基本信息
田向军 男 硕导 大气物理研究所
电子邮件:tianxj@mail.iap.ac.cn
通信地址:北京9804信箱
邮政编码:100029

招生信息

   
招生专业
070601-气象学
招生方向


教育背景

2006-06--2006-08 中国科学院大气物理研究所 博士
学历
-- 研究生
学位
-- 博士

工作经历

   
工作简历
2006-08--今 中国科学大气物理研究所 科研

专利与奖励

   
专利成果
[1] 段民征, 汪宜龙, 张子琪, 田向军, 周莹, 朴世龙. 大气垂直分层采样设备及控制方法. CN: CN116429520A, 2023-07-14.
[2] 田向军, 王灿, 张洪芹, 王爱文, 罗银海, 谈艳艳, 武文媗, 赵敏. 用于气象生态环境的数值模拟预报方法及装置. CN: CN116384127A, 2023-07-04.
[3] 张洪芹, 田向军, 金哲. 数值天气预报方法、装置、计算机存储介质及电子设备. CN: CN113568067A, 2021-10-29.
[4] 田向军, 金哲, 张洪芹. 二氧化碳柱浓度的反演方法、装置、存储介质及电子设备. CN: CN111881569B, 2021-02-05.

出版信息

   
发表论文
[1] Yilong Wang, Xiangjun Tian, Minzheng Duan, Dan Zhu, Dan Liu, Hongqin Zhang, Minqiang Zhou, Min Zhao, Zhe Jin, Jinzhi Ding, Tao Wang, Shilong Piao. Optimal design of surface CO2 observation network to constrain China’s land carbon sink. SCIENCE BULLETIN[J]. 2023, 68(15): 1678-1686, http://dx.doi.org/10.1016/j.scib.2023.07.010.
[2] Jin, Zhe, Wang, Tao, Zhang, Hongqin, Wang, Yilong, Ding, Jinzhi, Tian, Xiangjun. Constraint of satellite CO2 retrieval on the global carbon cycle from a Chinese atmospheric inversion system. SCIENCE CHINA-EARTH SCIENCES[J]. 2023, 66(3): 609-618, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7447277&detailType=1.
[3] 金哲, 汪涛, 张洪芹, 汪宜龙, 丁金枝, 田向军. 基于中国大气反演系统的卫星CO_(2)数据同化对全球碳收支的评估. 中国科学:地球科学[J]. 2023, 53(3): 587-597, http://lib.cqvip.com/Qikan/Article/Detail?id=7109220308.
[4] Zhang, Hongqin, Tian, Xiangjun. Integral correction of initial and model errors in system of multigrid NLS-4DVar data assimilation for numerical weather prediction (SNAP). QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY[J]. 2022, 148(746): 2490-2506, http://dx.doi.org/10.1002/qj.4313.
[5] Hongqin Zhang, Xiangjun Tian, Xiaobing Feng. A Mini‐Batch Stochastic Optimization‐Based Adaptive Localization Scheme and Its Implementation in NLS‐i4DVar. EARTH AND SPACE SCIENCE[J]. 2022, 9(8): n/a-n/a, https://doaj.org/article/4a990f6330fd428f84374d8a55ea9997.
[6] Zhe Jin, Tao Wang, Hongqin Zhang, Yilong Wang, Jinzhi Ding, Xiangjun Tian. Constraint of satellite CO2 retrieval on the global carbon cycle from a Chinese atmospheric inversion system. sciencechinaearthsciencesnull. 2022, [7] Tian, Xiangjun, Zhang, Hongqin, Feng, Xiaobing, Li, Xin. i4DVar: An Integral Correcting Four-Dimensional Variational Data Assimilation Method. EARTH AND SPACE SCIENCE[J]. 2021, 8(9): http://dx.doi.org/10.1029/2021EA001767.
[8] Jiang, Fei, Wang, Hengmao, Chen, Jing M, Ju, Weimin, Tian, Xiangjun, Feng, Shuzhuang, Li, Guicai, Chen, Zhuoqi, Zhang, Shupeng, Lu, Xuehe, Liu, Jane, Wang, Haikun, Wang, Jun, He, Wei, Wu, Mousong. Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System. ATMOSPHERIC CHEMISTRY AND PHYSICS[J]. 2021, 21(3): 1963-1985, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000618972400008.
[9] Zhang, Hongqin, Tian, Xiangjun. Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP). JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS[J]. 2021, 13(7): http://dx.doi.org/10.1029/2020MS002407.
[10] Zhang, Shan, Tian, Xiangjun, Zhang, Hongqin, Han, Xiao, Zhang, Meigen. A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation. ATMOSPHERIC POLLUTION RESEARCH[J]. 2021, 12(4): 122-132, http://dx.doi.org/10.1016/j.apr.2021.03.003.
