Abstract
Abstract. The Alqueva reservoir (southeast of Portugal) is the largest artificial lake in western Europe and a strategic freshwater supply in the region. The reservoir is of scientific interest in terms of monitoring and maintaining the quality and quantity of water and its impact on the regional climate. To support these tasks, we conducted numerical studies of the thermal and gas regimes in the lake over the period from May 2017 to March 2019, supplemented by the data observed at the weather stations and floating platforms during the field campaign of the ALentejo Observation and Prediction (ALOP) system project. The 1D model, LAKE 2.0, was used for the numerical studies. Since it is highly versatile and can be adjusted to the specific features of the reservoir, this model is capable of simulating its thermodynamic and biogeochemical characteristics. Profiles and time series of water temperature, sensible and latent heat fluxes, and concentrations of CO2 and O2 reproduced by the LAKE 2.0 model were validated against the observed data and were compared to the thermodynamic simulation results obtained with the freshwater lake (FLake) model. The results demonstrated that both models captured the seasonal variations in water surface temperature and the internal thermal structure of the Alqueva reservoir well. The LAKE 2.0 model showed slightly better results and satisfactorily captured the seasonal gas regime.
Highlights
Inland water bodies are active and simultaneously sensitive regulators of the weather and climate processes of the Earth, and changing the temperature, wind, precipitation in the surrounding areas; their thermal and gas regimes, in turn, can serve as a response to the ecosystem status or climate change (Bonan, 1995; Adrian et al, 2009; Samuelsson et al, 2010)
The aim of the present work is a numerical study of the seasonal variations in the thermal and gas regimes of the reservoir, which was held under the ALentejo Observation and Prediction (ALOP) system project in which an extensive field campaign and lake model simulations were combined
Water temperature is a crucial factor for numerical weather prediction (NWP) applications and as a regulator of lake ecosystem activity
Summary
Inland water bodies are active and simultaneously sensitive regulators of the weather and climate processes of the Earth, and changing the temperature, wind, precipitation in the surrounding areas; their thermal and gas regimes, in turn, can serve as a response to the ecosystem status or climate change (Bonan, 1995; Adrian et al, 2009; Samuelsson et al, 2010). The 1D lake models, e.g. the freshwater lake (FLake) model (Mironov et al, 2010), the Dynamics Reservoir Simulation Model (DYRESM; Imberger and Patterson, 1981), and the generalized linear model (GLM; Hipsey et al, 2019), play a major role in this process. Their simplicity, computational efficiency, and reliability of the simulation results allow them to be used in studies of the dynamics of single lakes and in the climate-related tasks of long-term numerical simulations, where vast territories with huge numbers of water bodies should be taken into account. Iakunin et al.: LAKE 2.0 use Heiskanen et al, 2015; Le Moigne et al, 2016; Ekhtiari et al, 2017; Su et al, 2019)
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