气候变化领域集成服务门户(CCPortal): Computation-Efficient Parameter Estimation for a High-Resolution Global Tide and Surge Model

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DOI	10.1029/2020JC016917
	Computation-Efficient Parameter Estimation for a High-Resolution Global Tide and Surge Model
	Wang X.; Verlaan M.; Apecechea M.I.; Lin H.X.
发表日期	2021
ISSN	21699275
卷号	126 期号:3
英文摘要	In this study, a computation-efficient parameter estimation scheme for high-resolution global tide models is developed. The method is applied to Global Tide and Surge Model with an unstructured grid with a resolution of about 2.5 km in the coastal area and about 4.9 million cells. The estimation algorithm uses an iterative least squares method, known as DUD. We use time-series derived from the FES2014 tidal database in deep water as observations to estimate corrections to the bathymetry. Although the model and estimation algorithm run in parallel, directly applying of DUD would not be affordable computationally. To reduce the computational demand, a coarse-to-fine strategy is proposed by using output from a coarser model to replace the fine model. There are two approaches; One is completely replacing the fine model with a coarser model during calibration (Coarse Calibration) and the second is Coarse Incremental Calibration, that replaces the output increments between the initial model and model with modified parameters by coarser grid model simulations. To further reduce the computation time, the parameter dimension is reduced from O(106) to O(102) based on sensitivity analysis, which greatly reduces the required number of model simulations and storage. In combination, these methods form an efficient optimization strategy. Experiments show that the accuracy of the tidal representation can be improved significantly at affordable cost. Validation for other time-periods and using coastal tide-gauges shows that the accuracy is improved significantly. However, the calibration period of two weeks is short and leads to some over-fitting of the model. © 2021. The Authors.
英文关键词	bathymetry calibration and validation; coarse-to-fine strategy; computational time reduction; global parameter estimation; global tide and surge model; sensitivity analysis
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186427
作者单位	Delft Institute of Applied Mathematics, Delft University of Technology, Delft, Netherlands; Deltares, Delft, Netherlands
推荐引用方式 GB/T 7714	Wang X.,Verlaan M.,Apecechea M.I.,et al. Computation-Efficient Parameter Estimation for a High-Resolution Global Tide and Surge Model[J],2021,126(3).
APA	Wang X.,Verlaan M.,Apecechea M.I.,&Lin H.X..(2021).Computation-Efficient Parameter Estimation for a High-Resolution Global Tide and Surge Model.Journal of Geophysical Research: Oceans,126(3).
MLA	Wang X.,et al."Computation-Efficient Parameter Estimation for a High-Resolution Global Tide and Surge Model".Journal of Geophysical Research: Oceans 126.3(2021).