¹úÃñ²ÊƱ
Back to
Dr Ze Jiang

Dr Ze Jiang

Lecturer

Ph.D. - Water Resources Engineering, University of New South Wales, Sydney, Australia, 2021

M.Sc. - Hydro-Informatics and Water Management, Partnership of five European Universities, 2015

B.Eng. - Environmental Engineering, Hohai University, Nanjing, China, 2012

Engineering
Water Research Centre

Lecturer in the School of Civil and Environmental Engineering

Dr. Ze Jiang is an Australian Research Council (ARC) Early Career Industry Fellow, in partnership with WaterNSW, and Lecturer at the University of New South Wales (¹úÃñ²ÊƱ) in Sydney, specializing in hydroclimate extremes modelling and forecasting. With a Ph.D. in Water Resources Engineering from ¹úÃñ²ÊƱ, obtained in 2021, Dr. Jiang's doctoral research led to the development of a novel method called Wavelet System Prediction (WASP), capable of predicting sustained hydroclimate anomalies such as droughts or periods of flooding. Dr. Jiang's academic journey began with a bachelor's degree in Environmental Engineering from Hohai University in China in 2012, followed by a Joint M.Sc. program called "EuroAquae - HydroInformatics and Water Management", a partnership between five European universities. Before his doctoral studies, he gained valuable professional experience working for two years at the National University of Singapore (NUS). In 2023, Dr. Jiang further expanded his research horizons as a visiting research fellow at GFZ-Potsdam in Germany, supported by the Helmholtz Information & Data Science Academy (HIDA) grant.

