Parameter estimations of a storm surge model using a genetic algorithm |
| |
| Authors: | Sung Hyup You Yong Hee Lee Woo Jeong Lee |
| |
| Institution: | (1) Marine Meteorology Division, Observation Infrastructure Bureau/KMA, 61 Yeoeuidaebang-ro 16-gil, Donjak-gu, Seoul, 156-720, Korea;(2) Forecast Research Laboratory, National Institute of Meteorological Research/KMA, Seoul, Korea;(3) Global Environment System Research Laboratory, National Institute of Meteorological Research/KMA, Seoul, Korea |
| |
| Abstract: | A genetic algorithm was used to optimize the parameters of the two-dimensional Storm Surge/Tide Operational Model (STORM)
to improve sea level predictions of storm surges. The model was then tested using data from Typhoon Maemi, which landed on
the Korean Peninsula in 2003. The following model parameters were used: the coefficients for bottom drag, background horizontal
diffusivity, Smagorinsky’s horizontal viscosity, and sea level pressure scaling. The simulation results using the optimized
parameters improved sea level predictions. This study demonstrates that parameter optimizations and their adequate applications
are essential for improving model performance. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
