Mrs Phuong Loan Nguyen
Research Associate

Mrs Phuong Loan Nguyen

PhD, University of New South Wales, 2023
Master's, Pohang University of Science and Technology (South Korea), 2018
Bachelor of Environmental Science Vietnam National University, University of Science (HUS) 2014

Climate Change Research Centre
  • Journal articles | 2023
    2023, 'Selecting regional climate models based on their skill could give more credible precipitation projections over the complex Southeast Asia region', Climate Dynamics,
    Journal articles | 2022
    2022, 'More intense daily precipitation in CORDEX-SEA regional climate models than their forcing global climate models over Southeast Asia', International Journal of Climatology, 42, pp. 6537 - 6561,
    Journal articles | 2021
    Nguyen PL; Min SK; Kim YH, 2021, 'Combined impacts of the El Niño-Southern Oscillation and Pacific Decadal Oscillation on global droughts assessed using the standardized precipitation evapotranspiration index', International Journal of Climatology, 41, pp. E1645 - E1662,
    Journal articles | 2020
    Alexander LV; Bador M; Roca R; Contractor S; Donat MG; Nguyen PL, 2020, 'Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products', Environmental Research Letters, 15,
    Journal articles | 2020
    Nguyen PL; Bador M; Alexander LV; Lane TP; Funk CC, 2020, 'On the Robustness of Annual Daily Precipitation Maxima Estimates Over Monsoon Asia', Frontiers in Climate, 2,

My research focuses on understanding how well current state-of-the-art regional climate modeling simulations capture observed variability and change in precipitation extremes and how current model limitations (e.g. parameterization scheme) could impact future projections. The work involves applying a benchmarking framework that includes observational uncertainty and
a process-based understanding of regional domains worldwide, in order to address common modeling limitations.  I'm also planning to perform my own simulations to address key research questions related to the project. The ultimate goal is that identified model failings will feed into model development strategies and support enhanced decision-making informed by regional climate model simulations.