[11] Fu, Yu, Liao, Hong, Tian, Xiangjun, Gao, Hao, Jia, Binghao, Han, Rui. Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2021, 126(18): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000702399300011.
[12] Jin, Zhe, Tian, Xiangjun, Duan, Minzheng, Han, Rui. An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method. FRONTIERS IN EARTH SCIENCE[J]. 2021, 9: http://dx.doi.org/10.3389/feart.2021.688542.
[13] Zhang, Lu, Tian, Xiangjun, Zhang, Hongqin, Chen, Feng. Impacts of Multigrid NLS-4DVar-based Doppler Radar Observation Assimilation on Numerical Simulations of Landfalling Typhoon Haikui (2012). ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2020, 37(8): 873-892, http://lib.cqvip.com/Qikan/Article/Detail?id=7102348443.
[14] Dai, Aiguo, Huang, Danqing, Rose, Brian E J, Zhu, Jian, Tian, Xiangjun. Improved methods for estimating equilibrium climate sensitivity from transient warming simulations. CLIMATE DYNAMICS[J]. 2020, 54(11-12): 4515-4543, http://dx.doi.org/10.1007/s00382-020-05242-1.
[15] Zhang, Hongqin, Tian, Xiangjun, Cheng, Wei, Jiang, Lipeng. System of Multigrid Nonlinear Least-squares Four-dimensional Variational Data Assimilation for Numerical Weather Prediction (SNAP): System Formulation and Preliminary Evaluation. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2020, 37(11): 1267-1284, http://lib.cqvip.com/Qikan/Article/Detail?id=7102930415.
[16] Tian, Xiangjun, Han, Rui, Zhang, Hongqin. An Adjoint-Free Alternating Direction Method for Four-Dimensional Variational Data Assimilation With Multiple Parameter Tikhonov Regularization. EARTH AND SPACE SCIENCE[J]. 2020, 7(11): https://doaj.org/article/17f89e7aa0764c91ba54fc6d62f55c23.
[17] Li, Sinan, Zhang, Li, Ma, Rui, Yan, Min, Tian, Xiangjun. Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of US arid and semiarid regions. JOURNAL OF HYDROLOGY[J]. 2020, 590: http://dx.doi.org/10.1016/j.jhydrol.2020.125402.
[18] Tian, Xiangjun, Zhang, Hongqin. A Big Data-Driven Nonlinear Least Squares Four-Dimensional Variational Data Assimilation Method: Theoretical Formulation and Conceptual Evaluation. EARTH AND SPACE SCIENCE[J]. 2019, 6(8): 1430-1439, https://doaj.org/article/a78a8d90a4864662aeb95aeaad31500e.
[19] Xiangjun TIAN, Xiaobing FENG. An Adjoint-Free CNOP–4DVar Hybrid Method for Identifying Sensitive Areas in Targeted Observations: Method Formulation and Preliminary Evaluation. 大气科学进展:英文版[J]. 2019, 721-732, http://lib.cqvip.com/Qikan/Article/Detail?id=68817490504849574855484852.
[20] Fu Yu, Liao Hong, Tian XiangJun, Gao Hao, Cai ZhaoNan, Han Rui. Sensitivity of the simulated CO2 concentration to inter-annual variations of its sources and sinks over East Asia. ADVANCES IN CLIMATE CHANGE RESEARCH[J]. 2019, 10(4): 250-263, http://lib.cqvip.com/Qikan/Article/Detail?id=7102110385.
[21] Tian, Xiangjun, Zhang, Hongqin. Implementation of a Modified Adaptive Covariance Inflation Scheme for the Big Data-Driven NLS-4DVar Algorithm. EARTH AND SPACE SCIENCE[J]. 2019, 6(12): 2593-2604, https://doaj.org/article/17dd13589703422c9c44227bca618adb.
