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The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. A supporting open-source software, Wavelet System Prediction (WASP), can be found under page of Software.
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GitHub Pages is a static site hosting service that takes HTML, CSS, and JavaScript files straight from a repository on GitHub, optionally runs the files through a build process, and publishes a website.
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A word cloud is a collection or cluster of words described in different sizes. The larger the word appears, the more times it is mentioned in a given text, and the more important it is.
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LaTeX is a document preparation system for high-quality typesetting. It is most often used for medium-to-large technical or scientific documents, but it can be used for almost any form of publishing.
Expertise in Hydro-climatology
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Singapore-MIT Alliance project and World Bank project
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Public Utilities Board (PUB) project
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PUB-TMSI-Monash University project
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ARC linkage grant and Department of Industry, NSW, Australia
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
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
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
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
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
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
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
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
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
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
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
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
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
The open-source R package NPRED is used to identify the meaningful predictors to the response from a large set of potential predictors.
The open-source software WASP is used for system modeling and prediction.
The open-source software WQM is used for post-processing numerical weather prediction.
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems.
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2023
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2024