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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
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
Undergraduate course, Department of Mathematics, HKUST, 1900