教育经历
2004年进入清华大学土木水利学院水利工程系学习，2008年获得工学学士学位，并留校直接攻读博士学位。2013年获得博士学位，博士研究导师为王浩院士、杨大文教授和Ximing Cai教授。研究生期间，主要针对考虑预报不确定性的水资源优化调度展开研究，先后开发了不确定性动态演进数学模型和供水、发电、防洪等优化算法。
工作经历
2014年受聘于澳大利亚联邦科学工业组织（Commonwealth Scientific and Industrial Research Organization，CSIRO），先后担任Postdoc Fellow（2014年至2015年）和Research Scientist（2015年至2017年）。2017年受聘于墨尔本大学（The University of Melbourne），担任Research Fellow。在澳期间，与QJ Wang教授、Quanxi Shao研究员和David E. Robertson研究员等合作，从事全球气象预报和流域水文预报等研究，参加了澳大利亚国家水信息基础研究计划，参与研制了澳大利亚国家气象局的业务预报系统。
论文著作
论文
[1] Zhao, T. T. G.; Cai, X. M.; Yang, D. W., Effect of streamflow forecast uncertainty on real-time reservoir operation. Advances in Water Resources 2011,34 (4), 495-504. https://doi.org/10.1016/j.advwatres.2011.01.004
[2] Zhao, T. T. G.; Cai, X. M.; Lei, X. H.; Wang, H., Improved Dynamic Programming for Reservoir Operation Optimization with a Concave Objective Function. Journal of Water Resources Planning and Management-Asce 2012, 138(6), 590-596. https://doi.org/10.1061/(asce)wr.1943-5452.0000205
[3] Zhao, T. T. G.; Yang, D. W.; Cai, X. M.; Zhao, J. S.; Wang, H., Identifying effective forecast horizon for real-time reservoir operation under a limited inflow forecast. Water Resources Research 2012, 48. https://doi.org/10.1029/2011wr010623
[4] Gao, B.; Yang, D. W.; Zhao, T. T. G.; Yang, H. B., Changes in the eco-flow metrics of the Upper Yangtze River from 1961 to 2008. Journal of Hydrology2012, 448, 30-38. https://doi.org/10.1016/j.jhydrol.2012.03.045
[5] Zhao, T. T. G.; Zhao, J. S.; Yang, D. W.; Wang, H., Generalized martingale model of the uncertainty evolution of streamflow forecasts. Advances in Water Resources 2013, 57, 41-51. https://doi.org/10.1016/j.advwatres.2013.03.008
[6] Zhao, T. T. G.; Zhao, J. S., Joint and respective effects of long- and short-term forecast uncertainties On reservoir operations. Journal of Hydrology 2014,517, 83-94. https://doi.org/10.1016/j.jhydrol.2014.04.063
[7] Zhao, T. T. G.; Zhao, J. S., Forecast-skill-based simulation of streamflow forecasts. Advances in Water Resources 2014, 71, 55-64. https://doi.org/10.1016/j.advwatres.2014.05.011
[8] Zhao, T. T. G.; Zhao, J. S.; Lund, J. R.; Yang, D. W., Optimal Hedging Rules for Reservoir Flood Operation from Forecast Uncertainties. Journal of Water Resources Planning and Management 2014, 140 (12). https://doi.org/10.1061/(asce)wr.1943-5452.0000432
[9] Zhao, T. T. G.; Zhao, J. S.; Yang, D. W., Improved Dynamic Programming for Hydropower Reservoir Operation. Journal of Water Resources Planning and Management 2014, 140 (3), 365-374. https://doi.org/10.1061/(asce)wr.1943-5452.0000343
[10] Zhao, T. T. G.; Zhao, J. S., Improved multiple-objective dynamic programming model for reservoir operation optimization. Journal of Hydroinformatics 2014, 16 (5), 1142-1157. https://doi.org/10.2166/hydro.2014.004
[11] Zhao, T. T. G.; Zhao, J. S., Optimizing Operation of Water Supply Reservoir: The Role of Constraints. Mathematical Problems in Engineering 2014. https://doi.org/10.1155/2014/853186
[12] Zhao, T. T. G.; Zhao, J. S.; Liu, P.; Lei, X. H., Evaluating the marginal utility principle for long-term hydropower scheduling. Energy Conversion and Management 2015, 106, 213-223. https://doi.org/10.1016/j.enconman.2015.09.032
