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中心成员

田向军
邮件:tianxj@mail.iap.ac.cn
电话:86-10-82995306
传真:86-10-82995123
通信:中国科学院大气物理研究所ICCES,100029
成员分类:科研人员

【个人简历】

2014.01-今:中国科学院大气物理研究所,研究员,主要从事数据同化方法研发、碳循环数据同化、数据同化系统的构建以及陆气耦合数据同化等方面的研究工作;2010.01—2013.12:中国科学院大气物理研究所,副研究员,主要从事数据同化方法研发、碳循环数据同化、数据同化系统的构建以及陆气耦合数据同化等方面的研究工作;2006.12—2007.03:美国国家大气科学研究中心,访问学者,主要从事陆面水文模拟以及强迫数据改进的工作;2006.09—2010.01:中国科学院大气物理研究所,助理研究员,主要从事陆面数据同化等方面的研究工作;2003—2006年:博士研究生, 中国科学院大气物理研究所, 2006年获得博士学位;2000—2003年:硕士研究生,首都师范大学数学系, 2003年获得硕士学位;1996—2000年:大学本科, 首都师范大学数学系,2000年获得学士学位。2010 年获得“谢义炳青年气象科技奖”一等奖;2011 年获得“中国科学院卢嘉锡青年人才奖”;2011年入选中国科学院知识创新工程青年人才类重要方向性项目,同年成为中国科学院青年促进会成员,中国科学院大气物理研究所青年科学家实验室首届成员;现为中国计算数学学会常务理事, 中国气象学会水文气象学委员会委员。

 

 

【主要研究方向】

数据同化方法研发、中小尺度同化、碳循环模拟与同化、陆面过程模式发展与同化

 

 

【主要科研项目】

1.国家高技术研究发展计划(863计划)项目“基于碳卫星的遥感定量监测应用技术研究”(项目号:2013AA122000),2013.03-2015.12,2214万,项目首席科学家

2.国家高技术研究发展计划(863计划)课题“多同化算法的土壤温、湿度同化系统”(批准号为:2009AA12Z129), 2009.01-2010.12,66万,已结题, 负责人;

3.国家自然科学基金面上项目“基于Bayesian模型平均观测算子的陆面数据同化与参数率定系统”(项目号:41075076),2011.01-2013.12,52万,已结题,主持人;

4.国家自然科学基金青年基金项目“地下水位变化对气候影响的数值模拟研究”(项目号:40705035),2008.01-2010.12,19万,已结题,主持人;

5.中国科学院知识创新工程青年人才类重要方向项目“基于混合四维数据同化方法及多观测算子的陆面数据同化与参数率定系统”,2011-2013,60万,已结题,负责人;

 

 

【主要研究成果】目前主要从事资料同化方法发展、陆面数据同化发展、同化系统构建以及陆气耦合模式发展的研究工作:发展了一类基于本征正交分解和蒙特卡洛思想相结合的显式四维变分同化方法与参数率定方法; 建立了中国科学院大气物理研究所全球陆面数据同化系统。2010年获得“谢义炳青年气象科技奖”一等奖,2011年获中国科学院卢嘉锡青年人才奖, 2011年入选中国科学院知识创新工程青年人才类重要方向性项目。

 

 

【代表论文专著】

 

英文文章:

1.Tian, X., and Feng X., 2015. A non-linear least squares enhanced POD-4DVar algorithm for data assimilation, Tellus A, 67, 25340, http://www.tellusa.net/index.php/tellusa/article/view/25340.(SCI)

2.Zhang, B., Tian, X., Sun, J. and co-authors. 2014. PODEn4DVar-based radar data assimilation scheme: formulation and preliminary results from real-data experiments with advanced research WRF (ARW). Tellus A. 67, 26045, DOI: 10.3402/tellusa.v67.26045. (SCI)

3. Tian, X., Z. Xie, Y. Liu, Z. Cai, Y. Fu, H. Zhang, and L. Feng, 2014. A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations, Atmos. Chem. Phys., 14, 13281–13293, www.atmos-chem-phys.net/14/13281/2014/ doi:10.5194/acp-14-13281-2014.(SCI)

4.Tian, X., Z. Xie, Y. Liu, Z. Cai, Y. Fu, and H. Zhang, 2014. The Chinese carbon cycle data-assimilation system (Tan-Tracker), Chin. Sci. Bull., 59(14):1541–1546, DOI 10.1007/s11434-014-0238-1.(SCI)

