Improvement and Evaluation of the Latest Version of WRF-Lake at a Deep Riverine Reservoir

Guo, Shibo; Zhu, Dejun; Chen, Yongcan

doi:10.1007/s00376-022-2180-5

Cited by 3 publications

(3 citation statements)

References 50 publications

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“…A typical example of two-way coupling is given by the models sensu Henderson-Sellers (1985), and other examples have been implemented in the Community Land surface Model (CLM-Lake) (Oleson et al, 2013), Common Land Model (CoLM-Lake) (Dai et al, 2018), Community Earth System Model (CESM-LISS) (Lawrence et al, 2019;Subin et al, 2012), and the Weather Research and Forecast model (WRF-Lake) (Gu et al, 2015). Two way coupling has been widely used to study lake/reservoir thermal dynamics, lake ice coverage, lake-atmosphere interactions, and climate change effects on lakes (see e.g., Guo et al, 2022Guo et al, , 2023aGu et al, 2015;F. Wang et al, 2019;Wu et al, 2020;Xiao et al, 2016).…”

Section: Coupling Of Climate and Lake Modelsmentioning

confidence: 99%

“…A typical example of two‐way coupling is given by the models sensu Henderson‐Sellers (1985), and other examples have been implemented in the Community Land surface Model (CLM‐Lake) (Oleson et al., 2013), Common Land Model (CoLM‐Lake) (Dai et al., 2018), Community Earth System Model (CESM‐LISS) (Lawrence et al., 2019; Subin et al., 2012), and the Weather Research and Forecast model (WRF‐Lake) (Gu et al., 2015). Two way coupling has been widely used to study lake/reservoir thermal dynamics, lake ice coverage, lake–atmosphere interactions, and climate change effects on lakes (see e.g., Guo et al., 2022, 2023a; Gu et al., 2015; F. Wang et al., 2019; Wu et al., 2020; X. Wang et al., 2023; Xiao et al., 2016). Another example is the FLake model, which has been coupled in one‐way with ERA40 reanalysis data (Martynov et al., 2010) and WRF (Gula & Peltier, 2012), and incorporated as a lake parameterization scheme into the Consortium for Small‐scale Modeling—COSMO model (Mironov et al., 2010) and coupled in two‐way model configurations with WRF (Mallard et al., 2014).…”

Section: Emerging Modeling Approaches and Future Directionsmentioning

confidence: 99%

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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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Section: Coupling Of Climate and Lake Modelsmentioning

confidence: 99%

Section: Emerging Modeling Approaches and Future Directionsmentioning

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

View full text Add to dashboard Cite

show abstract

“…Comparable performance was exhibited among these models, but the applicability of the models still varied among lakes due to the difference in physicochemical characteristics and the morphology of lakes [37][38][39]. Hence, it is a necessary step to validate and improve the performance of models before application [40,41]. Many similar efforts have also been undertaken in evaluating surface water hydrology and streamflow models [42].…”

Section: Introductionmentioning

confidence: 99%

Improvements and Evaluation of the FLake Model in Dagze Co, Central Tibetan Plateau

Cao,

Liu,

et al. 2023

Water

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FLake has been one of the most extensively used lake models in many studies for lake thermal structure simulations. However, due to the scarcity of lake temperature observations, its applicability and performance on lakes over the Tibetan Plateau are still poorly investigated, especially in small- to medium-sized lakes. In this study, based on water profile observations in Dagze Co, a medium-sized lake on the central Tibetan Plateau, the sensitivity of lake thermal features to three key parameters in FLake was investigated. The performance of FLake in reproducing the lake thermal features was evaluated and improved by optimizing these key parameters. The results showed that the FLake model with default parameter settings can generally reproduce the thermal features of Dagze Co, but there are still significant deviations compared to observation. The sensitive experiments demonstrated that the thermal structure of the lake obviously responds to the change in the water extinction coefficient (Kd), friction velocity (u*), and ice albedo (αice). Based on previous studies and sensitive experiments, the three key parameters were set to the optimized value, which substantially improved the performance of FLake. The values of bias and RMSE of simulated lake surface water temperature decreased from 3.08 °C and 3.62 °C to 2.0 °C and 2.48 °C after parameter optimization. The integration of a simple salinity scheme further improved the ability of FLake to reproduce the observed thermal features of Dagze Co. These results will improve our understanding of thermal processes in lakes on the Tibetan Plateau, as well as the applicability of lake models.

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Modelling and Analyzing a Unique Phenomenon of Surface Water Temperature Rise in a Tropical, Large, Riverine Reservoir

Guo

Zhu

Chen

2023

Water Resour Manage

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Improvement and Evaluation of the Latest Version of WRF-Lake at a Deep Riverine Reservoir

Cited by 3 publications

References 50 publications

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

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

Improvements and Evaluation of the FLake Model in Dagze Co, Central Tibetan Plateau

Modelling and Analyzing a Unique Phenomenon of Surface Water Temperature Rise in a Tropical, Large, Riverine Reservoir

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