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Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
Reviews of Geophysics ( IF 25.2 ) Pub Date : 2024-02-11 , DOI: 10.1029/2023rg000816
S. Piccolroaz 1 , S. Zhu 2 , R. Ladwig 3 , L. Carrea 4 , S. Oliver 5 , A. P. Piotrowski 6 , M. Ptak 7 , R. Shinohara 8 , M. Sojka 9 , R. I. Woolway 10 , D. Z. Zhu 11
Affiliation  

Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process-based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process-based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.

中文翻译:

气候变化时代的湖水温度建模:数据源、模型和未来前景

湖泊热动力学受到气候变化的显着影响,对水生生态系统有潜在的不利影响。为了更好地了解未来气候变化对湖泊热动力学和相关过程的潜在影响,数学模型的使用至关重要。在这项研究中,我们对湖泊水温建模进行了全面回顾。我们首先讨论调节湖泊热动力学的物理概念,这是描述基于过程的模型的入门读本。然后,我们概述了用于湖泊水温建模领域的不同来源的观测水温数据,包括现场监测和卫星地球观测。我们对可用的各种湖泊水温模型进行分类和审查,然后讨论模型性能,包括常用的性能指标和优化方法。最后,我们分析了新兴的建模方法,包括预测、数字孪生、基于过程的建模与深度学习相结合、通过集成建模评估结构模型差异、适应性水管理以及气候与湖泊模型的耦合。本综述针对的是湖泊学和水文学领域的不同专业人士,包括来自私营和公共部门的生态学家、生物学家、物理学家、工程师和遥感研究人员,他们对了解湖泊水温模型及其潜力感兴趣应用程序。
更新日期:2024-02-13
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