5.Tian, X., Xie Z H, Wang A H, et al. 2012. A new approach for Bayesian model averaging. Sci China Earth Sci, 55: 1336–1344, doi: 10.1007/ s11430-011-4307-x(SCI)

6.Tian, X., Xie Z,. 2012. Implementations of a square-root ensemble analysis and a hybrid localization into the POD-based ensemble 4DVar. Tellus-A .64A, http://dx.doi.org/10.3402/tellusa.v64i0.18375 (SCI)

7. Tian, X., Xie Z, Sun Q., 2011. A POD-based ensemble four dimensional variational assimilation method. Tellus-A 63A:805-816. (SCI)

8.Tian, X., Z. Xie, A. Dai, B. Jia, and C. Shi, 2010. A microwave land data assimilation system: Scheme and preliminary evaluation over China, J. Geophys. Res., 115, D21113, doi:10.1029/2010JD014370. (SCI)

9.Tian, X., Z. Xie, and A. Dai, 2010. An ensemble conditional nonlinear optimal perturbation approach: Formulation and applications to parameter calibration, Water Resour. Res., 46, W09540, doi:10.1029/2009WR008508. (SCI)

10.Tian, X., Z. Xie, A. Dai, C. Shi, B. Jia, F. Chen, and K. Yang, 2009. A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature, J. Geophys. Res., 114, D16102, doi:10.1029/2008JD011600. (SCI)

11. Sun Q, Xie, Z., Tian, X., 2014. GRACE terrestrial water storage data assimilation based on the ensemble four-dimensional variational method PODEn4DVar: Method and validation. Science China: Earth Sciences, doi: 10.1007/s11430-014-4978-1. (SCI)

12.Pan, X., Tian, X., X. Li, Z. Xie, A. Shao, and C. Lu. 2012. Assimilating Doppler radar radial velocity and reflectivity observations in the weather research and forecasting model by a proper orthogonal-decomposition-based ensemble, three-dimensional variational assimilation method, J. Geophys. Res., 117, D17113, doi:10.1029/2012JD017684. (SCI)

13.Tian, X., 2014. A local implementation of the POD-based ensemble 4DVar with R-localization, Atmos. Oceanic Sci. Lett., 7, 11‒16, doi:10.3878/j.issn. 1674-2834.13.0046.(CSCD)

14.Tian, X., Z., Xie, and A. Dai, 2008. An ensemble-based explicit four-dimensional variational assimilation method, J. Geophys. Res., 113, D21124, doi:10.1029/2008JD010358. (SCI)

15.Tian, X., and Z. Xie, 2008. A land surface soil moisture data assimilation framework in consideration of the model subgrid-scale heterogeneity and soil water thawing and freezing, Science in China (D), 51(7),992-1000.(SCI)

16.Tian, X., Z. Xie, and A. Dai, 2008. A land surface soil moisture data assimilation system based on the dual-UKF method and the Community Land Model, J. Geophys. Res., 113, D14127, doi:10.1029/2007JD009650.(SCI)

17. Tian, X., and Z. Xie, 2009. Effects of sample density on the performance of an explicit four-dimensional variational data assimilation method, Science in China (D), 52(11),1849-1856.(SCI)

18.Tian, X., and Z. Xie, 2009. An explicit four-dimensional variational data assimilation method based on the proper orthogonal decomposition: theoretics and evaluation, Science in China (D), 52(2),279-286.(SCI)

19.Wang, J., Tian, X.,and Y. Fu, 2014. Model simulated atmospheric carbon dioxide: Comparisons with satellite retrievals and ground-based observations, Atmos. Oceanic Sci. Lett., 7, 481–486, doi:10.3878/AOSL20140022.(CSCD)

20.Tian, X., Z. Xie, Z. Luo, J. Zhu, 2004. Nonlinear Galerkin Mixed Element Methods for Non-stationary Problem (III): Time Second Order Accuracy Fully Discrete Format, Chinese J.Num. Math & Appl, 26:4,1-22. .(CSCD)

21. Tian, X., Z. Xie, S. Zhang, M. Liang, 2006. A subsurface runoff parameterization with water storage and recharge based on the Boussinesq-Storage equation for a land surface model, Science in China (Series D), 49, 622-631. (SCI)

22.Tian, X., A. Dai, D. Yang, and Z. Xie, 2007. Effects of precipitation-bias corrections on surface hydrology over northern latitudes, J. Geophys. Res., 112, D14101, doi:10.1029/2007JD008420. (SCI)

23.Yuan, X., Z. Xie, J. Zheng, Tian, X., and Z. Yang, 2008. Effects of water table dynamics on regional climate: A case study over east Asian monsoon area, J. Geophys. Res., 113, D21112, doi:10.1029/2008JD010180. (SCI)

24.Jia B., Xie Z., Tian, X., Shi C., 2009. A soil moisture assimilation scheme based on ensemble Kalman filter using microwave brightness temperature, Science in China (D), doi: 10.1007/s11430 -009-00122-z. (SCI)

25. Tian, X., and Z., Xie, 2009. An ensemble-based three-dimensional variational assimilation method for land data assimilation, Atmos. Oceanic Sci. Lett., 2, 125−129. (CSCD)

26. Di Z H, Xie Z H, Yuan X, Tian, X., et al., 2011. Prediction of water table depths under soil water-groundwater interaction and stream water conveyance. Sci China Earth Sci, 54: 420–430, doi: 10.1007/s11430-010-4050-8(SCI)

27.Wang A., Li J., Di Z., Tian, X., and Xi, D., 2011. A New Reduced Stabilized Mixed Finite-Element Method Based on Proper Orthogonal Decomposition for the Transient Navier-Stokes Equations, Mathematical Problems in Engineering, Volume 2011, Article ID 895386, 19 pages, doi:10.1155/2011/895386. (SCI)

28. Jia, B., Tian, X., Z. Xie, J. Liu, and C. Shi, 2013. Assimilation of microwave brightness temperature in a land data assimilation system with multi-observation operators, J. Geophys. Res. Atmos., 118, 3972–3985, doi:10.1002/jgrd.50377. (SCI)

29.Liu J.-G., Z.-H. Xie, B.-H. Jia, Tian, X., et al., 2013. The long-term field experiment observatory and preliminary analysis of land-atmosphere interactions over Hilly zone in the subtropical Monsoon region of Southern China, Atmos. Oceanic Sci. Lett., 6(4), 203−209. (CSCD)

30. Xie, Z., Zeng N., Wang, H., Lin, Z., Tian, X., and Jia, B., 2014. Past, present and future of the carbon cycle, National Science Review, 00: 1–4, 2014, doi: 10.1093/nsr/nwt021.

31.Wang, A., Xie, Z., Feng, X., Tian, X., and Qin, P., 2014. A soil water and heat transfer model including changes in soil frost and thaw fronts. Science China: Earth Sciences, 57: 1325–1339, doi: 10.1007/s11430-013-4785-0(SCI)

32. Z. Peng, M. Zhang, X. Kou, X. Tian, and X. Ma. 2015. A regional carbon data assimilation system and its preliminary evaluation in East Asia, Atmos. Chem. Phys., 15, 1087–1104, www.atmos-chem-phys.net/15/1087/2015/, doi:10.5194/acp-15-1087-2015. (SCI)

 

 

中文文章:

1.田向军、谢正辉、张生雷、梁妙玲(2006),基于Boussinesq-storage方程同时考虑水文储存和入渗的地下径流机制,中国科学(D),36(4),375-384. (CSCD)

2. 田向军、谢正辉 (2008), 考虑次网格变异性和土壤冻融的土壤湿度同化方案,中国科学(D),38(5),1-9 .(CSCD)

3. 田向军、谢正辉(2009),基于本征正交分解的显式四维变分同化方法:理论与验证,中国科学(D),39(4),529-536. (CSCD)

4. 贾炳浩、谢正辉、田向军、师春香(2010),基于微波亮温及Kalman滤波的土壤湿度同化方法,中国科学(D),40(2),239-251 .(CSCD)

5. 狄振华, 谢正辉, 罗振东, 袁星, 田向军, 陈亚宁(2010), 河流输水条件下考虑土壤水和地下水相互作用的地下水埋深估计方法, 中国科学(D),印刷中. (CSCD)

6. 田向军、谢正辉、罗振东、朱江: 非定常的热传导—对流问题的非线性Galerkin混合元法(III). 时间二阶精度的全离散化格式. 计算数学, 2004, 26 (3): 258-284. (CSCD)

7. 张生雷、谢正辉,田向军,师春香,陈锋(2006),基于土壤水模型及站点资料的土壤湿度同化方法,地球科学进展,21(12),1350-1362. (CSCD)

8. 罗振东,田向军等(2001), 水流及其通量的数值模拟, 首都师范大学学报(自然科学版), 22(1),  19-25. (CSCD)

 

【主要获奖】

1.2010 年获得“谢义炳青年气象科技奖”一等奖;

2.2011 年获得“中国科学院卢嘉锡青年人才奖”;