Review on the Change Trend, Attribution Analysis, Retrieval, Simulation, and Prediction of Lake Surface Water Temperature

Jia, Tingfang; Yang, Kun; Peng, Zongqi; Tang, Linfeng; Duan, Haimei; Luo, Yi

doi:10.1109/jstars.2022.3188788

Cited by 12 publications

(6 citation statements)

References 305 publications

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“…However, our study reveals that human activities, such as urbanization and thermal pollution, can further exacerbate these changes. Despite the allocation of substantial resources by governments in recent years to address ecological issues in lakes, there has been limited observable progress in improving the lake environments (Jia et al 2022). In this context, our study provides valuable insights into the role of human activities, enabling governments to identify the underlying causes of environmental and ecological issues in specific lakes.…”

Section: Discussionmentioning

confidence: 99%

Long-term water temperature changes in Seneca Lake and their nexus to climate change and human activities

Lan,

Luo,

et al. 2023

Environ. Res. Commun.

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While many freshwater lakes have witnessed a rapid increase in surface water temperatures, the trends in subsurface water temperatures are not well-understood. This study explored the long-term subsurface water temperature change and its connection to climate change and human activities in Seneca Lake. Utilizing linear regression and the Theil-Sen estimator, the study identified a significant monotonic temperature trend in the subsurface water. Principal component and contribution analyses revealed that climate changes, particularly air warming, were more critical in explaining water temperature patterns, and human activities such as land cover change could exacerbate the impact of climate change. Using remotely sensed surface water temperature data, the study found a significant positive correlation between thermal pollution and water temperatures in the northern region of the lake, and after incorporating control variables, the regression analysis suggested that the adverse effects of thermal pollution are primarily confined to the area adjacent to the power plant. This research can offer fresh insights into lake ecology improvement and management strategies.

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Section: Discussionmentioning

confidence: 99%

Long-term water temperature changes in Seneca Lake and their nexus to climate change and human activities

Lan,

Luo,

et al. 2023

Environ. Res. Commun.

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“…For several decades, satellite Earth observation have provided continuous data for observing spatial and temporal variations of LSWT worldwide (see Table 1 and T. Jia et al., 2022 for a recent review). Most studies have been based on moderate spatial resolution high radiometric quality meteorological sensors, with a pixel size of approximately 1 km, including MODerate resolution Imaging Spectroradiometer (MODIS), Along Track Scanning Radiometer (ATSR), and Sea and Land Surface Temperature Radiometer (SLSTR), at up to daily time scales (Carrea, Crétaux, et al., 2023; MacCallum & Merchant, 2012; Reinart & Reinhold, 2008; Schneider et al., 2009).…”

Section: Water Temperature Monitoring Approachesmentioning

confidence: 99%

“…The available modeling studies span a wide range of applications (see e.g., T. Jia et al. (2022) for a recent review) from the hindcast of historical lake water temperature conditions (Hegerl et al., 2018; Piccolroaz et al., 2020) to the forecast of lake water temperature over seasonal (Mercado‐Bettín et al., 2021) to climatological time scales (Golub et al., 2022). Indeed, depending on the type of model, water temperature simulations can cover different extents (local vs. global lakes), refer to different temporal scales (from daily to climatological time scales) and account for various spatial dimensions (from zero‐dimensional lake surface water temperature (LSWT) models to fully three‐dimensional hydro‐thermodynamic models).…”

Section: Introductionmentioning

confidence: 99%

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

Piccolroaz,

Zhu,

Ladwig

et al. 2024

Reviews of Geophysics

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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.

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“…HE problem of modelling the lake surface water temperature based on the air temperature has been widely discussed in the literature [1]- [3]. As water temperature in lakes affects the presence of such important gases as oxygen [4], [5] and impacts on the fate of aquatic biota [6], [7], the problem of water temperature modelling is important for both biodiversity [8], [9] and lake water management [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Novel Air2water Model Variant for Lake Surface Temperature Modeling With Detailed Analysis of Calibration Methods

Piotrowski

Napiorkowski

Zhu

2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Air2water model is a simple and efficient tool for modelling surface water temperature in lakes based solely on the air temperature. In this paper we propose to modify the air2water model in such a way that different parameters would be associated with lake stratification of cold waters than with lake stratification of warm waters. The situation being a mix of both cold and warm waters is also considered. The model is tested on 22 lowland Polish lakes against two classical air2water variants. As the new air2water model variant is slightly more complicated than the basic versions, we focus on the importance of the choice of the calibration method. Each variant of the air2water model is calibrated with eight different optimization methods, which are also compared on various benchmark problems. We show that the proposed variant is superior to the classical air2water models on about 90% tested lakes, but only if the calibration approach is properly selected, which confirms the importance of the links between the model and appropriate optimization procedures. The proposed air2water variant performs well on various lowland lakes, with exception of large but shallow ones, probably due to the weak stratification of the shallow lakes.

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Review on the Change Trend, Attribution Analysis, Retrieval, Simulation, and Prediction of Lake Surface Water Temperature

Cited by 12 publications

References 305 publications

Long-term water temperature changes in Seneca Lake and their nexus to climate change and human activities

Long-term water temperature changes in Seneca Lake and their nexus to climate change and human activities

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

Novel Air2water Model Variant for Lake Surface Temperature Modeling With Detailed Analysis of Calibration Methods

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