Climate Change: Impact on agriculture across Southeast Asia
Published:
Singapore-MIT Alliance project and World Bank project 
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Climate Change: Impact on urban flooding in Singapore
Published:
Public Utilities Board (PUB) project 
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
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 
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
CVEN3501 Water Resources Engineering
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
CVEN9625 Fundamentals of Water Engineering
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
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 predition 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
Word to Latex: Writing papers the right way
Published:
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
Advanced wavelet-based variance transformation algorithms for ENSO forecasting over long lead times
Published:
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
Hydrologic forecasting over long lead times: A wavelet-based variance transformation approach
Published:
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/e2022GL100550
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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.
Lixian Su
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synthesis: Generate Synthetic Data from Statistical Models
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems.