Ze Jiang
Expertise in Hydro-climatology 
Posts by Collection
people
projects
Climate Change: Impact on agriculture across Southeast Asia
Published:
Singapore-MIT Alliance project and World Bank project 
Climate Change: Impact on urban flooding in Singapore
Published:
Public Utilities Board (PUB) project 
ABC Waters: Low impact development (LID) for Singapore environment
Published:
PUB-TMSI-Monash University project 
Drought Prediction across Australia
Published:
ARC linkage grant and Department of Industry, NSW, Australia 
publications
Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia
Published in Procedia Engineering, 2016
This paper is about time-area function model.
Recommended citation: 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. https://doi.org/10.1016/j.proeng.2016.07.493
Future changes in rice yields over the Mekong River Delta due to climate change-Alarming or alerting?
Published in Theoretical and Applied Climatology, 2018
This paper is about future changes in rice yields over the Mekong River Delta due to climate change.
Recommended citation: 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. https://doi.org/10.1007/s00704-018-2617-z
Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias
Published in Advances in Water Resources, 2019
This paper is about the sensitivity of hydro-climatological change detection methods to model uncertainty and bias.
Recommended citation: 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. https://doi.org/10.1016/j.advwatres.2019.103430
Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling
Published in Water Resources Research, 2020
This paper is about a wavelet-based system prediction method.
Recommended citation: 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. https://doi.org/10.1029/2019WR026962
Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer
Published in Agricultural Finance Review, 2020
This paper is about using regional climate models to develop index-based drought insurance for sovereign disaster risk transfer.
Recommended citation: 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. https://doi.org/10.1108/AFR-02-2020-0020
A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies
Published in Environmental Modelling & Software, 2020
This paper is about an extended wavelet-based system prediction method.
Recommended citation: 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. https://doi.org/10.1016/j.envsoft.2020.104907
A signal processing approach to correct systematic bias in trend and variability in climate model simulations
Published in Geophysical Research Letters, 2021
This paper is about a new bias correction method.
Recommended citation: 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. https://doi.org/10.1029/2021GL092953
Variable transformations in the spectral domain – Implications for hydrologic forecasting
Published in Journal of Hydrology, 2021
This paper is about an extended wavelet-based system prediction method.
Recommended citation: Jiang, Z., Sharma, A., & Johnson, F. (2021). "Variable transformations in the spectral domain – Implications for hydrologic forecasting." Journal of Hydrology. 603, 126816. https://doi.org/10.1016/j.jhydrol.2021.126816
Investigating the Linkage between Extreme Rainstorms and Concurrent Synoptic Features: A Case Study in Henan, Central China
Published in Water, 2022
This paper is about investigating the relationship between extreme rainfall and climate variables.
Recommended citation: 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. 14(7), 1065. https://doi.org/10.3390/w14071065
Correcting systematic bias in climate model simulations in the time-frequency domain
Published in Geophysical Research Letters, 2022
This paper is about a new bias correction method.
Recommended citation: 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(19), e2022GL100550. https://doi.org/10.1029/2022GL100550
A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain
Published in Monthly Weather Review, 2023
This paper is about a wavelet-based quantile mapping method.
Recommended citation: 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. https://doi.org/10.1175/MWR-D-22-0217.1
Do derived drought indices better characterize future drought change?
Published in Earth‘s Future, 2023
This paper is about a new method for future drought prediction.
Recommended citation: Jiang, Z., Johnson, F., & Sharma, A. (2023). "Do derived drought indices better characterize future drought change?" Earth‘s Future, 11(7), e2022EF003350. https://doi.org/10.1029/2022EF003350
Machine Learning Prediction of Phosphate Adsorption on Six Different Metal-Containing Adsorbents
Published in ACS ES&T Engineering, 2023
This paper is about using Machine Learning for phosphate adsorption prediction.
Recommended citation: Wu, Yangyang; Li, Yingze; Jiang, Ze; Xu, Ziyang; Yang, Mingbao; Ding, Jiahui; Zhang, Changyong. (2023). "Machine Learning Prediction of Phosphate Adsorption on Six Different Metal-Containing Adsorbents." ACS ES&T Engineering, acsestengg.3c00001. https://doi.org/10.1021/acsestengg.3c00001
software
Predictor identifier: Nonparametric PREDiction (NPRED)
The open-source R package NPRED is used to identify the meaningful predictors to the response from a large set of potential predictors.
WASP: Wavelet System Prediction
The open-source software WASP is used for system modeling and prediction.
WQM: Wavelet-based Quantile Mapping
The open-source software WQM is used for post-processing numerical weather prediction.
synthesis: Generate Synthetic Data from Statistical Models
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems.
talks
Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia
Published:
Recommended citation: Jiang, Z., Molkenthin, F., & Sieker, H. (2016). Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia. 12th International Conference on Hydroinformatics HIC 2016, Poster, Songdo Convensia Convention Center, 21-26 August 2016, FP-10.
