The Problem of Forecasting of Vertical Temperature Distribution in Inland Hydrophysical Objects with Experimental Data
The problem of computation of vertical temperature distribution in inland water objects is raised in the research, and the modified version of the program complex LAKE is proposed for its solving. Also the results of validation of the modified version in accordance with the parameters of lake part of Gorky water reservoir are provided. The modification caused changing the procedure of input data assignment, ensured the possibility of using the results from field measurements as starting profiles, led to the greater consideration of wind influence on mixing and allowed to reproduce general forms of distribution more accurately. The data from the experimental sites of Gorky water reservoir in combination with the files of global reanalysis and the data of hydrometeorological station were used for validation. Measurements of the vertical temperature profiles were carried out with freely sinking CTD-probe, which recorded the temperature values several times per second. Time and temperature dependences in control points, comparison of the forms of the profiles and standard deviation were analyzed to assess the results of numerical modeling. Numerical simulation with the modified model gave results which were in good agreement with the real seasonal variations of thermal regime in lake part of Gorky water reservoir. The best quantitative and qualitative agreement was obtained for the thermal regimes with strong mixing: the results of the forecasting reproduced the forms of distribution and the values of temperature extremely accurately. The results for the ones with strong stratification demonstrated less accuracy in the values of temperature in control points, particularly near the surface, but all specificities of the forms of vertical temperature distribution were correctly reproduced.
KeywordsVertical temperature distribution Temperature profile Numerical modeling Inland water objects
The work was partly supported by Russian Science Foundation project 15-17-20009 (numerical modeling) and RFBR projects 17-05-41117, 15-45-02580 (carrying out field measurements).
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