Research Highlights:
  • Development of a  and its applications in hydro-climatology
  • ´¡²ÔÌý for improved system modelling: 
  • Development of a Ìý²¹²Ô»åÌý for correcting bias in Numerical Weather Predictions in the time-frequency domain
  • Quantification of future changes in Ìý²¹²Ô»åÌý under global warming
  • Development of  for disaster risk transfer
E-mail
ze.jiang@unsw.edu.au
Location
External
  • Book Chapters | 2018
    Kim D; Sun Y; Wendi D; Jiang Z; Liong SY; Gourbesville P, 2018, 'Flood Modelling Framework for Kuching City, Malaysia: Overcoming the Lack of Data', in Springer Water, pp. 559 - 568,
  • Journal articles | 2025
    Jiang Z; Choudhury D; Sharma A, 2025, 'Spectrally transformed CMIP6 decadal projections improve interannual rainfall forecasts', Journal of Hydrology, 655, pp. 132870 - 132870,
    Journal articles | 2025
    Jiang Z; Sharma A, 2025, 'Decadal drought prediction via spectral transformation of projected Sea Surface Temperatures', Journal of Hydrology X, 27,
    Journal articles | 2023
    Jiang Z; Johnson F; Sharma A, 2023, 'Do Derived Drought Indices Better Characterize Future Drought Change?', Earth's Future, 11,
    Journal articles | 2023
    Jiang Z; Johnson F, 2023, 'A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain', Monthly Weather Review, 151, pp. 1909 - 1925,
    Journal articles | 2023
    Wu Y; Li Y; Jiang Z; Xu Z; Yang M; Ding J; Zhang C, 2023, 'Machine Learning Prediction of Phosphate Adsorption on Six Different Metal-Containing Adsorbents', ACS ES and T Engineering, 3, pp. 1135 - 1146,
    Journal articles | 2022
    Kusumastuti C; Jiang Z; Mehrotra R; Sharma A, 2022, 'Correcting Systematic Bias in Climate Model Simulations in the Time-Frequency Domain', Geophysical Research Letters, 49,
    Journal articles | 2022
    Lang Y; Jiang Z; Wu X, 2022, 'Investigating the Linkage between Extreme Rainstorms and Concurrent Synoptic Features: A Case Study in Henan, Central China', Water (Switzerland), 14,
    Journal articles | 2021
    Hohl R; Jiang Z; Tue Vu M; Vijayaraghavan S; Liong SY, 2021, 'Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer', Agricultural Finance Review, 81, pp. 151 - 168,
    Journal articles | 2021
    Jiang Z; Rashid MM; Johnson F; Sharma A, 2021, 'A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies', Environmental Modelling and Software, 135, pp. 104907,
    Journal articles | 2021
    Jiang Z; Sharma A; Johnson F, 2021, 'Variable transformations in the spectral domain – Implications for hydrologic forecasting', Journal of Hydrology, 603,
    Journal articles | 2021
    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,
    Journal articles | 2020
    Jiang Z; Sharma A; Johnson F, 2020, 'Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling', Water Resources Research, 56,
    Journal articles | 2019
    Jiang Z; Raghavan SV; Hur J; Sun Y; Liong SY; Nguyen VQ; 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, pp. 545 - 555,
    Journal articles | 2019
    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, pp. 103430,
    Journal articles | 2014
    Liu J; Lu G; Wang Y; Yan Z; Yang X; Ding J; Jiang Z, 2014, 'Bioconcentration, metabolism, and biomarker responses in freshwater fish Carassius auratus exposed to roxithromycin', Chemosphere, 99, pp. 102 - 108,
  • Other | 2025
    Haberlandt U; Jiang Z; Brunner M; Chartier-Rescan C; Brandt A; Sharma A, 2025, Climate informed non-stationary simulation of daily streamflow – a comparison of three stochastic models,
    Other | 2025
    Jiang Z; Kibria G; Sharma A, 2025, Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections,
    Other | 2025
    Jiang Z; Merz B; Sharma A, 2025, Enhancing Seasonal Flood Forecasts through Spectral Transformation of Hydroclimatic Covariates ,
    Other | 2025
    Wu X; Jiang Z; Sharma A, 2025, Predicting extreme precipitation events using machine learning techniques based on cumulative distribution function (CDF) analysis of meteorological factors,
    Other | 2023
    Jiang Z; Choudhury D; Sharma A, 2023, Could the 2019-20 Australia bushfires or 2020-22 floods be predicted using CMIP decadal prediction?,
    Other | 2023
    Johnson F; Jiang Z, 2023, Wavelet-based post-processing of NWP precipitation forecasts,
    Conference Presentations | 2021
    Jiang Z; Sharma A; Johnson F, 2021, 'Advanced wavelet-based variance transformation algorithms for ENSO forecasting over long lead times', presented at MODSIM2021, 08 December 2021,
    Conference Presentations | 2020
    Jiang Z; Sharma A; Johnson F, 2020, 'Hydro-climatological forecasting: A view from the spectral domain', presented at AGU, 15 December 2020,
    Conference Presentations | 2020
    Sharma A; Jiang Z; Johnson F, 2020, 'Forecasting drought revisited – the importance of spectral transformations to dominant atmospheric predictor variables', presented at EGU General Assembly, 08 May 2020,
    Conference Presentations | 2019
    Jiang Z; Sharma A; Johnson F, 2019, 'A wavelet-based method to analyse sustained hydrological anomalies under climate change', presented at MODSIM, 05 December 2019
    Conference Presentations | 2019
    Jiang Z; Sharma A; Johnson F, 2019, 'Drought prediction for improved water resource management: A wavelet-based system prediction approach', presented at STAHY 2019, Nanjing, Jiangsu, China, 19 October 2019
    Conference Presentations | 2018
    Jiang Z; Sharma A; Johnson F, 2018, 'Assessing the impact of systematic biases in detection of hydrologic change across Australia', presented at STAHY 2018, Adelaide, South Australia, Australia, 18 September 2018
    Conference Papers | 2016
    Jiang Z; Molkenthin F; Sieker H, 2016, 'Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia', in Procedia Engineering, pp. 911 - 918,

2024-26, (~$332K AUD, Chief Investigator, 50 in all disciplines, Australia).ÌýTitle: A Decadal Roadmap for Water Security and Resource Management.

2023-24,ÌýGlobal Research and Innovation Partnerships (~$20K AUD, Chief Investigator), ¹úÃñ²ÊƱ GLOBAL DIVISION. Title: Index-based Insurance for Agriculture Risk Transfer under a Changing Climate.

2023,ÌýHelmholtz Visiting Researcher Grant (~$20K EUR, Chief Investigator), Helmholtz Association of German Research Centers. Title: A novel method to estimate flood extremes using spectrally transformed climate information.

See Australian Research Council Grants at .Ìý

My Teaching

Teaching Activities: