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个人简介

教育经历 2011-2014 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,地图学与地理信息系统专业,理学博士; 2008-2011 中国海洋大学,计算数学专业,理学硕士; 2004-2008 济南大学,信息与计算科学专业,理学学士。 工作经历 2014.07-2017.12 中国科学院地理科学与资源研究所,助理研究员 2018.01-至今 中国科学院地理科学与资源研究所,副研究员

研究领域

时空数据分析,资源环境模型与系统模拟,气候变化与模拟等

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1) Na Zhao, Tianxiang Yue, Han Li, et al. Spatio-temporal changes in precipitation over Beijing-Tianjin-Hebei region, China. Atmospheric Research, 2018,202:156-168. 2) Na Zhao, Tianxiang Yue, Chuanfa Chen, et al. An improved statistical downscaling scheme of Tropical Rainfall Measuring Mission precipitation in the Heihe River basin, China. International Journal of Climatology, 2018,3,doi:10.1002/joc.5502. 3) Na Zhao, Tianxiang Yue, Chuanfa Chen, et al. An improved HASM method for dealing with large spatial data sets. SCIENCE CHINA Earth Sciences. 2018, 61, http://doi.org/10.1007/s11430-017-9205-1. 4) Na Zhao, Tianxiang Yue, Xun Zhou, et al. Statistical downscaling of precipitation using local regression and high accuracy surface modeling method. Theoretical and Applied Climatology. 2017, 1: 1-12. 5) Na Zhao, Ning Lu, Chuanfa Chen, Tianxiang Yue, et al. Mapping temperature using Bayesian statistical method and high accuracy surface method. Meteorological Applications. 2017,24: 571-579. 5) Na Zhao, Tianxiang Yue. A convergence criterion for a high accuracy surface modelling method. Applied Mathematical Modeling. 2016, 40,9615-9623. 6) Na Zhao, ChuanFa Chen, Xun Zhou, TianXiangYue. A comparison of two downscaling methods for precipitation in China. Environmental Earth Sciences. 2015,74(8), 6563-6569. 7) Na Zhao, Tiangxiang Yue, Mingwei Zhao, Zhengping Du, Zemeng Fan, Chuanfa Chen. Sensitivity studies of a high accuracy surface modeling method. SCIENCE CHINA Earth Sciences. 2014, 57(1):1-11. 8) Na Zhao, Tianxiang Yue. A modification of HASM for interpolating precipitation in China. Theoretical and Applied Climatology, 2014,116:273-285. 9) Wang ChenLiang, Na Zhao*, TianXiangYue, et al. Change trend of monthly precipitation in China with an improved surface modeling method. Environmental Earth Sciences. 2015, 74(8) 6459-6469. 10) TianXiangYue, LiLi Zhang, Na Zhao*, et al. A Review of Recent Developments in HASM. Environmental Earth Sciences. 2015, 74(8), 6541-6549. 11) Xin-Guo Liu and Na Zhao*. A note on the distance bound for pseudospectra of matrix polynomials. Applied Mathematics Letters. 2010, 23(9): 1082-1086. 12) Xin-Guo Liu and Na Zhao*. Linearization estimates of the backward errors for least squares problems. Numerical Linear Algebra with Applications. 2012, 19(6): 954-969. 13) TianXiangYue, Bing Xu, Na Zhao *, et al. Thematic Issue: Environment and Health in China—I. Environmental Earth Sciences. 2015, 74(8), 6361-6365. 14) Yue TX, Zhao N, Fan ZM, Li J, Chen CF, Lu YM, Wang CL, Xu B, Wilson J. CMIP5 Downscaling and Its Uncertainty in China. Global and Planetary Change. 2016, 146,30-37. 15) ChuanFa Chen, Na Zhao, YanYan Li, et al. The generation of inverse distance weighting method and its application to surface modeling. Arabian Journal of Geosciences . 2015, 8, 6623-6633. 16) Tianxiang Yue, Na Zhao, R. Douglas Ramsey, Chenliang Wang, Zemeng Fan, Chuanfa Chen, Bailian Li. Climate change trend in China, with improved accuracy. Climatic Change, 2013, 120:137-151. 17) Tianxiang Yue, Na Zhao, Hai Yang, Yinjun Song, Zhengping Du, Zemeng Fan, Dunjiang Song. A multi-Grid method of high accuracy surface modeling and its validation.Transaction in GIS,2013, 17(6): 943-952. 18) Chuanfa Chen, Yanyan Li, Na Zhao, et al. Least squares compactly supported radial basis function for digital terrain model interpolation from airborne lidar point clouds. Remote Sensing. 2018,10(587),doi:10.3390/rs10040587. 19) Chuanfa Chen, Yanyan Li, Na Zhao, et al. Robust interpolation of DEMs from Lidar-derived elevation data. IEEE Transactions on Geoscience and Remote Sensing. 2018,56(2):1059-1068. 20) Chuanfa Chen, Changqing Yan, Na Zhao, Guolin Liu. 2016. A robust algorithm of support vector regression with a trimmed Huber loss function in the primal. Soft Computing. 1-9. doi: 10.1007/s00500-016-2229-4.

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