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T. Trinh
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Journal Articles

Hydrologic modeling by means of a hybrid downscaling approach: an application to the Sai Gon–Dong Nai Rivers Basin

Open Access
T. Trinh, V. T. Nguyen, N. Do, K. Carr, D. H. Tran ...
Journal of Water and Climate Change (2022) 13 (2): 407–420.
DOI: https://doi.org/10.2166/wcc.2021.426
Date Online: 09 December 2021
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View articletitled, Hydrologic modeling by means of a hybrid downscaling approach: an application to the Sai Gon–Dong Nai Rivers Basin View PDF for article titled, Hydrologic modeling by means of a hybrid downscaling approach: an application to the Sai Gon–Dong Nai Rivers Basin
Journal Articles

Development of high-resolution 72 h precipitation and hillslope flood maps over a tropical transboundary region by physically based numerical atmospheric–hydrologic modeling

Free
T. Trinh, C. Ho, N. Do, A. Ercan, M. L. Kavvas
Journal of Water and Climate Change (2020) 11 (S1): 387–406.
DOI: https://doi.org/10.2166/wcc.2020.062
Date Online: 22 July 2020
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View articletitled, Development of high-resolution 72 h precipitation and hillslope flood maps over a tropical transboundary region by physically based numerical atmospheric–hydrologic modeling View PDF for article titled, Development of high-resolution 72 h precipitation and hillslope flood maps over a tropical transboundary region by physically based numerical atmospheric–hydrologic modeling
Journal Articles

Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections

Available to Purchase
K. Ishida, A. Ercan, T. Trinh, S. Jang, M. L. Kavvas ...
Journal of Water and Climate Change (2020) 11 (1): 86–105.
DOI: https://doi.org/10.2166/wcc.2018.241
Date Online: 03 September 2018
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View articletitled, Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections View PDF for article titled, Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections