Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165523
Title: Fitting parametric tropical cyclone-induced rainfall model for tropical cyclones landfalling onto the Northern Vietnam coast
Authors: Angkanasirikul, Warinthorn
Wei, Jian
Lo, Edmond Yat-Man
Keywords: Science::Geology
Issue Date: 2023
Source: Angkanasirikul, W., Wei, J. & Lo, E. Y. (2023). Fitting parametric tropical cyclone-induced rainfall model for tropical cyclones landfalling onto the Northern Vietnam coast. Asia Oceania Geosciences Society 20th Annual Meeting (AOGS2023).
Conference: Asia Oceania Geosciences Society 20th Annual Meeting (AOGS2023)
Abstract: Tropical cyclones (TCs) can cause major flooding individually or collectively due to wind, storm surges and rainfall. This study applies the parametric rainfall climatology and persistence (R-CLIPER) model to analyse the axisymmetric component of 14 TC rainfall events in Northern Vietnam with the observed rainfall dataset from the Global Precipitation Mission from 2001 to 2021. The R-CLIPER model uses two inputs from TC track information: the maximum wind speed and radial distance from the TC centre. Four parameters represent the axisymmetric profile of rainfall rates: T0, Tm, rm, and re. T0 and Tm describe the rainfall intensity at the TC centre, and the maximum intensity which is located at radial distance rm from the centre, respectively. The fall-off from the maximum is exponential with a characteristic distance re. The R-CLIPER model generally assumes linear relationships between the four parameters and a normalised maximum wind speed (U). We adopt the operational coefficients by the National Hurricane Center (NHC) for the Western Pacific region as the initial setting. The observed TC rainfall profiles are further used to fit the parameters using the least-square method. Performance of the R-CLIPER with the initial and fitted settings for predicting the observed 14 rainfall profiles is assessed. T0 and Tm are found to be better represented by logarithm relationships with U, and rm by an exponential relationship, based on their improved R2 values over the R-CLIPER with NHC coefficients for the 14 historical TC events. At 0.1-degree resolution, the equitable threat score demonstrated significant improvement, almost six times at the 100 mm rainfall threshold. Improved root mean square error and bias are also seen for the cumulative rainfall volume and the averaged rainfall intensity. For instance, the bias has reduced by around 50% with the new relationships of the parameters and U in most cases.
URI: https://hdl.handle.net/10356/165523
URL: https://www.asiaoceania.org/aogs2023/public.asp?page=home.asp
Schools: Interdisciplinary Graduate School (IGS) 
School of Civil and Environmental Engineering 
Departments: Interdisciplinary Gradaute Programme
Research Centres: Institute of Catastrophe Risk Management (ICRM) 
Rights: © 2023. All Rights Reserved. Conference Managed by Meeting Matters International.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IGS Conference Papers

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