[13] Zhao, T. T. G.; Wang, Q. J.; Bennett, J. C.; Robertson, D. E.; Shao, Q. X.; Zhao, J. S., Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model. Journal of Hydrology 2015, 528, 329-340. https://doi.org/10.1016/j.jhydrol.2015.06.043
[14] Zhao, T. T. G.; Shao, Q. X., Detecting floodplain inundation based on the upstream-downstream relationship. Journal of Hydrology 2015, 530, 195-205. https://doi.org/10.1016/j.jhydrol.2015.09.056
[15] Xu, W. Z.; Zhao, J. S.; Zhao, T. T. G.; Wang, Z. J., Adaptive Reservoir Operation Model Incorporating Nonstationary Inflow Prediction. Journal of Water Resources Planning and Management 2015, 141 (8). https://doi.org/10.1061/(asce)wr.1943-5452.0000502
[16] Zhao, T. T. G.; Schepen, A.; Wang, Q. J., Ensemble forecasting of sub-seasonal to seasonal streamflow by a Bayesian joint probability modelling approach. Journal of Hydrology 2016, 541, 839-849. https://doi.org/10.1016/j.jhydrol.2016.07.040
[17] Zhao, T. T. G.; Zhao, J. S.; Hu, H. C.; Ni, G. H., Source of atmospheric moisture and precipitation over China's major river basins. Frontiers of Earth Science 2016, 10 (1), 159-170. https://doi.org/10.1007/s11707-015-0497-4
[18] Schepen, A.; Zhao, T. T. G.; Wang, Q. J.; Zhou, S. L.; Feikema, P., Optimising seasonal streamflow forecast lead time for operational decision making in Australia. Hydrology and Earth System Sciences 2016, 20 (10), 4117-4128. https://doi.org/10.5194/hess-2016-199
[19] Hui, R.; Lund, J.; Zhao, J. S.; Zhao, T. T. G., Optimal Pre-storm Flood Hedging Releases for a Single Reservoir. Water Resources Management 2016, 30(14), 5113-5129. https://doi.org/10.1007/s11269-016-1472-x
[20] Wan, W. H.; Zhao, J. S.; Lund, J. R.; Zhao, T. T. G.; Lei, X. H.; Wang, H., Optimal Hedging Rule for Reservoir Refill. Journal of Water Resources Planning and Management 2016, 142 (11). https://doi.org/10.1061/(asce)wr.1943-5452.0000692
[21] Zhao, T. T. G.; Bennett, J. B.; Wang, Q. J.; Schepen, A.; Wood, A. W.; Robertson, D. E.; Ramos, M-H., How suitable is quantile mapping for post-processing GCM precipitation forecasts? Journal of Climate 2017, https://doi.org/10.1175/jcli-d-16-0652.1
[22] Zhao, T. T. G.; Liu, P.; Zhang, Y. Y.; Ruan, C. Q., Relating anomaly correlation to lead time: Clustering analysis of CFSv2 forecasts of summer precipitation in China. Journal of Geophysical Research-Atmospheres 2017, 122(17), 9094-9106. https://doi.org/10.1002/2017jd027018
[23] Zhao, T. T. G.; Shao, Q. X.; Zhang, Y. Y., Deriving flood-mediated connectivity between river channels and floodplains: data-driven approaches.Scientific Reports 2017, https://doi.org/10.1038/srep43239
[24] Zhao, T. T. G.; Zhao, J. S.; Lei, X. H.; Wang, X.; Wu, B. S., Improved dynamic programming for reservoir flood control operation. Water Resources Management 2017, https://doi.org/10.1007/s11269-017-1599-4
[25] Yang, Y.; Zhao, T. T. G.; Ni, G. H.; Sun, T., Atmospheric rivers over the Bay of Bengal lead to northern Indian extreme rainfall. International Journal of Climatology 2018, 38 (2), 1010-1021. https://doi.org/10.1002/joc.5229
