Faculty
Basic Introduction:
Dr. Tian Zhan received a Ph.D. from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, in July 2006. He is a Tenured Associate Professor of the School of Environmental Science and Engineering/Institute of Risk Analysis, Prediction and Control, Southern University of Science and Technology. He has more than twenty years of working experience in climate change impacts analysis, adaptation, and mitigation policy designs, and implementation. After MSc and PhD studies on climate change science and policy in the Chinese Academy of Sciences (PhD) and the China Agriculture Academy of Sciences (MSc), he began his career as a government scientific official at the Shanghai Meteorological Bureau in 2006. The same year, he was awarded the prestigious Global Change Visiting Scientist Fellowship of the START International. He visited the International Institute for Applied Systems Analysis (IIASA) in Austria, a top-ranked international institution in climate change research. He was selected as an overseas distinguished scholar of the Royal Academy of Engineering of the UK in 2023 and served as the deputy chief editor of Phys. Chem. Earth since 2022. He has published over 50 research articles in international peer-reviewed journals, including one paper each in Nature Water and PNAS Nexus. He has also contributed to 11 highly influential policy reports and policy briefings recognized by the Central Committee of the Communist Party of China and the Shanghai Municipal Government. He has been the Principal Investigator (PI) of 1 Ministry of Science and Technology of the People’s Republic of China, 7 National Science Fund of China (NSFC) funded projects, and 4 UK government (China Prosperity and Newton funding) projects. He coordinated over 50 scientists who organized interview activities to draft the East of China Regional Climate Change Assessment Report. These achievements have made him one of the leading authors in the field of Climate Change research in China.
Work experience (including current positions):
2023.12-Present Tenured Associate Professor, School of Environmental Science and Engineering & Institute of Risk Analysis, Prediction and Control, Southern University of Science and Technology
2021.09-2023.11 Research Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
2022.06- Present Research Scientist / Ph.D Supervisor, Pengcheng National Laboratory
2018.09-2021.08 Research Associate Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
2008.11-2018.08 Associate Professor/Director, Climate Change Laboratory, Shanghai Climate Center
2006.08-2008.10 Engineer, Ecology and Agro-Gas Chamber, Shanghai Climate Center
Education:
2003.09-2006.07 Ph. D. degree in Global Change and Geographic Information Systems, Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences
2000.09-2003.07 M. S. degree in Climate Change and Agricultural Ecology, Shanxi Agricultural University and the Chinese Agricultural Academy of Sciences
1996.09-2000.07 B.S. degree in Medicinal botany, Shanxi Agricultural University
Social Affiliations:
1. 2022-present Associate Editor-in-Chief of Physics and Chemistry of the Earth
2. 2023-2028 Board Member of Beijing Ecological Restoration Society
3. 2023-2027 Board Member of Geographic Models and Geoinformation Analysis of the Geographical Society of China
4. 2021-2025 Vice Chairman of the Youth Working Committee of the Chinese Society of Natural Resources
Major Awards and Honors:
1. 2024. 11 First Prize of the Dayu Water Conservancy Science Progress Award (ranked 3rd)
2. 2023.03 Overseas Distinguished Scholar of the Royal Academy of Engineering, United
Kingdom
3. 2021.09 International Center for Theoretical Physics Middle-aged Career Award (5-year
senior visiting scholar)
4. 2020.01 2019 Newton Award China Award Best 5 Projects Finalist (Ranked 2nd)
5. 2016.09 The 8th China Technology Market Golden Bridge Award
Research Interests:
1. Regional climate modeling and applications
2. Urban flood risk modeling and assessment
3. Development and application of agro-ecosystem models
4. Climate change impact, adaptation, and decision-making studies
Research Projects:
1. Key Program Project of the National Natural Science Foundation of China (NSFC), “Research on the Risk Mechanism of Extreme Compound Flood Disasters in the Hong Kong-Macao Greater Bay Area” (2025-2029), Principal Investigator, RMB 2.3 million
2. Sponsored by Shenzhen Meteorological Bureau, “High-Resolution Regional Climate Model Scenario Projections ” (2025-2025), Principal Investigator, RMB 144,000
3. Distinguished International Fellow, Royal Academy of Engineering (UK) “Research on Pathways for Climate-Resilient Engineering to Address Flood Risks” (2023-2025), Principal Investigator, GBP 0.1 million
4. Sponsored by Shenzhen Science and Technological Committee, “Analysis of waterlogging characteristic mechanism and development of forecast key technology based on deep machine learning methods in Shenzhen” (2021-2024), Principal Investigator, RMB 0.6 million
