Regionalized ensemble estimation of wave periods for assessing wave energy resources across Canada. Part I: Improved wave-period modelling methodology

IF 4.8 2区 环境科学与生态学 Q1 OCEANOGRAPHY
Cong Dong , Gordon Huang , Guanhui Cheng , Yanpeng Cai , Jinxin Zhu , Shan Zhao
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引用次数: 0

Abstract

Large-scale estimations of wave periods are desired for wave energy assessment, ocean engineering, and wave climate research. Long-term global wave data from satellite altimeters are routinely applied to the estimations. However, this is challenged by uncertainties in wave-period models (WPMs), inaccuracies in data, and simplifications in modeling. Additionally, there exists a gap in the comprehensive examination of the variational mechanisms governing wave periods or model performances. As an effort to address them, we innovate a macroscale regionalized ensemble wave-period modeling (MREWPM) method by optimizing four wave-period models, driven by enhanced altimeter-based REWS (regionalized ensemble wave simulation) estimates of wave heights and wind speeds, within a regionalization framework in macroscale water environments. Results show that MREWPM driven by REWS dataset outperforms existing methods and performs better at larger scales (e.g., in eliminating local-scale overestimation). WPMs are more accurate over remote, deep, and windy regions in cool seasons under metrics-, scale- and data-dependent variations of performances with driving factors (mainly geographical features). This study serves as a foundational contribution towards the enhancement of wave-period simulations, the advancement of understanding wave-period dynamics, and the scientific evaluation of wave energy at macroscales.
用于评估加拿大各地波浪能资源的区域化波浪周期集合估算。第一部分:改进的波浪周期建模方法
波浪能评估、海洋工程和波浪气候研究需要大规模的波浪周期估算。卫星测高仪提供的长期全球波浪数据通常用于估算。然而,波浪周期模型(WPMs)的不确定性、数据的不准确性以及建模的简化都对这一工作提出了挑战。此外,对波浪周期或模型性能的变异机制的全面研究也存在空白。为了解决这些问题,我们创新了一种宏观区域化集合波浪周期建模(MREWPM)方法,在宏观水域环境的区域化框架内,以基于高度计的增强型 REWS(区域化集合波浪模拟)波高和风速估算为驱动,优化了四个波浪周期模型。结果表明,由 REWS 数据集驱动的 MREWPM 优于现有方法,在更大尺度上表现更好(例如,在消除局部尺度高估方面)。在度量、尺度和数据随驱动因素(主要是地理特征)而变化的情况下,WPM 在冷季的偏远、纵深和多风地区更为准确。这项研究为加强波浪周期模拟、促进对波浪周期动力学的理解以及在宏观尺度上对波浪能进行科学评估做出了基础性贡献。
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来源期刊
Ocean & Coastal Management
Ocean & Coastal Management 环境科学-海洋学
CiteScore
8.50
自引率
15.20%
发文量
321
审稿时长
60 days
期刊介绍: Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels. We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts. Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.
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