Impacts of Climate Change on Rice Crop Yields in Vietnam
Published:
Recommended citation: Jiang, Z., Raghavan, S. V., Hur, J., Sun, Y., and Liong, S.-Y.: Impacts of Climate Change on Rice Crop Yields in Vietnam, Asia Oceania Geosciences Society (AOGS) 2017, Suntec Singapore Convention & Exhibition Centre, 6-11 August 2017, IG04-A026. Download talk here
Drought prediction for improved water resource management: A wavelet-based system prediction approach
Published:
Recommended citation: Jiang, Z., Sharma, A., and Johnson, F.: Drought prediction for improved water resource management: A wavelet-based system prediction approach, STAHY 2019, Wentian Building, Hohai University, Nanjing, 19-20 October 2019. Download talk here
A wavelet-based method to analyse sustained hydrological anomalies under climate change
Published:
Recommended citation: Jiang, Z., Sharma, A., and Johnson, F.: A wavelet-based method to analyse sustained hydrological anomalies under climate change, MODSIM 2019, National Convention Centre Canberra, 1-6 December 2019, K22. Download talk here
Forecasting drought revisited - the importance of spectral transformations to dominant atmospheric predictor variables
Published:
Recommended citation: Sharma, A., Jiang, Z., and Johnson, F.: Forecasting drought revisited - the importance of spectral transformations to dominant atmospheric predictor variables, EGU General Assembly 2020, Online, 4-8 May 2020, EGU2020-12334, https://doi.org/10.5194/egusphere-egu2020-12334, 2020. Download talk here
Hydro-climatological forecasting: A view from the spectral domain
Published:
Recommended citation: Jiang, Z., Sharma, A. and Johnson, F., Hydro-climatological forecasting: A view from the spectral domain. In AGU Fall Meeting 2020. San Francisco, CA, USA, H184-07. Link Download PPT Video
Advanced wavelet-based variance transformation algorithms for ENSO forecasting over long lead times
Published:
Recommended citation: Jiang, Z., Sharma, A., and Johnson, F.: Advanced wavelet-based variance transformation algorithms for ENSO forecasting over long lead times, MODSIM 2021, The University of Sydney and International Convention Centre, 5-10 December 2021, K5. Video
Applications of the wavelet-based method for postprocessing rainfall forecasts – Implications for urban flood forecasting
Published:
Recommended citation: Jiang, Z., & Johnson F.: Applications of the wavelet-based method for postprocessing rainfall forecasts – Implications for urban flood forecasting, Asia Oceania Geosciences Society (AOGS) 2022, Singapore, 1-5 August 2022, HS37-A006. Download talk here
Hydrologic forecasting over long lead times: A wavelet-based variance transformation approach
Published:
Recommended citation: Jiang, Z., Sharma, A., & Johnson F.: Hydrologic forecasting over long lead times: A wavelet-based variance transformation approach, Asia Oceania Geosciences Society (AOGS) 2022, Singapore, 1-5 August 2022, HS34-A011. Download talk here
Could the 2019-20 Australia bushfires or 2020-22 floods be predicted using CMIP decadal prediction?
Published:
Recommended citation: Jiang, Z., Choudhury, D., and Sharma, A.: Could the 2019-20 Australia bushfires or 2020-22 floods be predicted using CMIP decadal prediction?, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10096, https://doi.org/10.5194/egusphere-egu23-10096, 2023. Download talk here
Wavelet-based post-processing of NWP precipitation forecasts
Published:
Recommended citation: Johnson, F. and Jiang, Z.: Wavelet-based post-processing of NWP precipitation forecasts, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-14123, https://doi.org/10.5194/egusphere-egu23-14123, 2023. Download talk here
Enhancing water supply management through improved rainfall anomaly forecasting over medium to long term
Published:
Recommended citation: Jiang, Z., Kibria, G., and Sharma, A.: Enhancing water supply management through improved rainfall anomaly forecasting over medium to long term, International Union of Geodesy and Geophysics (IUGG) 2023, Berlin, Germany, 11–20 July 2023, IUGG23-4782, https://doi.org/10.57757/IUGG23-4782. Download talk here
Unlocking the Future of Rainfall: Enhancing Interannual Forecasts with Spectral Transformations of CMIP Decadal Predictions
Published:
Recommended citation: Jiang, Z., Choudhury, D., and Sharma, A.: Unlocking the Future of Rainfall: Enhancing Interannual Forecasts with Spectral Transformations of CMIP Decadal Predictions, Asia Oceania Geosciences Society (AOGS) 2023, Singapore, 31 July-04 August 2023, HS10-A010. Download talk here
Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections
Published:
Recommended citation: Jiang, Z., Kibria, G., and Sharma, A.: Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13279, https://doi.org/10.5194/egusphere-egu24-13279, 2024. Download talk here
Enhanced daily streamflow simulation for future climates using a non-parametric method with variable selection and transformation
Published:
Recommended citation: Jiang, Z., Haberlandt, U., and Sharma, A.: Enhanced daily streamflow simulation for future climates using a non-parametric method with variable selection and transformation, Asia Oceania Geosciences Society (AOGS) 2024, South Korea, 23 June-28 June 2024, HS13-A009. Download talk here
teaching
CVEN3501 Water Resources Engineering
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
- Teaching period: T1, 2019
- Position: Teaching Assistant
- Role: Demonstrator and Tutor
- Number of students: 610
- Course Profile: Handbook
CVEN9625 Fundamentals of Water Engineering
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
- Teaching period: S2, 2018; T1&3, 2019.
- Position: Teaching Assistant
- Role: Demonstrator and Tutor
- Number of students: ~200
- Course Profile: Handbook
CVEN9612 Catchment and Water Resources Modelling
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2023
- Teaching period: T3, 2022-2024.
- Position: Coordinator
- Role: Demonstrator and Instructor
- Number of students: ~20
- Course Profile: Handbook
CVEN4507 Advanced Water Engineering
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2024
- Teaching period: T2, 2024.
- Position: Instructor
- Role: Demonstrator & Workshops
- Number of students: ~20
- Course Profile: Handbook