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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

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

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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: Download

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: Download