By Dr Ze Jiang

Book Chapters

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, http://dx.doi.org/10.1007/978-981-10-7218-5_39

Journal articles

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, http://dx.doi.org/10.1021/acsestengg.3c00001

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, http://dx.doi.org/10.1175/MWR-D-22-0217.1

Jiang Z; Johnson F; Sharma A, 2023, 'Do Derived Drought Indices Better Characterize Future Drought Change?', Earth's Future, 11, http://dx.doi.org/10.1029/2022EF003350

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, http://dx.doi.org/10.1029/2022GL100550

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, http://dx.doi.org/10.3390/w14071065

Jiang Z; Sharma A; Johnson F, 2021, 'Variable transformations in the spectral domain – Implications for hydrologic forecasting', Journal of Hydrology, 603, http://dx.doi.org/10.1016/j.jhydrol.2021.126816

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, http://dx.doi.org/10.1029/2021GL092953

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, http://dx.doi.org/10.1108/AFR-02-2020-0020

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, http://dx.doi.org/10.1016/j.envsoft.2020.104907

Jiang Z; Sharma A; Johnson F, 2020, 'Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling', Water Resources Research, 56, http://dx.doi.org/10.1029/2019WR026962

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, http://dx.doi.org/10.1016/j.advwatres.2019.103430

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, http://dx.doi.org/10.1007/s00704-018-2617-z

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, http://dx.doi.org/10.1016/j.chemosphere.2013.10.036

Conference Papers

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, http://dx.doi.org/10.1016/j.proeng.2016.07.493

Conference Presentations

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, https://youtu.be/8ZbFXUUOJeY

Jiang Z; Sharma A; Johnson F, 2020, 'Hydro-climatological forecasting: A view from the spectral domain', presented at AGU, 15 December 2020, https://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/679238

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, http://dx.doi.org/10.5194/egusphere-egu2020-12334

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

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

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

Other

Haberlandt U; Jiang Z; Brunner M; Chartier-Rescan C; Brandt A; Sharma A, 2024, Climate informed non-stationary simulation of daily streamflow – a comparison of three stochastic models, http://dx.doi.org/10.5194/egusphere-egu24-10852

Jiang Z; Kibria G; Sharma A, 2024, Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections, http://dx.doi.org/10.5194/egusphere-egu24-13279

Jiang Z; Choudhury D; Sharma A, 2023, Could the 2019-20 Australia bushfires or 2020-22 floods be predicted using CMIP decadal prediction?, http://dx.doi.org/10.5194/egusphere-egu23-10096

Johnson F; Jiang Z, 2023, Wavelet-based post-processing of NWP precipitation forecasts, http://dx.doi.org/10.5194/egusphere-egu23-14123

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