[22] 张珊, 田向军, 陈权亮, 韩锐, 张洪芹, 张璐. 不同陆地生态系统碳通量对GEOS-Chem模型模拟全球CO2浓度的影响. 气候与环境研究[J]. 2019, 24(5): 552-566, http://lib.cqvip.com/Qikan/Article/Detail?id=7100104813.
[23] ZHANG Lu, TIAN Xiangjun, ZHANG Hongqin. Application of multigrid NLS-4DVar in radar radial velocity data assimilation with WRF-ARW. 大气和海洋科学快报:英文版[J]. 2019, 12(6): 409-416, https://doaj.org/article/4f456b2d8c1146df8282d89414707058.
[24] Tian Xiangjun, Feng Xiaobing. An Adjoint-Free CNOP–4DVar Hybrid Method for Identifying Sensitive Areas in Targeted Observations: Method Formulation and Preliminary Evaluation. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2019, 36(7): 721-732, http://lib.cqvip.com/Qikan/Article/Detail?id=68817490504849574855484852.
[25] Shan ZHANG, Xiangjun TIAN. The impacts of modeling global CO2 concentrations with GEOS-Chem using different ocean carbon fluxes. ATMOSPHERIC AND OCEANIC SCIENCE LETTERS[J]. 2019, 12(5): 343-348, http://lib.cqvip.com/Qikan/Article/Detail?id=65798376504849574853484854.
[26] Tian, Xiangjun, Feng, Xiaobing. An Adjoint-Free CNOP-4DVar Hybrid Method for Identifying Sensitive Areas Targeted Observations: Method Formulation and Preliminary Evaluation. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2019, 36(7): 721-732, [27] Xia, Jiangzhou, Yuan, Wenping, Lienert, Sebastian, Joos, Fortunat, Ciais, Philippe, Viovy, Nicolas, Wang, Yingping, Wang, Xufeng, Zhang, Haicheng, Chen, Yang, Tian, Xiangjun. Global Patterns in Net Primary Production Allocation Regulated by Environmental Conditions and Forest Stand Age: A Model-Data Comparison. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES[J]. 2019, 124(7): 2039-2059, http://dx.doi.org/10.1029/2018JG004777.
[28] Zhang, Hongqin, Tian, Xiangjun. A Multigrid Nonlinear Least Squares Four-Dimensional Variational Data Assimilation Scheme With the Advanced Research Weather Research and Forecasting Model. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2018, 123(10): 5116-5129, https://www.webofscience.com/wos/woscc/full-record/WOS:000435445600020.
[29] Zhang, Hongqin, Tian, Xiangjun. An Efficient Local Correlation Matrix Decomposition Approach for the Localization Implementation of Ensemble-Based Assimilation Methods. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2018, 123(7): 3556-3573, https://www.webofscience.com/wos/woscc/full-record/WOS:000430786500013.
[30] Tian, Xiangjun, Zhang, Hongqin, Feng, Xiaobing, Xie, Yuanfu. Nonlinear Least Squares En4DVar to 4DEnVar Methods for Data Assimilation: Formulation, Analysis, and Preliminary Evaluation. MONTHLY WEATHER REVIEW[J]. 2018, 146(1): 77-93, https://www.webofscience.com/wos/woscc/full-record/WOS:000428699000005.
[31] Tian Xiangjun. A Multigrid Nonlinear Least-squares Four-dimensional Variational Data Assimilation Scheme with Advanced Research WRF (ARW).. Journal of Geophysical Research: Atmospheres. 2018, [32] 张斌, 田向军, 张立凤, 孙建华. 基于NLS-4DVar方法的雷达资料同化及其在暴雨预报中的应用. 大气科学[J]. 2017, 41(2): 321-332, http://lib.cqvip.com/Qikan/Article/Detail?id=671632840.
[33] Tian, Xiangjun, Feng, Xiaobing. A nonlinear least-squares-based ensemble method with a penalty strategy for computing the conditional nonlinear optimal perturbations. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY[J]. 2017, 143(703): 641-649, https://www.webofscience.com/wos/woscc/full-record/WOS:000396560600003.
[34] Zhang Bin, Tian XiangJun, Zhang LiFeng, Sun JianHua. Handling non-linearity in radar data assimilation using the non-linear least squares enhanced POD-4DVar. SCIENCE CHINA-EARTH SCIENCES[J]. 2017, 60(3): 478-490, https://www.webofscience.com/wos/woscc/full-record/WOS:000394988300006.
[35] Kou, Xingxia, Tian, Xiangjun, Zhang, Meigen, Peng, Zhen, Zhang, Xiaoling. Accounting for CO2 Variability over East Asia with a Regional Joint Inversion System and Its Preliminary Evaluation. JOURNAL OF METEOROLOGICAL RESEARCH[J]. 2017, 31(5): 834-851, http://lib.cqvip.com/Qikan/Article/Detail?id=81888887504849554853484851.
[36] 张璐, 田向军, 刘宣飞, 师春香. 基于多重网格策略的NLS-3DVar资料融合方法及其在气温数据融合中的应用. 气候与环境研究[J]. 2017, 22(3): 271-288, http://lib.cqvip.com/Qikan/Article/Detail?id=672324824.
[37] Rui Ma, Li Zhang, Xiangjun Tian, Jiancai Zhang, Wenping Yuan, Yi Zheng, Xiang Zhao, Tomomichi Kato. Assimilation of Remotely-Sensed Leaf Area Index into a Dynamic Vegetation Model for Gross Primary Productivity Estimation. REMOTE SENSING[J]. 2017, 9(3): https://doaj.org/article/87e1f47075414d6da90fa39d99b1b303.
[38] 居为民, 方红亮, 田向军, 江飞, 占文凤, 刘洋, 王正兴, 何剑锋, 王绍强, 彭书时, 张永光, 周艳莲, 贾炳浩, 杨东旭, 符瑜, 李荣, 柳竟先, 王海鲲, 李贵才, 陈卓奇. 基于多源卫星遥感的高分辨率全球碳同化系统研究. 2016, http://119.78.100.158/handle/2HF3EXSE/150682.
[39] 居为民, 方红亮, 田向军, 江飞, 占文凤, 刘洋, 王正兴, 何剑锋, 王绍强, 彭书时, 张永光, 周艳莲, 贾炳浩, 杨东旭, 符瑜, 李荣, 柳竟先, 王海鲲, 李贵才, 陈卓奇. 基于多源卫星遥感的高分辨率全球碳同化系统研究. 地球科学进展[J]. 2016, 31(11): 1105-, [40] 田向军, 陈报章, 王雪梅, 张丽, 蔡兆男. 源碳观测数据融合与同化技术研究2014年度报告. 科技资讯[J]. 2016, 14(25): 183-183, http://lib.cqvip.com/Qikan/Article/Detail?id=670629497.
[41] 张洪芹, 田向军, 张承明. 非线性集合四维变分同化方法NLS-4DVar之局地化改进. 中国海洋大学学报(自然科学版)[J]. 2016, 46(10): 10-15, https://d.wanfangdata.com.cn/periodical/qdhydxxb201610002.
[42] Tian, Xiangjun, Feng, Xiaobing, Zhang, Hongqin, Zhang, Bin, Han, Rui. An enhanced ensemble-based method for computing CNOPs using an efficient localization implementation scheme and a two-step optimization strategy: formulation and preliminary tests. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY[J]. 2016, 142(695): 1007-1016, https://www.webofscience.com/wos/woscc/full-record/WOS:000372951300039.
[43] X Ma, X Tian, X Kou, M Zhang, Z Peng. A regional carbon data assimilation system and its preliminary evaluation in East Asia. 2015, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201707072236337ZK.
[44] []. PODEn4DVar-based radar data assimilation scheme: formulation and preliminary results from real-data experiments with advanced research WRF (ARW). 2015, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201707076649064ZK.
[45] ZHANG Hong-Qin, TIAN Xiang-Jun, ZHANG Cheng-Ming. An Economical Approach to Flow-Adaptive Moderation of Spurious Ensemble Correlations and Its Application in the Proper Orthogonal Decomposition-Based Ensemble Four Dimensional Variational Assimilation Method. 大气和海洋科学快报:英文版[J]. 2015, 320-325, http://lib.cqvip.com/Qikan/Article/Detail?id=65798376504849534853484951.
[46] Sun Qin, Xie ZhengHui, Tian XiangJun. GRACE terrestrial water storage data assimilation based on the ensemble four-dimensional variational method PODEn4DVar: Method and validation. SCIENCE CHINA-EARTH SCIENCES[J]. 2015, 58(3): 371-384, https://www.webofscience.com/wos/woscc/full-record/WOS:000349767600005.
[47] Zhang, Bin, Tian, Xiangjun, Sun, Jianhua, Chen, Feng, Zhang, Yuanchun, Zhang, Lifeng, Fu, Shenming. PODEn4DV ar-based radar data assimilation scheme: formulation and preliminary results from real-data experiments with advanced research WRF (ARW). TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY[J]. 2015, 67: https://www.webofscience.com/wos/woscc/full-record/WOS:000349406900001.
[48] 张建财, 张丽, 郑艺, 田向军, 周宇. 基于LPJ模型的中亚地区植被净初级生产力与蒸散模拟. 草业科学[J]. 2015, 32(11): 1721-1729, http://lib.cqvip.com/Qikan/Article/Detail?id=666771839.
[49] Tian, Xiangjun, Feng, Xiaobing. A non-linear least squares enhanced POD-4DVar algorithm for data assimilation. TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY[J]. 2015, 67: https://www.webofscience.com/wos/woscc/full-record/WOS:000348723900001.
[50] Zhang Hongqin, Tian Xiangjun, Zhang Chengming. An Economical Approach to Flow-Adaptive Moderation of Spurious Ensemble Correlations and Its Application in the Proper Orthogonal Decomposition-Based Ensemble Four Dimensional Variational Assimilation Method. 大气和海洋科学快报:英文版[J]. 2015, 320-325, http://lib.cqvip.com/Qikan/Article/Detail?id=65798376504849534853484951.
[51] 王爱文, 谢正辉, , 田向军, 秦佩华. 考虑冻融界面变化的土壤水热耦合模型. 中国科学(地球科学)[J]. 2014, 44(7): 1572-1587, https://d.wanfangdata.com.cn/periodical/zgkx-cd201407019.
[52] 孙琴, 谢正辉, 田向军. 基于集合四维变分方法PODEn4DVar的GRACE陆地水储量同化:方法与验证. 中国科学(地球科学)[J]. 2014, 44(12): 2753-2767, https://d.wanfangdata.com.cn/periodical/zgkx-cd201412014.
[53] WANG Jiang-Nan, TIAN Xiang-Jun, FU Yu. Model-Simulated Atmospheric Carbon Dioxide: Comparisons with Satellite Retrievals and Ground-Based Observations. 大气和海洋科学快报:英文版[J]. 2014, 481-486, http://lib.cqvip.com/Qikan/Article/Detail?id=662779074.
[54] Tian, X, Xie, Z, Liu, Y, Cai, Z, Fu, Y, Zhang, H, Feng, L. A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations. ATMOSPHERIC CHEMISTRY AND PHYSICS[J]. 2014, 14(23): 13281-13293, https://www.webofscience.com/wos/woscc/full-record/WOS:000346140100040.
[55] Xie, Zhenghui, Zeng, Ning, Wang, Huijun, Lin, Zheng, Tian, Xiangjun, Jia, Binghao. Past, present and future of the carbon cycle. NATIONALSCIENCEREVIEW. 2014, 1(1): 18-21, http://lib.cqvip.com/Qikan/Article/Detail?id=78658382504849524849484949.
[56] TIAN Xiang-Jun. A Local Implementation of the POD-Based Ensemble 4DVar with R-Localization. ATMOSPHERIC AND OCEANIC SCIENCE LETTERS[J]. 2014, 11-16, http://lib.cqvip.com/Qikan/Article/Detail?id=49708617.
[57] Tian, Xiangjun, Xie, Zhenghui, Cai, Zhaonan, Liu, Yi, Fu, Yu, Zhang, Huifang. The Chinese carbon cycle data-assimilation system (Tan-Tracker). CHINESE SCIENCE BULLETIN[J]. 2014, 59(14): 1541-1546, http://www.irgrid.ac.cn/handle/1471x/912533.
[58] Tian Xiangjun. A Local Implementation of the POD-Based Ensemble 4DVar with R-Localization. 大气和海洋科学快报:英文版[J]. 2014, 11-16, http://lib.cqvip.com/Qikan/Article/Detail?id=49708617.