5. Sponsored by Shenzhen Science and Technological Committee, “Key technologies and application for Shenzhen's response to climate change catastrophe risk management” (2021-2024), Principal Investigator, RMB 6.0 million
6. Sponsored by MOST(China)and BMBP(Germany), “Mitigating the Risk of compound extreme Flooding events: a trade-off analysis framework for coastal metropolises and its application” (2021-2024), Principal Investigator (China side), RMB 4.5 million+EUR300,000
7. Sponsored by National Key R&D Program Strategic International Cooperation Project “Development of New Models for Urban Rainwater Resource Utilization” (2019-2022), Coordinator, RMB 1.67 million
8. Sponsored by NWO (The Netherland)-NSFC (China)-EPSRC (UK), “Sustainable Solutions for Managing Compound Flood Risks under Future Uncertainties: The Case of Shanghai City and the Yangtze River Delta Region” (2017-2021), Principal Investigator (China side), EUR 280,000 + RMB 3 million + GBP 300,000
9. Sponsored by NSFC, “Proactive Flood Risk Management in Coastal Cities under Climate Change Using Robust Control Theory”(2017-2020) , Principal Investigator, RMB 0.65 million
10. Sponsored by National Key R&D Program of the Ministry of Science and Technology of China, “Key Technologies for Extreme Climate Disaster Forecasting and Early Warning in the Yangtze River Delta Urban Agglomeration” (2016-2020), Project Leader, RMB 0.5million
11. Sponsored by the UK Royal Academy of Engineering Newton Fund China Urban Flood Project, “Learning from the UK’s Thames River 2100 Project to Develop Engineering Measures to Respond to Compound Flooding Disasters Caused by Climate Change in Shanghai” (2018-2020) , Principal Investigator, GBP 0.14 million
12. Sponsored by UK Royal Academy of Engineering and Newton Fund of the UK, “Developing Engineering Options for Mitigating Future Compound Flooding Risks in Shanghai by Transferring the Expertise of UK TE2100” (2018-2020), Lead Principal Investigator, GBP 140K
13. Sponsored by Shenzhen Meteorological Bureau Commissioned Project, “Analysis of Rainfall-Runoff-Water Quality Relationships in Shenzhen River Basins” (2019-2019), Principal Investigator, RMB 200K
14. Sponsored by the Met Office and Newton Fund of the UK, “Development of an Integrated Urban Framework for Climate Services in the Yangtze River Delta Region” (2017-2019), Co-Principal Investigator, GBP 15K
15. Sponsored by Shanghai Energy Conservation & Emission Reduction Fund, “Simulation and Impact Analysis of Extreme Flood Inundation Processes in Shanghai” (2016-2018), Principal Investigator, RMB 500K
16. Sponsored by NSFC, “Assessing the regional suitability and comparable advantages of growing Oil crop in China under climate change” (2014-2017), Principal Investigator, RMB 750K
17. Sponsored by UK FCDO Prosperity Fund Project “Climate Change Risk Assessment for the Yangtze River Delta” (2016-2017), Principal Investigator, GBP 100K
18. Sponsored by UK Foreign and Commonwealth Office China Prosperity Strategic Program Fund (SPF), “A Study of Flood Control Strategies for Shanghai to Respond to Climate Change” (2015-2016), Principal Investigator, GBP 84520
19. Sponsored by the National Natural Science Foundation of the International Cooperation and Exchange Project, “Training Workshop on Uncertainty Quantification in Climate Models and Climate Predictions” (2015-2015), RMB 1.5K
20. Sponsored by CMA Climate Change Special Program, “Resilience Assessment Methodology for Public Health Adaptation to Climate Change—Extreme Heat Waves” (2014), Principal Investigator, RMB 200K
21. Sponsored by Shanghai Special Funding of Climate Change, “Climate Change Adaptation Policy on Extreme Weather and Risk Management in Shanghai City” (2012-2014), Principal Investigator, RMB 400K
22. Sponsored by CMA Climate Change Special Program, “Impact of Climate Change on Oilseed Crop Suitability in Eastern China and Adaptation Technology Simulation” (2013) , Principal Investigator, RMB 300K
23. Sponsored by CMA Climate Change Special Program, “Impact Analysis of Climate Change on Rapeseed in the Yangtze River Basin” (2011-2012) , Principal Investigator, RMB 200K
24. Sponsored by NSFC Young Scientists Fund, “Multi-Scale Data Fusion and Cross-Scale Modeling for Assessing Climate Change Impact on Crop Productivity” (2009-2011), Principal Investigator, RMB 190K
25. Sponsored by WWF-HSBC Partnership on Climate Change, “Analyze and predict climate change trends in Shanghai to support actions related to climate change response” (2009), Principal Investigator, RMB 190K
26. National Science and Technology Support Project, “Simulation Study on the Impacts of Climate Change and Adaptation Technologies: A Case Study of Rapeseed and Winter Wheat” (2007-2010) , Principal Investigator, RMB8 0K
Teaching (Courses and outstanding students)：
1. Delivered core courses: Climate Change and Disaster Risk Management, Academic Reading and Writing in Environmental Science and Engineering, and Natural Disasters.
