Research Professors
ZHAO Na
Source： | Date：2016-10-10 | 【Print】 【Close】
Associate Professor, Department for Eco-Environmental Informatics, State Key Laboratory of Resources & Environmental Information System, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences (IGSNRR, CAS)
Eduction:
From September 2011 to July 2014: Studied for Doctoral degree in Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences
From September 2008 to July 2011: Studied for Master’s degree in Department of Mathematics, Ocean University of China
From September 2004 to July 2008: Studied for Bachelor degree in Department of Mathematics, University of Jinan
Professional Experience
Since 2017: Has been working as an associate professor at State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences.
From 2014 to 2017: An assistant professor at State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences.
Areas of Specialization: Climate change and simulation/ extreme climate disaster /Spatio-temporal data analysis
Representative Publications
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 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.
Office Address:
IGSNRR,11A Da Tun Road,An Wai,Chaoyang district, Beijing 100101,China
Email: zhaon@lreis.ac.cn
