副研究员

赵娜

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  赵娜,山东济南人,理学博士。现任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,副研究员。主要从事地理空间分析与建模、气候要素模拟与气候变化分析等研究。先后主持两项国家自然科学基金项目、参与多项国家自然科学基金、国际合作项目及中国科学院项目课题。目前已发表论文69篇,其中SCI论文42篇;授权国家发明专利2项,软件著作权2部;参与编写中英文专著5部。  

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,获地图学与地理信息系统专业理学博士; 

   2008-2011 中国海洋大学,获计算数学专业理学硕士; 

   2004-2008 济南大学,获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

研究方向: 

      资源环境模型与系统模拟,气候变化与模拟,数值算法。 

研究领域:

    地理时空分析与建模   

主持及参与项目:

  1).国家自然科学基金青年基金,项目名称:融合多源多尺度数据的降水空间分布模拟研究,201801-202012, 主持。

  2)国家自然科学基金委应急专项项目,项目名称:大规模曲面建模方法研究及其动态实现,2016.01-2016.12, 主持。

  3).国家自然科学基金委创新群体项目,项目名称:城市时空大数据质量的若干问题研究,2015.1-2020.12,参与。

  4).国家自然科学基金重点支持项目,项目名称:黑河上游植被及其环境要素空间插值及动态模拟分析,2016.03-2017.12, 参与。

  5)中国科学院前沿科学重点研究项目,课题名称:全空间下城镇化对区域气候的影响研究,201601-202012,参与。

  6).国家自然科学基金重点项目,项目名称:HASM全局预测能力证明及地表要素高精度曲面动态建模,202001-2024/12,参与。

主要代表性论文:

  1) Zhao Na*, Jiao Yimeng, Ma Ting, et al. Estimating the effect of urbanzaition on extreme climate events in the Beijign-Tianjin-Hebei region, China. Science of The Total Environment. 2019, 688: 1005-1015.

  2) Na Zhao, Tianxiang Yue, Han Li, et al. Spatio-temporal changes in precipitation over   a Beijing-Tianjin-Hebei region, China. Atmospheric Research, 2018,202:156-168.

  3) 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, 2018,38(8): 3309-3322.

  4) 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(8): 1078-1087.

  5) 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.

  6) 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.

  7) Na Zhao, Tianxiang Yue. A convergence criterion for a high accuracy surface modelling method. Applied Mathematical Modeling. 2016, 40,9615-9623.

  8) 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.

  9) 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.

  10) Na Zhao, Tianxiang Yue. A modification of HASM for interpolating precipitation in China. Theoretical and Applied Climatology, 2014,116:273-285.

  11) 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.

  12) TianXiangYue, LiLi Zhang, Na Zhao*, et al. A Review of Recent Developments in HASM. Environmental Earth Sciences. 2015, 74(8), 6541-6549.

  13) 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.

  14) 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.

  15) TianXiangYue, Bing Xu, Na Zhao *, et al. Thematic Issue: Environment and Health in China—I. Environmental Earth Sciences. 2015, 74(8), 6361-6365.

  16) Ma Ting, Zhao Na, Ni Yong, et al. China’s improving inland surface water quality since 2003. Science Advances, 2020, 6, eaau3798.

  17) Yue Tianxiang, Zhao Na, Fan Zemeng, et al. Methods for simulating climate scenarios with improved spatiotemporal specificity and less uncertainty. Global and Planetary Change, 2019, 181: 102973.

  18) 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.

  19) 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.

  20) 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.

  21) 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.

  22) Zhao Miaomiao, Yang Jilin, Zhao Na, et al., Estimation of China’s forest stand biomass carbon sequestration based on the continuous biomass expansion factor model. Forest ecology and Management, 448: 528-534.

  23) 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.

  24) 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.

  25) 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.

  26) Chuanfa Chen, Yanyan Li, Na Zhao, et al. 2017. A fast and robust interpolation filter for airborne lidar point clouds. Plos One. Doi:PONE-D-16-44330R

  27) MingWei Zhao, TianXiangYue, Na Zhao, et al. Parallel algorithm of a modified HASM and its application in DEM construction. Environmental Earth Sciences . 2015, 74(8), 6551-6561.

  28) Ming-Wei Zhao, Tian-Xiang Yue, Na Zhao, Xiao-Fang Sun. Combining LPJ-GUESS and HASM to simulate spatial distribution of forest vegetation carbon stock in China. Journal of Geographical Sciences, 2014, 24(2): 249-258.

研究生招生培养

  招生专业:地图学与地理信息系统

  招生方向:时空数据分析;气候变化与模拟

  欢迎具有地理信息科学、气象学、计算机、空间统计学科学背景的同学联系推免或报考研究生。

联系方式:

    通信地址:北京市朝阳区大屯路甲11号中国科学院地理科学与资源研究所

  邮  编:100101

  办公电话: 010-64889847,手机号:18801097315

    E – mail: zhaon@lreis.ac.cn