2. Supervised six students awarded NSFC funding for IIASA YSSP Program.
3. Mentored students winning full PhD scholarships at the University of Maryland (USA) and Ca’ Foscari University of Venice (Italy).
4. Guided Honglin Zhong to win the IIASA Peccei Award; now “Taishan Scholar” Professor at Shandong University.
Academic achievements (published papers or papers or patents):
54 SCI journal articles have been published, 41 as the first author and corresponding author: (*marked as corresponding author)
1. Zheng, L., Tian, Z.*, Wang, S., Zhang, S., Chen, A., Niu, Y., Guan, Y., Sun, L., 2025. Bridging the data gap: A new approach for reconstructing historic typhoon intensity using single station observations. Monthly Weather Review (IF=3.0, Q2), DOI:10.1175/MWR-D-24-0261.1.
2. Wang, Y., Tian, Z.*, Zhang, S., Guan, Y., Ke, Q., Yang, H., 2025. Flood risk assessment by heterogeneous ensemble learning techniques: A Shenzhen City, China case study. Journal of Hydrology (IF=6.3, Q1), 132566.
3. Xu, H., Ragno, E.*, Jonkman, S., Wang, J.*, Bricker, J., Tian, Z.*, Sun, L., 2024. Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai. Hydrology and Earth System Sciences (IF=5.8, Q1), 28 (16): 3919-3930.
4. Meng, L., Tian, Z.*, Fan, D.*, Ven, F., Sun, L., Ye, Q., Sun, S., Liu, J., Nougues, L., Rooze, D., 2024. A multi-objective optimization approach for harnessing rainwater in changing climate. Advances in Climate Change Research. (IF=5.2, Q1).15: 976-987.
5. Buonomo, E.*, Savage, N., Dong, G., Becker, B., Jones, R., Tian, Z.*, Sun, L., 2024. Tropical cyclone changes in convection-permitting regional climate projections: a study over the Shanghai region. Journal of Geophysical Research: Atmospheres (IF=4.8, Q1), 129 (5): e2023JD038508.
6. Sun, Q., Olschewski, P., Wei, J., Tian, Z., Sun, L., Kunstmann, H., Laux, P., 2024. Key ingredients in regional climate modeling for improving the representation of typhoon tracks and intensities. Hydrology and Earth System Sciences (IF=5.8, Q1), 28: 761-780.
7. Liu, J., Tian, Z.*, Dobbie, S., Ross, A., Sun, L., Ye, Q., 2023. Characterization and process understanding of tropical cyclone-induced floods derived from observations in Shenzhen, China. Environmental Research Letters (IF=5.6, Q1), 18(12): 124040.
8. Tian, Z., Ramsbottom, D., Zou, H., Huang, Y., Sun, L.*, Liu, J., 2023. Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory. Nature Water (IF=24.1, Q1), 1: 198-208.
9. Liang, Z., Sun, L., Tian, Z.*, Fischere, G., Yan, H., 2023. Increase in grain production potential of China under climate change. PNAS Nexus (IF=3.8, Q1), 2(3): 1-10.
10. Olschewski, P.*, Laux, P., Wei, J., Boker, B., Tian, Z., Sun, L., Kunstmann, H., 2023.An ensemble-based assessment of bias adjustment performance, changes in hydrometeorological predictors and compound extreme events in EAS-CORDEX. Weather and Climate Extremes (IF=6.9, Q1), 39: 100531.
11. Tian, Z., Yu, Z., Li, Y., Ke, Q., Liu, J.*, Luo, H., Tang, Y., 2022. Prediction of River Pollution Under the Rainfall-Runoff Impact by Artificial Neural Network: A Case Study of Shiyan River, Shenzhen, China. Frontiers in Environmental Science (IF=3.7, Q2), 10: 887446.