[59] Wang AiWen, Xie ZhengHui, Feng XiaoBing, Tian XiangJun, Qin PeiHua. A soil water and heat transfer model including changes in soil frost and thaw fronts. SCIENCE CHINA-EARTH SCIENCES[J]. 2014, 57(6): 1325-1339, https://www.webofscience.com/wos/woscc/full-record/WOS:000336380400018.
[60] Wang AiWen, Xie ZhengHui, Feng XiaoBing, Tian XiangJun, Qin PeiHua. A soil water and heat transfer model including changes in soil frost and thaw fronts. SCIENCE CHINA-EARTH SCIENCES[J]. 2014, 57(6): 1325-1339, https://www.webofscience.com/wos/woscc/full-record/WOS:000336380400018.
[61] LIU Jian-Guo, XIE Zheng-Hui, JIA Bing-Hao, TIAN Xiang-Jun, QIN Pei-Hua, ZOU Jing, YU Yan, SUN Qin, WANG Yuan-Yuan, XIE Jin-Bo, XIE Zhi-Peng. The Long-Term Field Experiment Observatory and Preliminary Analysis of Land-Atmosphere Interaction over Hilly Zone in the Subtropical Monsoon Region of Southern China. 大气和海洋科学快报:英文版[J]. 2013, 6(4): 203-209, http://lib.cqvip.com/Qikan/Article/Detail?id=46807856.
[62] Jia, Binghao, Tian, Xiangjun, Xie, Zhenghui, Liu, Jianguo, Shi, Chunxiang. Assimilation of microwave brightness temperature in a land data assimilation system with multi-observation operators. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2013, 118(10): 3972-3985, https://www.webofscience.com/wos/woscc/full-record/WOS:000325272000005.
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[73] 狄振华, 谢正辉, 袁星, 田向军, 罗振东, 陈亚宁. 输水条件下考虑土壤水和地下水相互作用的河流剖面地下水埋深估计方法. 中国科学:地球科学[J]. 2010, 1420-1430, http://lib.cqvip.com/Qikan/Article/Detail?id=36029579.
[74] 贾炳浩, 谢正辉, 田向军, 师春香. 基于微波亮温及集合Kalman滤波的土壤湿度同化方案. 中国科学. 地球科学[J]. 2010, 40(2): 239-251, https://www.sciengine.com/doi/10.1360/zd2010-40-2-239.
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[78] Tian Xiangjun. An explcit four-dimensional variational data assimilation method based on the properorthogonal decomposition: theoretics and evaluation. Science in China(D). 2009, [79] Tian XiangJun, Xie ZhengHui. An explicit four-dimensional variational data assimilation method based on the proper orthogonal decomposition: Theoretics and evaluation. SCIENCE IN CHINA SERIES D-EARTH SCIENCES[J]. 2009, 52(2): 279-286, https://www.webofscience.com/wos/woscc/full-record/WOS:000262684300014.
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[83] Jia BingHao, Xie ZhengHui, Tian XiangJun, Shi ChunXiang. A soil moisture assimilation scheme based on the ensemble Kalman filter using microwave brightness temperature. SCIENCE IN CHINA SERIES D-EARTH SCIENCES[J]. 2009, 52(11): 1835-1848, http://www.corc.org.cn/handle/1471x/2394477.
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[91] Tian, Xiangjun, Xie, Zhenghui, Dai, Aiguo. A land surface soil moisture data assimilation system based on the dual-UKF method and the Community Land Model. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2008, 113(D14): https://www.webofscience.com/wos/woscc/full-record/WOS:000258150800005.
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[94] Tian Xiangjun, Xie Zhenghui, Zhang Shenglei, Liang Miaoling. 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-EARTH SCIENCES[J]. 2006, 49(6): 622-631, http://www.corc.org.cn/handle/1471x/2378721.
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指导学生

现指导学生

王江楠  硕士研究生  070620-地球流体力学