Analysis and comparison of coupled and uncoupled simulations with the COAWST model during the Gloria Storm (January 2020) in the northwestern Mediterranean Sea

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2023-11-01 DOI:10.1016/j.envsoft.2023.105830
Jordi Iglesias , Ildefonso Cuesta , Clara Salueña , Jordi Moré , Jordi Solé
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Abstract

Numerical simulations of the ocean and atmosphere provide crucial information for climate policies and socio-economic decisions. A coupled atmosphere–ocean model can potentially improve the representation of processes and forecast fields compared to an uncoupled one. This work aims to assess under which conditions the coupled model performs better than the uncoupled one and evaluate those differences in a high-energy storm in the northwestern Mediterranean area, which was modeled to compare coupled and uncoupled simulations of storm Gloria (January 2020). The model was validated and verified with observations from weather stations, atmospheric soundings, buoys, and the operational models of METEOCAT. Although the coupling of the models does not substantially affect the atmospheric large-scale flows, a significant impact has been found for the small and mesoscale structures. On the ocean, differences between the coupled and uncoupled models arise over the entire spatial and temporal scales, which the coupling exhibits better performance.

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地中海西北部格洛里亚风暴(2020年1月)期间耦合和非耦合模拟与COAWST模型的分析和比较
海洋和大气的数值模拟为气候政策和社会经济决策提供了重要信息。与非耦合模型相比,大气-海洋耦合模型可以潜在地改善过程和预测场的表示。这项工作旨在评估耦合模型在哪些条件下比非耦合模型表现更好,并评估地中海西北部地区高能风暴的这些差异,该模型旨在比较格洛里亚风暴(2020年1月)的耦合和非耦合模拟。该模型通过气象站、大气探测、浮标和METEOCAT的运行模型的观测进行了验证。虽然模型的耦合对大气大尺度流动没有实质性影响,但已经发现对小尺度和中尺度结构有显著影响。在海洋上,耦合和非耦合模型之间的差异出现在整个空间和时间尺度上,耦合表现出更好的性能。
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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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