12. Xu, H., Z. *, Sun, L., Ragno, E., Bricker, J., Mao, G., Ye Q., Tan, J., Wang, J.， Ke, Q.， Wang, S., Toumi, R., 2022. Compound flood impact of water level and rainfall during tropical cyclone period in a coastal city: The case of Shanghai. Natural Hazards and Earth System Sciences (IF=4.7, Q1), 22: 2347-2358.
13. Dong, G., Jiang, Z., Wang, Y., Tian, Z.*, Liu, J., 2022. Evaluation of extreme precipitation in the Yangtze River Delta Region of China using a 1.5 km mesh convection-permitting regional climate model. Climate Dynamics (IF=3.7, Q2), 59: 2257-2273.
14. Tian, Z., Lv, X., Zou, H.*, Yang H., Sun, L., Pinya, M., Chao, Q., Feng, A., 2022. Developing Index-Based Assessments of Perceived Climate Risk and Adaptation Options for Megacities: The case of Shanghai and Shenzhen in China. Advances in Climate Change Research (IF=5.2, Q1), 13(3): 432-442.
15. Liu, Q., Cui, W., Tian, Z., Tang, Y., Tillotson, M., Liu, J.*, 2022. Stormwater management modeling in “sponge city” construction: current state and future directions. Frontiers in Environmental Science (IF=3.7, Q2), 9: 816093.
16. Xie, Y., Dong, G. *, Wang, Y., Fan, D.*, Tian, Z., Tan, J., Wu, W., Zhang, M., 2021. High-resolution ensemble projection of mean and extreme precipitation over China based on multiple Bias-corrected RCM simulations, Frontiers in Earth Science (IF=2, Q3), 9: 771384.
17. Dong*, G., Xie, Y., Wang, Y., Fan, D., Tian, Z.*, 2021. Ensemble projection of extreme precipitation over China based on three dynamical downscaling simulations. Frontiers in Earth Science (IF=2, Q3), 9: 755041.
18. Fan, D., Fan, Y., Tian, Z.*, Li, X., Jiang, M., Sun, L.*, Zhong, H., Wang, K., Wang, X., Jiang, L., 2021. A Vital Option for Food Security and Greenhouse Gases Mitigation: Planting Elite Super Rice in Double-to single-rice Cropping Fields in China. Environmental Research Letters (IF=5.6, Q1), 16(9): 094038.
19. Fan, D., Jiang, Z., Tian, Z.*, Dong, G., Sun, L., 2021. The effects of climate change on Chinese Medicinal Yam over North China under the high-resolution PRECIS projection. Earth and Space Science (IF=2.6, Q2), 8(8): e2021EA001804.
20. Ke, Q., Yin, J., Bricker, J.*, Savage, N., Erasmo, B., Ye, Q., Visser, P., Dong, G., Wang, S., Tian, Z.*, Sun, L., Toumi. R., Jonkman, S.N., 2021. An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazard (IF=3.7, Q2), 109: 671-703.
21. Wang, S., Toumi, R., Ye, Q., Ke, Q., Bricker, J., Tian, Z.*, Sun, L., 2021. Is the tropical cyclone surge in Shanghai more sensitive to landfall location or intensity change? Atmospheric Science Letters (IF=2.2, Q3), 22(10): e1058.
22. Huang, X., Li, Y., Tian, Z.*, Ye, Q., Ke, Q., Fan, D., Mao, G., Chen, A., Liu*, J., 2021. Evaluation of short-term streamflow prediction methods using hourly rainfall data in urban river basins. Physics and Chemistry of the Earth, (IF=4.1, Q2), 123: 103027.
23. Liu, J., Schlünzen, H., Frisius, T., Tian, Z.*, 2021. Effects of Urbanization on Precipitation in Beijing. Physics and Chemistry of the Earth (IF=4.1, Q2), 122: 103005.
24. Zhong, H., Feng, K., Sun, L., Tian, Z., Fischer, G., Cheng, L., Castillo, R., 2021. Water-land Tradeoffs to Meet Future Demands for Sugar Crops in Latin America and the Caribbean: A Bio-physical and Socio-economic Nexus Perspective. Resources, Conservation & Recycling (IF=11.2, Q1), 169: 105510.
25. Tian, Z., Fan, Y., Wang, K., Zhong, H., Sun, L.*, Fan, D., Tubiello, F., Liu, J.*, 2021. Searching for “Win-Win” Solutions for Food-Water-GHG Emissions Tradeoffs across Irrigation Regimes of Paddy Rice in China. Resources, Conservation & Recycling (IF=11.2, Q1), 166: 105360.
26. Tian, Z., Ji, Y., Xu, H., Qiu, H.*, Sun, L.*, Zhong, H., Liu, J., 2021. The potential contribution of growing rapeseed in winter fallow fields across Yangtze River Basin to energy and food security in China. Resources, Conservation & Recycling (IF=11.2, Q1), 164: 105159.
27. Ke, Q., Tian, X., Bricker, J., Tian, Z.*, Guan, G., Huang, X., Yang, H., Liu, J., 2020. Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China. Advances in Water Resources (IF=4.2, Q1), 145: 103719.
28. Dong, G., Jiang, Z., Tian, Z.*, Erasmo, B., Sun, L.*, Fan, D., 2020. Projecting Changes in Mean and Extreme Precipitation Over Eastern China During 2041–2060. Earth and Space Science (IF=2.6, Q2), 7(9): e2019EA001024.
29. Jiang, Z., Tian, Z., Dong, G.*, Zhang, P., Erasmo, B., Fan, D., 2020. High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models. Journal of Meteorological Research (IF=2.5, Q3), 34(5): 965-985.
30. Liu, X., Tian, Z.*, Sun, L.*, Liu, J., Wu, W., Xu, H., Sun, L., Wang, C., 2020. Mitigating heat-related mortality risk in Shanghai, China: system dynamics modeling simulations. Environmental Geochemistry and Health (IF=3.8, Q2), 42(10): 3171-3184.
31. Shi, J., Cui, L., Tian, Z., 2020. Spatial and temporal distribution and trend in flood and drought disasters in East China. Environmental Research (IF= 7.7, Q1), 185, 381-391.
32. Huang, Y.†, Tian, Z.†, Ke, Q., Liu, J.*, Masoud, I., Fan, D*., Hou, M., Sun, L., 2020. Nature-Based Solutions for Urban Pluvial Flood Risk Management. Wiley Interdisciplinary Reviews Water (IF=5.8, Q1) , 7(3): e1421.
33. Tian, Z., Xu, H., Sun, L.*, Fan, D.*, Fischer, G., Zhong, H., Zhang, P., Pope, E., Kent, C., Wu, W., 2020. Using a cross-scale simulation tool to assess future maize production under multiple climate change scenarios: An application to the Northeast Farming Region of China. Climate Service (IF= 4.5, Q2), 18: 100150.
34. Fan, D.†, Zhong, H.†, Hu, B., Tian, Z. *, Sun, L.*, Fischer, G., Wang, X., Jiang, Z., 2020. Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change. Environmental Geochemistry and Health (IF=3.7, Q2), 42: 987-1000.
35. Chris, K.*, Edward, P., Nick, D., Adam, S.,Tian, Z., Robin, C., Zhang, L., Jemma, D., Kirsty, L., 2019. Maize drought hazard in the Northeast Farming Region of China: unprecedented events in the current climate. Journal of Applied Meteorology and Climatology (IF=2.2, Q3), 58(10): 2247-2258.
36. Hu, H.†, Tian, Z.†, Sun, L.*, Wen, J.*, Liang, Z., Dong, G., Liu, J., 2019. Synthesized trade-off analysis of flood control solutions under future deep uncertainty: An application to the central business district of Shanghai. Water Research (IF=12.4, Q1), 166: 115067.
37. Zhong, H., Sun, L.*, Fischer, G., Tian, Z., Liang, Z., 2019. Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain. Agricultural Systems (IF=6.1, Q1), 173: 94-106.
38. Sun, L.†, Tian, Z.†, Zou, H.*, Shao, L., Sun, L.*, Dong, G., Fan, D., Huang, X., Frost, L., James, L., 2019. An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China. Sustainability (IF=3.3, Q2), 11(7): 2099.
39. Xu, H.†, Tian, Z.†, He, X., Wang, J.*, Sun, L.*, Fischer, G., Fan, D., Zhong, H., Wu, W., Edward, P., Chris, K., Liu, J., 2019. Future increases in irrigation water requirement challenge the water-food nexus in the northeast farming region of China. Agricultural Water Management (IF=6.5, Q1), 213: 594-604.
40. Tian, Z., Ji, Y., Sun, L.,Xu, X.*, Fan, D.*, Zhong, H., Liang, Z., Fischer, G., 2018. Changes in production potentials of rapeseed in the Yangtze River Basin of China under climate change: A multi-model ensemble approach. Journal of Geographical Sciences (IF= 5.2, Q1), 28(11): 1700-1714.
41. Shi, J.*, Cui, L., Wen, K., Tian, Z., Wei, P., Zhang, B., 2018. Trends in the consecutive days of temperature and precipitation extremes in China during 1961-2015. Environmental Research (IF=7.7, Q1), 161: 381-391.
42. Zhong, H., Sun, L.*, Fischer, G., Tian, Z., Velthuizen, H., Liang, Z., 2018. Mission Impossible? Maintaining regional grain production level and recovering local groundwater table by cropping system adaptation across the North China Plain. Agricultural Water Management (IF=6.5, Q1), 193: 1-12.
43. Tian, Z., Niu, Y., Fan, D.*, Sun, L.*, Fischer, G., Zhong, H., Deng, J., Tubiello, F. N., 2018. Maintaining Rice Production While Mitigating Methane and Nitrous Oxide Emissions from Paddy Fields in China: Evaluating Tradeoffs by Using Coupled Agricultural Systems Models. Agricultural Systems (IF=6.1, Q1), 159: 175-186.
44. Yang, X., Tian, Z.*, Sun, L.*, Chen, B., Tubiello, F. N., Xu, Y., 2017. The Impacts of Increased Heat Stress Events on Wheat Yield under Climate Change in China. Climatic Change (IF=4.8, Q1), 140(3-4): 605-620.
45. Fan, D., Ding, Q., Tian, Z*., Sun, L., Fischer, G., 2017. A Cross-scale Model Coupling Approach to Simulate the Risk-reduction Effect of Natural Adaptation on Soybean Production under Climate Change. Human and Ecological Risk Assessment (IF=2.7, Q2), 23(3): 426-440.
46. Liang, Z., Tian, Z*., Sun, L*., Feng, K., Zhong, H., Gu, T., Liu, X., 2016. Heat wave, electricity rationing, and trade-offs between environmental gains and economic losses: The example of Shanghai. Applied Energy (IF=11, Q1), 184: 951-959.
47. Liang, Z., Gu, T., Tian, Z.*, Zhong, H., 2015. Agro-climatic Adaptation of Cropping System under Climate Change in Shanghai. Frontiers of Earth Science (IF=1.6, Q3), 9(3): 487-496.
48. Tian, Z., Liang, Z.*, Sun, L.*, Zhong, H., Qiu, H., Fischer, G., Zhao, S., 2015. Agriculture under Climate Change in China: Mitigate the Risks by Grasping the Emerging Opportunities. Human and Ecological Risk Assessment: An International Journal (IF=3.6, Q2), 21(5): 1259-1276.
49. Tian, Z., Zhong, H.*, Sun, L., Fischer, G., Velthuizen, H., Liang, Z., 2014. Improving Performance of Agro-ecological Zone (AEZ) Modeling by Cross-scale Model Coupling: An Application to Japonica Rice Production in Northeast China, Ecological Modelling (IF=3.2, Q2), 290: 155-164.
50. Tian, Z., Yang, X.*, Sun, L., Fischer, G., Liang, Z., Pan, J., 2014. Agro-climatic Conditions in China under Climate Change Scenarios Projected from Regional Climate Models. International Journal of Climatology (IF=2.8, Q2), 34(9): 2988-3000.
51. Yang, X., Tian, Z., Chen, B., 2013. Thermal growing season trends in east China, with emphasis on urbanization effect. International Journal of Climatology (IF=2.8, Q2), 33(10): 2402-2412.
52. Tian, Z., Zhong, H., Shi, J., Sun, L., Fischer, G., Liang, Z., 2012. Estimating potential yield of wheat production in China based on cross-scale data-model fusion. Frontiers of Earth Science (IF=1.6, Q3), 6(4): 364-372.
53. Tian, Z., Cao, G., Shi, J*., Ian, M., Cui, L., Fan, D., Li, X., 2012. Urban Transformation of a Metropolis and its Environmental Impacts: A Case Study in Shanghai. Environmental Science and Pollution Research (IF=5.6, Q2), 19(5): 1364-1374.
54. Zhao, H., Gao, G.*, Yan, X., Zhang, Q., Hou, M., Zhu, Y., Tian, Z., 2011. Risk Assessment of Agricultural Drought using the CERES-Wheat Model: a Case Study of Henan Plain, China. Climate Research (IF=1.6, Q2), 50(2-3): 247-256.