[26] Zhang, Y. Y.; Shao, Q. X.; Zhao, T. T. G., Comprehensive assessment of dam impacts on flow regimes with consideration of interannual variations. Journal of Hydrology 2017, 552, 447-459. https://doi.org/10.1016/j.jhydrol.2017.07.001
[27] Wu, B. S.; Zhang, G. Q.; Zhang, X.; Jeffrey, R. G.; Kear, J.; Zhao, T. T. G., Semi-analytical model for a geothermal system considering the effect of areal flow between dipole wells on heat extraction. Energy 2017, 138, 290-305. https://doi.org/10.1016/j.energy.2017.07.043
[28] Zhao, T. T. G.; Chen, X. H.; Liu, P.; Zhang, Y. Y.; Liu, B. J.; Lin, K. R., Relating anomaly correlation to lead time: principal component analysis of NMME forecasts of summer precipitation in China. Journal of Geophysical Research-Atmospheres 2018, 123, 6039-6052. https://doi.org/10.1029/2018JD028267
[29] Schepen, A.; Zhao, T. T. G.; Wang, Q. J.; Robertson, D. E., A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments. Hydrology and Earth System Sciences 2018, 22, 1615-1628. https://doi.org/10.5194/hess-22-1615-2018
[30] Zhang, Y. Y.; Zhai, X. Y.; Zhao, T. T. G., Annual shifts of flow regime alteration: new insights from the Chaishitan Reservoir in China. Scientific Reports2018, 8. https://doi.org/10.1038/s41598-018-19717-z
[31] Tian, F. Q.; Li, Y. L.; Zhao, T. T. G.; Hu, H. C.; Pappenberger, F.; Jiang, Y.; Lu, H., Evaluation of the ECMWF system 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin. Hydrology Research 2018, nh2018176. https://doi.org/10.2166/nh.2018.176
[32] Zhang, Y. Y.; Xia, J.; Yu, J. J.; Randall, M.; Zhang Y.; Zhao, T. T. G.; Pan, X.; Zhai, X. Y.; Shao, Q. X., Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes. Journal of Hydrology 2018, 560, 247-258. https://doi.org/10.1016/j.jhydrol.2018.03.031
专著
[1] Wang, H.; Lei, X. H.; Guo, X. N.; Jiang, Y. Z.; Zhao, T. T. G.; Wang, X.; Liao, W. H., Multi-Reservoir System Operation Theory and Practice. 2016; Vol. 16, p 1-110. https://doi.org/10.1007/978-3-319-22924-9_1
科研项目
国家自然科学青年基金，基于多尺度水文预报的水库动态调度模型及其不确定性分析，批准号：51409145，2015年至2016年，经费：20万元
武汉大学水资源与水电工程科学国家重点实验室开放基金，CFSv2全球季节预报对我国降水适用性研究，批准号：2016SWK01，2017年至2018年，经费：15万元
中组部第14批“千人计划”青年项目，2018年，经费：300万元
学术兼职
美国地球物理学会（AGU）、亚洲-大洋洲地理学联合会（AOGS）、澳大利亚-新西兰模型与模拟学会（MSSANZ）会员。
国际期刊审稿人，包括Engineering，Water Resources Research，Journal of Geophysical Research: Atmospheres，Hydrology and Earth System Sciences，Environmental Modeling & Software，Journal of Hydrology，Journal of Water Resources Planning and Management-ASCE，Journal of Hydrologic Engineering-ASCE，Journal of Hydrometeorology，Journal of Hydroinformatics，Journal of Cleaner Production，Hydrological Sciences Journal，Water Resources Management，Water Science and Technology，Energy Conversion and Management，Journal of Hydro-environmental Research，International Journal of Electrical Power & Energy Systems， International Journal of Climatology，WIREs Water，Water Policy，Environmental Earth Sciences，Journal of Water and Climate Change，International Journal of Water Resources Development，Water等20余个刊物。
获奖及荣誉
2008年，北京市优秀毕业生
2013年，北京市优秀博士毕业生
2016年，水利部大禹水利科技一等奖
2016年，湖北省科技进步一等奖
2017年，澳大利亚联邦科学工业组织学术影响力奖章（CSIRO Impact from Science Award）
2018年，美国土木工程师学会优秀评阅人（ASCE Outstanding Reviewer）
寄语学生
如果您对“预报-调度-决策”感兴趣，想攻读硕士、博士研究生，或是开展合作研究，请直接与我联系。
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