Autonomous System for Lake Ice Monitoring

Aslamov, Ilya; Kirillin, Georgiy; Макаров, М. М.; Kucher, K. M.; Gnatovsky, R.Yu.; Granin, N. G.

doi:10.3390/s21248505

Cited by 4 publications

(7 citation statements)

References 44 publications

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“…A large scatter in estimates of heat flux from water to ice has been noted in many studies [21,[23][24][25]. In particular, the values of this heat flux, obtained for Lake Baikal, vary in a wide range from 2 to 50 W/m 2 , thus constituting from 5 to 100 or more percent compared to the heat flux in the ice [22]. In general, as noted in the mentioned works, the value of q w significantly affects the dynamics of ice cover in large lakes [22] and Arctic seas [36].…”

Section: Sensormentioning

confidence: 99%

“…Due to the decrease in the amplitude of diurnal temperature fluctuations in the ice sheet with depth, as well as their phase delay, a non-monotonic vertical temperature distribution is formed in ice sheets [19,21]. Accordingly, the calculation of the temperature profile within the ice and the assessment of the temperature gradient directly at the interface of ice with water in the general case is a difficult task [22].…”

Section: Introductionmentioning

confidence: 99%

“…that are necessary for the model calculation of the seasonal ice evolution, including its thickness. The list of such measuring systems includes SIMBA (Snow and Ice Mass Balance Array) [21,[28][29][30], ASLIM (The autonomous system for lake ice monitoring) [22], and FROS (a floating remote observation system) [31]. Other variants of such systems are also known [16,25,32,33].…”

Section: Introductionmentioning

confidence: 99%

“…Other variants of such systems are also known [16,25,32,33]. In such experimental complexes, temperature measurement in the water-ice-snow-air system is carried out on the same vertical with a discreteness of the location of temperature sensors of 2-10 cm [15,21,22,30]. Such discreteness (~cm) is noticeably larger than in sounding (mm), which imposes restrictions on the applicability of the gradient method and reduces the quality of estimates of heat flux at the ice-water boundary.…”

Section: Introductionmentioning

confidence: 99%

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Calculation of Black Ice Thickness and Heat Fluxes inside the Ice and at the Water–Ice Boundary in a Boreal Lake

Bogdanov,

Palshin,

Zdorovennov

et al. 2023

Limnological Review

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This paper presents the results of the calculation of black ice thickness, as well as conductive heat fluxes inside the ice and at the water–ice boundary during the winter in the shallow boreal Lake Vendyurskoe (Russia). The calculation was carried out on the basis of experimental data obtained from a thermistor chain with nine sensors, five of which were successively frozen into the black ice during the winter of 1995–1996. Data processing was carried out by two methods, whose novelty lay in the simultaneous use of the temperature series of two sensors frozen into the ice and those that were in the water column directly under the lower ice boundary. The resulting estimates of black ice growth rates varied widely: maximum values (up to 8.5 mm/day) were observed in December during first month of ice period, with an average growth rate of 3.4 mm/day from December to the end of February. The heat flux in the black ice sheet varied significantly over synoptic time intervals; the highest values (up to 40 W/m2) were observed during the first two weeks of measurements, then a downward trend was noted, to values of ~10 W/m2. Black ice was isothermal from the end of February to the end of April due to the release of water on the ice surface after heavy snowfall. During this period the heat flux inside the black ice was zero, and there was no increase in black ice thickness. The calculation of the water–ice heat flux gives results that are very sensitive to both measurement limitations and the variability of external parameters. However, the estimates of this flux for moments in time when the sensors were frozen in the ice are values 1–2 W/m2, which are quite close to the previous estimates for Lake Vendyurskoe. The limitations of the presented method are related to the thermal inertia of black ice and make it possible to calculate of ice thickness with a time delay of several days. To quantify the effects of thermal inertia of ice, a model problem of heat propagation in the ice sheet is considered for the case of periodic temperature changes at its upper boundary. The attenuation of the amplitude and the delay of a heat wave during its propagation in the ice are estimated, and accordingly, the conditions, under which the temperature profile in the ice sheet is close to linear, are analyzed.

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Section: Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Calculation of Black Ice Thickness and Heat Fluxes inside the Ice and at the Water–Ice Boundary in a Boreal Lake

Bogdanov,

Palshin,

Zdorovennov

et al. 2023

Limnological Review

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show abstract

“…The final two papers are studies that can be applied in different kinds of lakes. Chen et al [ 13 ] evaluated the feasibility of the vicarious calibration method at the Lake Qinghai RCS, whereas Aslamov et al [ 14 ] proposed an autonomous monitoring system for the continuous in situ measuring of vertical temperature distribution in the near-ice air, ice strata, and under-ice water layer for several months with simultaneous records of solar radiation incoming at the lake surface and passing through the snow and ice covers, as well as snow and ice thicknesses.…”

mentioning

confidence: 99%