55. Tian, Z., LV, J., Sun, L., Wang, Y., Yang, H., Xu, Y.*, 2025. From regret theory to non-regret decision-making: A novel approach for managing low-probability high-impact climate disasters. Science Bulletin, Doi: 10.1360/TB-2025-0150.
56. Ge, X., Fan, D., Tian, Z*., Liu, Q., Lv, J., Wang, Y., 2025. Modeling cascading failures of critical infrastructure in urban flooding: A case study of the Maozhou River Basin. Tropical Geography, 45(04): 637-647.
57. Liu, J.*, Chen, H., Tian, Z., 2022. Interpretation of the IPCC AR6 Report: Climate Change and Water Security. Advances in Climate Change Science, 18(4): 405-413.
58. Tian, Z., Wu, W., Liu, J.*, Sun, L., 2022. A Review of Climate Change Adaptation Decision-making Methods under Deep Uncertainty: A Case Study of Coastal Urban Flooding. Chinese Science Bulletin, 67(22): 2638-2650.
59. Liu, J., Cui, W., Tian, Z., Jia, J., 2020. Theory of progressive ecological restoration. Chinese Science Bulletin, 66: 1014-1025.
60. Zhang, Z., Wang, K., Liu, J.*, Tian, Z., Zhao, D., 2020. A Review of Water-Food-Energy Related Systems: Bibliometrics and Analysis. Chinese Science Bulletin, 65(16): 1569-1581.
61. Hu, H., Gu, T., Tian, Z*., 2018. A review of robust decision-making methods for flood risk in the context of climate change. Climate Change Research, 14(1): 77-85.
62. Wu, W.*, Tian, Z., Hu, H., Liu, X., Sun, L., Dong, G., Mu, H., Tan, J., 2017. Research Progress on Key Technologies for Urban Climate Change Adaptation in Shanghai. Advances in Meteorological Science and Technology, 7(6): 126-133.
63. Zhao, R.*, Xu, H., Fan, D., Tian, Z., 2017 Research progress on the impact of climate change on peanut production in China. Chinese Agricultural Science Bulletin, 33(21): 114-117.
64. Ding, Q., Tian, Z*., Fan, D., Sun, L. 2016. The impact of climate change on soybean in China. Journal of Risk Analysis and Crisis Response, 6(2): 95-102.
65. Tian, Z., Niu, Y., Sun, L., Li, C., Liu, C., Fan, D.*, 2015. Simulation of greenhouse gas emissions from paddy fields in China under the influence of climate change based on DNDC model. Chinese Journal of Applied Ecology, 26(03): 793-799.
66. Yang, X., Tang, X., Chen, B., Tian, Z*., Zhao, S., 2014. The impact of climate change on wheat yield in China was simulated using CMIP5 multi-model ensemble. Scientia Agricultura Sinica, 47(15): 3009-3024.
67. Tian, Z*., Ding, Q., Liang, Z., Fan, D.*, 2014. Research progress on the impact of climate change on oil crops in China. Chinese Agricultural Science Bulletin, 30(15): 1-6.
68. Tian, Z*., Liang, Z., Shi, J., Gu, T., 2013. Analysis of the impact of climate change on wheat production potential in China in the past 50 years. Chinese Agricultural Science Bulletin, 29(9): 61-69.
69. Yang, X.*, Tang, X., Chen, B., Tan, Y., Tian, Z*., Zhong, H., 2013. Effects of high temperature stress on wheat yield in China under the background of climate warming. Advances in Geography, 32(12): 1771-1779.
70. Yang, X., Tang, X.*, Chen, B., Tan, Y., Tian, Z., 2013. Uncertainty analysis of multi-model climate projections for winter wheat yield simulation in North China. Advances in Geography, 32 (4): 627-636.
71. Tan, J.*, Hou, Y., Tan, Y., Tian, Z., 2012. Climate Risks and Diverse Resilience Initiatives for Sustainable Urban Development. Shanghai City Management, 21(3): 27-31.
72. Tang, X., Yang, X.*, Tan, Y., Tian, Z., Fisher, G., Jie, P., 2011. Impacts of climate change on agro-climatic resources in China. Resources Science, 33(10): 1962-1968.
73. Zhang, H., Tian, Z*., Yang, J., Li, J., Zhao, R., Xin, Y., 2011. A preliminary study on the simulation of rapeseed yield in the Yangtze River Basin under the influence of climate change. Chinese Agricultural Science Bulletin, 27(21): 105-111.
