Gwo-Fong Lin

Prof. Gwo-Fong Lin

Department of Civil Engineering, National Taiwan University, Taipei, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

44Years (1983-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2006 in Journal of Hydrology
Verified
Journal Article
Closed access
GLGwo-Fong Lin
Gwo-Fong Lin
LCLu-Hsien Chen
Lu-Hsien Chen

1 April 2004 in Journal of Hydrology
Verified
Journal Article
Closed access
GLGwo-Fong Lin
Gwo-Fong Lin
LCLu-Hsien Chen
Lu-Hsien Chen

1 June 2017 in Engineering Geology
Verified
Journal Article
Closed access
GLGwo-Fong Lin
Gwo-Fong Lin
MCMing-Jui Chang
Ming-Jui Chang
YHYa-Chiao Huang
Ya-Chiao Huang
JHJui-Yi Ho
Jui-Yi Ho

1 June 2009 in Journal of Hydrology
Verified
Journal Article
Closed access
GLGwo-Fong Lin
Gwo-Fong Lin
GCGuo-Rong Chen
Guo-Rong Chen
PHPei-Yu Huang
Pei-Yu Huang
YCYang-Ching Chou
Yang-Ching Chou

1 March 2004 in Journal of Hydrology
Verified
Journal Article
Closed access
GLGwo-Fong Lin
Gwo-Fong Lin
LCLu-Hsien Chen
Lu-Hsien Chen

1 December 2013 in Journal of Hydrology
Verified
Journal Article
Open access
LHLing-Feng Hsiao
Ling-Feng Hsiao
MYMing-Jen Yang
Ming-Jen Yang
CLCheng-Shang Lee
Cheng-Shang Lee
HKHung-Chi Kuo
Hung-Chi Kuo
DSDong-Sin Shih
Dong-Sin Shih
GLGwo-Fong Lin
Gwo-Fong Lin
SummaryIn this study, an ensemble meteorological modeling system is one-way coupled with a hydrological model to predict typhoon rainfall and flood responses in a mountainous watershed in Taiwan. This ensemble meteorological model framework includes perturbations of the initial conditions, data analysis methods, and physical parameterizations. The predicted rainfall from the ensemble meteorological modeling system is then used to drive a physically distributed hydrological model for flood responses in the Lanyang basin during the landfall of Typhoon Nanmadol (2011). The ensemble forecast provides track forecasts that are comparable to the operational center track forecasts and provides a more accurate rainfall forecast than a single deterministic prediction. The runoff forecast, which is driven by the ensemble rainfall prediction, can provide uncertainties for the runoff forecasts during typhoon landfall. Thus, the ensemble prediction system provides useful probability information for rainfall and runoff forecasting