Ze Jiang

Dr. Ze Jiang is a Lecturer and Australian Research Council (ARC) Early Career Industry Fellow at the School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney. He specializes in hydroclimate extremes modeling and forecasting, with significant contributions to spectral transformation methods for climate predictions.

Education:

• Ph.D. in Water Resources Engineering, UNSW (2021)
• M.Sc. in Hydro-Informatics and Water Management, European Universities Consortium (2015)
• B.Eng. in Environmental Engineering, Hohai University, China (2012)

Dr. Jiang's research focuses on developing innovative tools for climate and hydrological forecasting. His pioneering work includes the Wavelet System Prediction (WASP) method for predicting sustained hydroclimate anomalies like droughts and floods. Research areas span spectral transformations in climate data, bias correction techniques for weather models, drought index development, climate change impacts on agriculture, and flood risk management in data-scarce environments.

His publications primarily explore spectral transformation techniques applied to hydroclimate forecasting. Recent work demonstrates consistent innovation in improving prediction accuracy for rainfall, floods, and droughts through frequency-domain manipulation of climate variables, with emerging applications in machine learning and climate risk financing.

Awards:

• ARC Early Career Industry Fellowship (2024-2026)

Grants:

• ARC Early Career Industry Fellowship: 'A Decadal Roadmap for Water Security' ($332K AUD, 2024-2026)
• UNSW Global Research Partnership: 'Index-based Insurance for Agriculture Risk Transfer' ($20K AUD, 2023-2024)
• Helmholtz Visiting Researcher Grant: 'Flood Extremes Estimation' (€20K, 2023)

He leads research at the Water Research Centre and collaborates internationally, including a visiting fellowship at GFZ-Potsdam (Germany). Current projects focus on decadal drought forecasting frameworks and climate-informed water resource management solutions.