中   |   EN

Tian Zhan

Tenured Associate Professor (Researcher) |College of Engineering

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.

Personal Profile

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):

  1. 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
  2. 2021.09-2023.11  Research Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
  3. 2022.06- Present  Research Scientist / Ph.D Supervisor, Pengcheng National Laboratory
  4. 2018.09-2021.08  Research Associate Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
  5. 2008.11-2018.08  Associate Professor/Director, Climate Change Laboratory, Shanghai Climate Center
  6. 2006.08-2008.10  Engineer, Ecology and Agro-Gas Chamber, Shanghai Climate Center

Education:

  1. 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

  2. 2000.09-2003.07  M. S. degree in Climate Change and Agricultural Ecology, Shanxi Agricultural University and the Chinese Agricultural Academy of Sciences

  3. 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 Memberof Beijing Ecological Restoration Society
  3. 2023-2027     Board Memberof Geographic Models and Geoinformation Analysis of the Geographical Society of China
  4. 2021-2025     ViceChairman 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,UnitedKingdom
  3. 2021.09 International Center for Theoretical Physics Middle-aged Career Award (5-yearsenior visiting scholar)
  4. 2020.01 2019 Newton Award China Award Best 5 Projects Finalist (Ranked 2nd)
  5. 2016.09 The 8thChina Technology Market Golden Bridge Award

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 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 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 byNational Key R&D Program Strategic International Cooperation Project “Development of New Models for Urban Rainwater Resource Utilization” (2019-2022),  Coordinator, RMB 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 65 million
  10. Sponsored byNational 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 5million
  11. Sponsored bythe 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 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 bythe National Natural Science Foundation of the International Cooperation and Exchange Project, “Training Workshop on Uncertainty Quantification in Climate Models and Climate Predictions” (2015-2015),Principal Investigator, RMB 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, RMB80K

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

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:

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,,Tian, Z.*, Zhang, S., Guan, Y., Ke, Q., Yang, H., 2025. Flood risk assessment by heterogeneous ensemble learning techniques: A case study of Shenzhen City, China.  Journal of Hydrology (IF=6.3, Q1), 132566.
  3. Xu,,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,,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,,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,,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,,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, , 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,,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,,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,,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,,  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.*, 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., 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.*,  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, , 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,,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):1569-1 581.
  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(01):77-85.
  62. Wu, W.*, Tian, Z., Hu, , 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(06): 126-133.
  63. Zhao, R.*, Xu, , 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,,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,,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,,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, , 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, , 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., 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,, 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, , 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,,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*.,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*., 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., 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,,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. ZhanTian, 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., 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., 1st East China Regional Climate Change Assessment Report (15 thousand words) China Meteorological Press.
  7. Zhan T.(Lead Author), et al., 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
  3. A situational discovery and vulnerability analysis method, system, terminal and storage medium, May 5, 2023, ZL202310029876.8

Research

1.Simulation and application of regional climate model

2.Simulation and assessment of urban flood risk

3.Development and application of agricultural ecology system models

4.Climate change impact adaptation decision-making research

Teaching

Delivered courses on Climate Change Risk Analysis and Management and Natural Hazards which supervised over 20 undergraduate students

Publications Read More

Academic achievements

  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,,Tian, Z.*, Zhang, S., Guan, Y., Ke, Q., Yang, H., 2025. Flood risk assessment by heterogeneous ensemble learning techniques: A case study of Shenzhen City, China.  Journal of Hydrology (IF=6.3, Q1), 132566.
  3. Xu,,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,,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,,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,,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,,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, , 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,,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,,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,,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,,  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.*, 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., 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.*,  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, , 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(4): 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,,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):1569-1 581.
  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, , 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(06): 126-133.
  63. Zhao, R.*, Xu, , 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,,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,,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,,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, , 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, , 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., 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,, 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, , 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,,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*.,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*., 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., 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 (7): 741-746.
  84. Tian, Z*., Xu,,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.

News More

  • 最新论文-Bridging the data gap: A new approach for reconstructing historic typhoon intensity using single station observations

    2025-08-29

  • 最新论文-A multi-objective optimization approach for harnessing rainwater in changing climate

    2025-08-29

  • 最新论文-Flood risk assessment by heterogeneous ensemble learning techniques: A case study of Shenzhen City, China

    2025-08-29

People Read More

Join us

Recruitment Notice for 2026: Climate Change and Urban Flood Risk Management Direction, Institute of Risk Analysis and Management, Southern University of Science and Technology
The research group of Researcher Zhan Tian at the Institute of Risk Analysis and Management, Southern University of Science and Technology (SUSTech), is recruiting 1 PhD student and 1–2 postdoctoral researchers. Research areas include regional climate modeling and applications, hydrological-hydrodynamic and storm surge modeling, and urban flood risk simulation and assessment. The team is primarily engaged in the NSFC Key Project "Mechanisms of Risk Response to Compound Extreme Flood Events in the Guangdong-Hong Kong-Macao Greater Bay Area." This recruitment notice remains valid until all positions are filled.
Introduction to SUSTech and the Institute of Risk Analysis and Management
Southern University of Science and Technology (SUSTech) (http://www.sustech.edu.cn), founded in 2011 and located in Shenzhen, Guangdong Province, China, Southern University of Science and Technology (SUSTech) is a public and innovative university. Its mission is to rapidly develop into a world-class research university with a strong international presence, serving as a key hub for cutting-edge scientific research and the cultivation of top-tier innovative talent in China.
The Institute of Risk Analysis, Prediction and Management (Risks-X) is a joint research institute established in 2019 by SUSTech and ETH Zurich, under the China–Switzerland Innovation Strategic Partnership. As ETH Zurich’s official base in China, Risks-X explores strategic directions in China, advances collaborative research, facilitates technology transfer and transformation, and promotes innovation cooperation between China and Switzerland. Affiliated with the Institute for Frontier and Interdisciplinary Science at SUSTech, Risks-X is co-led by Professor Didier Sornette—Fellow of the European Academy of Sciences and the Swiss Academy of Engineering Sciences, and Chair of Entrepreneurial Risks at ETH Zurich—and Professor Xiaofei Chen—Academician of the Chinese Academy of Sciences and Chair of the Department of Earth and Space Sciences at SUSTech. The institute is committed to building a revolutionary platform for dynamic risk management, grounded in interdisciplinary and data-driven approaches. Its mission is to develop real-time monitoring, simulation, trend analysis, and forecasting tools to address extreme risks in various natural and social systems. Risks-X's research spans eight highly interdisciplinary domains: financial and economic system risks, climate change, natural disasters, energy security, public health, critical infrastructure, social dynamics and stability, and cybersecurity.
Introduction To Research Group
Dr. Zhan Tian is a researcher at the Institute of Risk Analysis and Management of Southern University of Science and Technology (SUSTech), a tenured associate professor, PhD advisor, and principal investigator of a Key Project under the Ministry of Science and Technology’s National Key R&D Program. His research group has long been engaged in research on climate change and urban flood risk assessment and management. Prof. Tian has led 29 research projects, including 7 funded by the National Natural Science Foundation of China (NSFC)—comprising one Key Project, one International (Regional) Cooperation Project, two General Programs, one Young Scientists Fund, and two International Collaboration and Exchange Projects—as well as one project and two tasks under the National Key R&D Program of the Ministry of Science and Technology, two projects supported by the UK Foreign & Commonwealth Office’s China Prosperity Fund, and two projects under the UK Newton Fund. He has published over 80 academic papers in leading journals such as Nature Water, PNAS Nexus, Water Research, Climate Dynamics, and Bulletin of the Chinese Academy of Sciences, including 54 SCI-indexed articles (41 as first or corresponding author), with 27 in JCR Q1 journals and 20 in Q2. He has co-authored 7 academic books and led the preparation of 11 government policy advisory reports, 5 of which received comments or directives from national or provincial-level leaders.
The research group has established close collaborations with universities and institutions in the United States, the United Kingdom, Germany, and the Netherlands. The main international collaborator is Academician Laixiang Sun, currently a professor of geoeconomics at the College of Behavioral and Social Sciences, University of Maryland, USA, and concurrently a professor in the Department of Financial and Management Studies at SOAS, University of London. Professor Sun has published more than 170 research papers in internationally renowned academic journals and other scholarly outlets, and has authored four academic monographs. Sun’ s publications appear in leading international journals such as Nature Communications, Nature Food, Proceedings of the National Academy of Sciences of the United States of America (PNAS), Environmental Science & Technology, Water Research, Applied Energy, Climatic Change, Ecological Economics, Journal of Industrial Ecology, and Agricultural Systems. According to project needs, we welcome those with shared research interests to collaborate on scientific studies related to climate change. The main projects are as follows:
(1) NSFC Key Project: Mechanisms of Risk Response to Compound Extreme Flood Events in the Guangdong-Hong Kong-Macao Greater Bay Area;
(2) International (Regional) Cooperation and Exchange Project: Research on the Impact Mechanisms of Climate Change on the Water-Food-Energy Nexus in the Lancang-Mekong River Basin (Historical Patterns and Future Trends of Climate Change in the Lancang-Mekong River Basin).
PhD Admissions
Research areas: Applicants with a master’s degree in meteorology, oceanography, hydrology, hydrodynamics, geography, statistics, or other related disciplines are welcome to apply.
Funding and benefits: Full-time PhD students admitted in 2025 will be eligible for various scholarships and financial support, including the National Scholarship, Academic Scholarship, and National Student Grant, as well as stipends for teaching assistant (TA), research assistant (RA), administrative assistant (AA), and student counselor positions. Additional support such as emergency financial aid and “green channel” assistance is also available. For more details, please refer to the relevant regulations on the official website of the Graduate School of Southern University of Science and Technology, including the Regulations on the Administration of Graduate Student Scholarships and Financial Aid and the Implementation Measures for TA, RA, AA, and Student Counselor Positions.
Research support: Additional resources can be provided to help PhD students broaden their academic horizons, enhance their research capabilities, and publish in top-tier journals. Students with outstanding academic achievements will be supported in connecting with leading domestic and international scholars for postdoctoral opportunities upon graduation.
Postdoctoral Position
Qualifications:

A PhD degree in meteorology, oceanography, hydrology, hydrodynamics, geography, statistics, or related disciplines from a recognized domestic or international university, with a solid research background;
More than three publications in high-quality academic journals (classified as “Category III High-Level Journals”);
Experience in one or more of the following: regional climate modeling (e.g., WRF), hydrological and hydrodynamic modeling, storm surge model programming, and risk assessment modeling;
Strong skills in mathematics, statistical analysis, and modeling, as well as strong English writing and communication abilities, are preferred.

Responsibilities:

Assist the research group in carrying out current scientific research projects;
Assist in applying for national and local research funding, and actively apply for postdoctoral funds and youth research grants;
Assist in supervising PhD, master’s, and undergraduate students in the group;
Assist in the daily management and development of the research group.

Compensation and Benefits:

The postdoctoral appointment is for two years, with an annual salary starting at RMB 330,000, which includes a living subsidy of RMB 150,000 from Guangdong Province and RMB 60,000 from Shenzhen. Social insurance and housing provident fund will be provided in accordance with Shenzhen municipal regulations. Postdoctoral welfare benefits will be provided in line with university faculty standards.
Exceptionally qualified candidates may apply for the President’s Outstanding Postdoctoral Fellowship, with an annual salary exceeding RMB 500,000 (including the Guangdong and Shenzhen subsidies).
During the postdoctoral period, candidates can apply for public rental housing through the university. Those not utilizing the university’s rental housing option may receive a monthly housing subsidy of RMB 2,800 (pre-tax) for two years.
Excellent working environment and opportunities for domestic and international academic exchange. Each postdoc will receive a total of RMB 25,000 over two years for academic exchange.
The research group will assist eligible postdocs in applying for postdoctoral talent programs. If successfully awarded, total subsidies of up to RMB 1,000,000 may be granted (not to be combined with the Guangdong and Shenzhen in-station postdoctoral living subsidies).
Postdocs who secure full-time employment in Shenzhen within six months after completing their contract and sign a labor (employment) contract for three years or more with a local employer will receive a living subsidy of RMB 360,000 from the Shenzhen government (subject to the latest municipal policies).
Postdocs who are awarded funding under the Postdoctoral Innovative Talent Support Program or the Special Funding of the China Postdoctoral Science Foundation, and who sign a labor (employment) contract for three years or more in Shenzhen within six months of completing their term, will receive additional matching funding from the Shenzhen government at a 1:1 ratio based on national funding, up to a maximum of RMB 300,000 (subject to current municipal regulations).
Postdocs who win Gold, Silver, or Bronze prizes in the National or Guangdong Postdoctoral Innovation and Entrepreneurship Competitions, and who sign a labor (employment) contract for three years or more in Shenzhen within six months after their term, will receive an innovation and entrepreneurship reward from the Shenzhen government at a 1:1 ratio to the national/provincial award amount, up to a maximum of RMB 200,000 (subject to current municipal regulations).
According to Article 39 of the Shenzhen Postdoctoral Management Regulations, the above subsidy programs cannot be combined with the “Living Subsidy for Newly Introduced Doctoral Talent in Shenzhen” (RMB 100,000).

Application Method
Application Materials:

A detailed CV, including study, work, scientific research experience and bachelor's and master's transcripts, (please attach contact information);
A personal statement outlining research interests;
Names and valid contact details (institution, phone number, and email address) of three referees;
A list of academic achievements that reflect the academic level and representativeness of the applicant (such as: master's and doctoral theses and representative works, treatises, achievement certificates or awards), along with any other materials that can demonstrate the applicant’s capabilities.

Application Procedure:

Interested applicants should send the required materials to the following email address: tianz@sustech.edu.cn;
Email subject line: Application for PhD/Postdoc + Applicant’s Name + Graduating Institution.
Read More

Contact Us

Contact Address

No. 1088, Xueyuan Rd., Nanshan District, Shenzhen, Guangdong, China 518055

Office Phone

Email

tianz@sustech.edu.cn

Copyright © 2018 All Rights Reserved.