Ze Jiang

This is Ze Jiang’s personal homepage. Please also refer to my homepage@UNSW.

A short introduction

Dr Ze Jiang is an Australian Research Council (ARC) Early Career Industry Fellow, in partnership with WaterNSW, and a research associate at the University of New South Wales (UNSW) in Sydney, specializing in hydroclimate extremes modelling and forecasting. With a Ph.D. in Water Resources Engineering from UNSW, 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 spectral transformation technique and its application in hydroclimate extremes modelling and forecasting
• An open-source tool for improved system modelling: Wavelet System Prediction (WASP)
• Development of a postprocessing method and software for correcting bias in Numerical Weather Predictions in the time-frequency domain
• Quantification of future changes in drought and agricultural production under global warming
• Development of index-based drought insurance for disaster risk transfer

Selected Journal Publications

Jiang, Z., Johnson, F., & Sharma, A. (2023). Do derived drought indices better characterize future drought change? Earth’s Future, 11(7), e2022EF003350. link

Jiang, Z., & Johnson, F. (2023). A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain. Monthly Weather Review, 151(8): 1909-1925. link

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

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. link

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. link

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. link

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. link

For more information

More info about Ze Jiang can be found in CV or downloaded CV.