74. Shi, J.*, Cui, L., Tan, Y., Tian, Z*., Yu, Q., 2011. Effects of temperature change on energy consumption of total heating and cooling of residential buildings in East China. Journal of Natural Resources, 26(3):460-467.
75. Shi, J.*, Cui, L., Tian, Z*., Xue, J., 2011. Diurnal temperature fluctuation characteristics and urbanization effects in Shanghai over the past 100 years. Resources Science, 33(5):989-994.
76. Xu, X.*, Min, X., Tian, Z*., 2010. Simulation and prediction of urban space expansion in Shanghai based on GIS and LTM models. Chinese Population Resources and Environment, 20(5): 136-139.
77. Shi, J.*, Cui, L., Tian, Z*., 2009. Climate change characteristics and influencing factors of high and low temperature in Shanghai. Resources and Environment in the Yangtze River Basin. 18(12): 1143-1148.
78. Tian, Z*., Feng, L., Chen, B., Chen, B., 2008. Research progress on the application of scenarios in climate change research. Plateau Meteorology, 27(supplement): 16-21.
79. Tian, Z*., Xu, X., Shi, J., 2006. Effects of climate change on wheat production in Dingxi, Gansu and Hefei, Anhui. Progress in Geography, 25(4): 88-95.
80. Tian, Z*., Liu, J., Cao, M., 2006. Simulation of the impact of climate change on wheat production in the Huang-Huai-Hai agricultural area of China. Journal of Natural Resources, 21(4): 598-607.
81. Xu, Y.*, Tian, Z., 2005. A discussion on the method of assessing the impact of climate change on wheat production in China using RCM climate scenarios. Chinese Journal of Agrometeorology. 26(supplement): 46-49.
82. Du, R.*, Xu, Y., Tian, Z., 2005. The CERES-Wheat model was used to simulate the effects of different soil moisture content on wheat yield in arid/semi-arid region. Chinese Journal of Agrometeorology. 26(supplement): 6669.
83. Xiong, W.*, Xu, Y., Lin, E., Tian, Z., 2005. Impact assessment simulation experiment and uncertainty analysis of the interface between regional climate models and crop models. Chinese Journal of Ecology, 24 (07): 741-746.
84. Tian, Z*., Xu, Y., Yang, W., 2003. The field test data were used to test the applicability of the CERES-Wheat model in China. Chinese Journal of Agrometeorology, 24(supplement): 62-64.
Books and Book Chapters:
1. Zhan Tian, Kai Wang, Ying Meng, Yidan Fan, Zongyong Zhang, Guoqing Gong. Water Resources in the Lancang-Mekong River Basin: Impact of Climate Change and Human Inter-
ventions. Springer Nature Singapore. 2024: 229-253. Doi: 10.1007/978-981-97-0759-1.
2. Junguo Liu, Laixiang Sun, Zhan Tian, Qinghua Ye, Shiqiang Wu, Shuyu Zhang. Editorial: Nature-based solutions for urban water management. 2023: 1228154. doi:10.3389/fenvs. 2023. 1228154.
3. Zhan Tian, Hanqing Xu, Honglin Zhong, Laixiang Sun, Junguo Liu. Agricultural Adaptation to Climate Change in China. In Adaptation to Climate Change in Agriculture. Springer, Singapore, 2019: 111-122. Doi: 10.1007/978-981-13-9235-1_8.
4. Zhan T. (Lead Author), et al., 2018. Assessment report on climate change of Yangtze River Delta (10 thousand words) China Social Science Press.
5. Zhan T. (Lead Author), et al., 2015. 1st Yangtze River Delta Climate Change Assessment Report (15 thousand words) China Meteorological Press.
6. Zhan T. (Coordinating Lead Author), et al., 2012. 1st East China Regional Climate Change
Assessment Report (15 thousand words) China Meteorological Press.
7. Zhan T. (Lead Author), et al., 2011. National Strategy for Climate Change Adaptation (5
thousand words) China Science Press.
Patents:
1. A multi-objective management and utilization method for predicted future water resourcs, May 28, 2024, ZL202311360548.2
2. A coastal and riverside vulnerability assessment method, system, terminal and storage medium, June 27, 2023, ZL202211419153.0
A situational discovery and vulnerability analysis method, system, terminal and storage medium, May 5, 2023, ZL202310029876.8