Download CV (Eng,Chi)

Education

• B.Eng. in Environmental Engineering, Hohai University, Nanjing, China, 2012
• M.Sc. in Hydro-Informatics and Water Management, Partnership of five European Universities, 2015
• Ph.D. in Water Resources Engineering, University of New South Wales, Sydney, Australia, 2021

Research Interests

• Hydro-climatological modelling and forecasting
• Climate change impact on the water cycle (e.g. floods and droughts)
• Hydrological and water quality modelling
• HydroInformatics and water management

Research Highlights

• Development of spectral transformation and its application in hydro-climatology
• An open-source tool for improved system modelling: Wavelet System Prediction (WASP)
• Quantification of future changes in drought and agricultural production under global warming
• Development of index-based drought insurance for disaster risk transfer

Work experience

• Jun. 2021 - Current: Postdoctoral Research Fellow
  • Water Research Centre, University of New South Wales, Sydney, Australia
  • Duties included:
    • Bias characterisation and correction in Numerical Weather Prediction (NWP) models
    • CMIP decadal prediction for rainfall forecasting
  • Supervisors: Prof. Ashish Sharma and A/Prof. Fiona Johnson
• Nov. 2015 - Feb. 2018: Research Assistant/Engineer
  • Tropical Marine Science Institute, National University of Singapore, Singapore
  • Duties included:
    • Lead the Crop Modelling on Prediction of Rice Yield with DSSAT in Vietnam - Climate Change and Food Security Studies.
    • Involve in the Development of Index-based Drought Insurance for Sovereign Disaster Risk Transfer, World Bank Project.
    • Involve in the Study on Impact of Climate Change on Inland and Coastal Flooding in Singapore, Public Utilities Board Project.
    • Involve in the Effectiveness of ABC Waters Design Features (Sponge Cities) for Runoff Quantity Control in Singapore, Public Utilities Board Project.
  • Supervisor: Prof. Shie-Yui Liong
• Mar. 2015 - Sep. 2015: Intern
  • Ingenieurgesellschaft Prof. Dr. Sieker mbH, Berlin, Germany
  • Duties included:
    • Lead the Development of the Time-Area Function Model Based on QGIS Environment for Stormwater Management.
    • Involve in a Project in Saudi Arabia on Flood Modelling and Mitigation of Hafar Al-Batin City.
  • Supervisor: Prof. Frank Molkenthin and Prof. Heiko Sieker

Publications

Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia

Jiang, Z., Molkenthin, F., & Sieker, H. (2016). "Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia." Procedia Engineering. 154, 911-918.

Future changes in rice yields over the Mekong River Delta due to climate change-Alarming or alerting?

Jiang, Z., Raghavan, S. V., Hur, J., Sun, Y., Liong, S.-Y., Nguyen, V. Q., & Van Pham Dang, T. (2019). "Future changes in rice yields over the Mekong River Delta due to climate change-Alarming or alerting?." Theoretical and Applied Climatology. 137(1), 545-555.

Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias

Jiang, Z., Sharma, A., & Johnson, F. (2019). "Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias." Advances in Water Resources. 134, 103430.

Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling

Jiang, Z., Sharma, A., & Johnson, F. (2020). "Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling." Water Resources Research. 56(3), e2019WR026962.

Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer

Hohl, R., Jiang, Z., Tue Vu, M., Raghavan, S. V., & Liong, S.-Y. (2020). "Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer." Agricultural Finance Review. 81(1), 151-168.

A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies

Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020). "A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies." Environmental Modelling & Software. 135, 104907.

A signal processing approach to correct systematic bias in trend and variability in climate model simulations

Kusumastuti, C., Jiang, Z., Mehrotra R., & Sharma, A. (2021). "A signal processing approach to correct systematic bias in trend and variability in climate model simulations." Geophysical Research Letters. 48(13), e2021GL092953.

Variable transformations in the spectral domain – Implications for hydrologic forecasting

Jiang, Z., Sharma, A., & Johnson, F. (2021). "Variable transformations in the spectral domain – Implications for hydrologic forecasting." Journal of Hydrology. 603, 126816.

Talks

Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia

August 24, 2016

Talk at Songdo Convensia Convention Center, Incheon, South Korea

Impacts of Climate Change on Rice Crop Yields in Vietnam

August 11, 2017

Talk at Suntec Singapore Convention & Exhibition Centre, Singapore

Drought prediction for improved water resource management: A wavelet-based system prediction approach

October 19, 2019

Talk at Wentian Building, Hohai University, Nanjing, China

A wavelet-based method to analyse sustained hydrological anomalies under climate change

December 05, 2019

Talk at Royal Theatre, Canberra, Australia

Forecasting drought revisited - the importance of spectral transformations to dominant atmospheric predictor variables

May 08, 2020

Talk at Online, Vienna, Austria

Hydro-climatological forecasting: A view from the spectral domain

December 15, 2020

Talk at Online, San Francisco, CA, USA

Teaching

CVEN3501 Water Resources Engineering

CVEN9625 Fundamentals of Water Engineering

Languages

Chinese, English

Skills & Expertise

• Statistical hydrology and water resource engineering.
• Programming Skills: R, C/C++, and Python in both Unix and Windows systems.
• Rich experience in modeling and GIS, using MIKE, SWMM, DSSAT, and QGIS.

Service and leadership

• Contribute to First Order Draft of IPCC 6th Assessment Report (FOD-WGII-AR6) as a group reviewer
• Contribute to Second Order Draft of IPCC 6th Assessment Report (SOD-WGI-AR6) as a group reviewer
• Reviewer for Scholarly Journals:
  • Journal of Hydrology
  • Frontiers in Water
  • International Journal of River Basin Management

Membership

• American Geosciences Union (AGU)
• Asia Oceania Geosciences Society (AOGS)
• International Commission of Statistical Hydrology (ICSH-IAHS)
• Modeling and Simulation Society of Australia and New Zealand (MSSANZ)