气候变化领域集成服务门户(CCPortal): Statistical forecast of the marine surge

CCPortal

DOI	10.1007/s11069-021-04806-6
	Statistical forecast of the marine surge
	Quintana G.I.; Tandeo P.; Drumetz L.; Leballeur L.; Pavec M.
发表日期	2021
ISSN	0921030X
起始页码	2905
结束页码	2917
卷号	108 期号:3
英文摘要	This paper studies different machine learning methods for solving the regression problem of estimating the marine surge value given meteorological data. The marine surge is defined as the difference between the sea level predicted with the tides equations, and the real measured sea level. Different approaches are explored, from linear regression to multilayer perceptrons and recurrent neural networks. Stochastic networks are also considered, as they enable us to calculate a prediction error. These models are compared with a baseline method, which uses physical equations to calculate the surge. We show that all the statistical models outperform the baseline, being the multilayer perceptron the one that performs the best. (It reaches an R2 score of 0.68 and an RMSE of 7.3 cm.) © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Data science Machine learning Marine surge Neural networks Regression Sea level Time-series analysis
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206513
作者单位	IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, F-29238, France; Actimar S.A.S., 36 quai de la douane, Brest, 29200, France
推荐引用方式 GB/T 7714	Quintana G.I.,Tandeo P.,Drumetz L.,et al. Statistical forecast of the marine surge[J],2021,108(3).
APA	Quintana G.I.,Tandeo P.,Drumetz L.,Leballeur L.,&Pavec M..(2021).Statistical forecast of the marine surge.Natural Hazards,108(3).
MLA	Quintana G.I.,et al."Statistical forecast of the marine surge".Natural Hazards 108.3(2021).