使用非结构化网格的全球海洋环流-潮汐-海冰模型:开发、验证和应用

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Chunxiao Wang , Huaming Yu , Xin Qi , Yuchen Sun , Liansong Liang , Yang Ding
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引用次数: 0

摘要

计算机技术的最新进展已经将海洋模型从单一过程模拟(如环流、潮汐和海冰)转变为耦合多个动态过程的综合模型。本研究引入了一种创新的全球海洋模型,使用非结构化网格来实现跨复杂地形的精确、多尺度模拟。我们进行了为期十年的全球海洋环流,将模拟环流、潮汐和海冰特征与关键地区的观测数据进行比较,以评估模型的准确性。该模式有效地捕获了吕宋海峡的中尺度动力学,包括边界流分离、中尺度涡形成和内部潮汐,以及精确的全球水质量分布。在一个月内完成这一广泛的模拟表明,该模型具有高效、高分辨率、长期研究的能力,为未来超高分辨率大气-海洋耦合铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A global ocean circulation-tide-sea ice model using unstructured grid: Development, validation, and applications

A global ocean circulation-tide-sea ice model using unstructured grid: Development, validation, and applications
Recent advances in computing have transformed ocean modeling from single-process simulations—such as circulation, tides, and sea ice—into integrated models that couple multiple dynamic processes. This study introduces an innovative global ocean model using an unstructured mesh to enable precise, multi-scale simulations across complex terrains. We conducted a ten-year, global ocean circulation to assess the model's accuracy, comparing simulated circulation, tide, and sea ice characteristics with observational data across key regions. The model effectively captures meso-scale dynamics, including boundary current separation, meso-scale eddy formation, and internal tides in the Luzon Strait, along with accurate global water mass distributions. Completing this extensive simulation within a month demonstrates the model's capability for efficient, high-resolution, long-term studies, paving the way for future ultra-high-resolution atmosphere-ocean coupling.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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