye Pu, Wei Xue, Kun Xia, Yong Wang, Wenqi Sun, Ning Hu, Xiaomeng Huang, Hailong Liu, Weipeng Zheng, Bo Wu, Tianjun Zhou and Guangwen Yang. 2013.Preliminary evaluations of FGOALS-g2 for decadal predictions, Advances in Atmospheric Sciences, 30(3), pp. 674-683.
Kun Xia, Bin Wang*, Lijuan Li, Si Shen, Wenyu Huang,Shiming Xu, Li Dong and Li Liu. 2013.Evaluation of snow depth and snow cover fraction by two versions of the Flexible Global Ocean-Atmosphere-Land System model, Advances in Atmospheric Sciences, 31(2), pp. 407-420.
Wenyu Huang, Bin Wang*, Lijuan Li, Li Dong, Pengfei Lin, Tianjun Zhou, Li Liu,Shiming Xu, Kun Xia, Ye Pu, Lu Wang, Mimi Liu, Si Shen, Ning Hu, Yong Wang, Wenqi Sun, Fang Dong. 2013.Variability of Atlantic Meridional Overturning Circulation in FGOALS-g2, Advances in Atmospheric Sciences, 31(1), pp. 95-109.
Shiming Xu*, Wei Xue, and Hai Xiang Lin. 2013.Performance modeling and optimization of sparse matrix-vector multiplication on NVIDIA CUDA platform. Journal of Supercomputing, 63, pp. 710–721, doi:10.1007/s11227-011-0626-0.
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