评估 CMIP6 模型模拟西班牙大陆海岸气象-海洋变异性的能力

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Ocean Modelling Pub Date : 2024-06-06 DOI:10.1016/j.ocemod.2024.102395
Humberto Pereira , Ana Picado , Magda C. Sousa , Ines Alvarez , João M. Dias
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引用次数: 0

摘要

海洋是地球气候的关键所在,它从大气中吸收热量和二氧化碳。海洋的温度和盐度受气候变化的影响,会对海洋生态系统产生重大影响。沿海富饶地区特别需要可靠的大气和海洋参数数据集,以充分监测其在区域和地方层面的变化。因此,必须继续监测和研究海洋,以制定有效的缓解和适应战略。在这种情况下,本研究的主要目的是从耦合模式相互比较项目 6(CMIP6)中找出最能捕捉西班牙大陆沿岸水温、盐度和风速变化的地球系统模式(ESM),并利用它们来估计这些地区未来的影响。为实现这一目标,采用了一种多方面的方法,包括历史(2000-2014 年)评估,将 ESM 输出与 Puertos del Estado (PdE) 海洋浮标的现场观测结果进行比较;在三种 IPCC 情景(SSP1-2.6、SSP2-4.5 和 SSP5-8.5)下对当前时期(2015-2022 年)进行审查;以及使用相同的排放情景对未来(2023-2100 年)趋势进行预测。结果表明,CMIP6 的 ESMs 能够再现气象-海洋属性的历史模式,使其成为气候变化研究的宝贵工具。在未来(2100 年),考虑到最悲观的情景(SSP5-8.5),水温可能会上升 2.8°C,盐度可能会下降-1.6,风速可能会下降-0.4 m-s-1。这些预计的变化会对西班牙海岸产生重大影响,危及一些海洋物种的生长、繁殖、存活、丰度和分布。
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Assessing CMIP6 models in simulating meteo-oceanographic variability on Spanish continental coasts

The ocean is a key player in the Earth's climate, absorbing heat and carbon dioxide from the atmosphere. The ocean's temperature and salinity are influenced by climate change, which can significantly impact marine ecosystems. Reliable data sets of atmospheric and oceanographic parameters are of special interest in coastal productive areas to adequately monitor their variability at regional and local levels. It is therefore essential to continue monitoring and studying the ocean to develop effective mitigation and adaptation strategies. In this context, the main aim of this study is to identify the Earth System Models (ESMs) from the Coupled Model Intercomparison Project 6 (CMIP6) that best capture the variability of water temperature, salinity, and wind speed along the continental Spanish coasts, using them to estimate future impacts in these regions. To achieve this, a multifaceted approach is used, encompassing a historical (2000−2014) assessment comparing ESM outputs to in situ observations from Puertos del Estado (PdE) oceanographic buoys, an examination of the present period (2015−2022) under three IPCC scenarios (SSP1−2.6, SSP2−4.5, and SSP5−8.5), and a projection of future (2023−2100) trends using the same emission scenarios. Results showed that the ESMs from CMIP6 can reproduce the historical patterns of meteo-oceanographic properties, rendering them valuable tools for climate change studies. In the future (2100), considering the most pessimistic scenario (SSP5−8.5), the water temperature may increase by 2.8°C, salinity may decrease by -1.6, and wind speed may decrease by -0.4 m·s−1. These projected changes can significantly impact the Spanish coasts, jeopardizing the growth, reproduction, survival, abundance, and distribution of some marine species.

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来源期刊
Ocean Modelling
Ocean Modelling 地学-海洋学
CiteScore
5.50
自引率
9.40%
发文量
86
审稿时长
19.6 weeks
期刊介绍: The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.
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