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Geography and Natural Resources

2022 year, number 4

AUTOMATIC MONITORING OF AIR TEMPERATURE AND HUMIDITY IN MOUNTAIN-DEPRESSION LANDSCAPES OF CISBAIKALIA

O.V. VASILENKO1, N.N. VOROPAY1,2
1V.B. Sochava Institute of Geography, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia
2Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences, Tomsk, Russia
Keywords: thermohygrographs, data validation, microclimate, monitoring, mountain-depression landscapes

Abstract

An assessment was made of the correctness of using automatic thermographs DS1922L-F5 and thermohygrographs DS1923-F5 in monitoring air temperature and relative humidity in mountain-depression landscapes by comparing data obtained with loggers and standard psychrometric thermometers installed at the Tunka weather station (Republic of Buryatia). A comparative analysis was carried out by using standard statistical methods. It was found that the differences in the readings of the instruments do not exceed the instrumental error of temperature measurement (0.1 °C) in 75 % of cases, and the error in relative humidity measurements (5 %) in 98 % of cases. In analyzing the daily average values, these ranges increase to 80 and 100 % of cases, respectively. The correlation coefficients between data obtained by standard meteorological instruments and compact automatic loggers are higher than 95 % both for temperature and for humidity. Based on the results of the study, the conclusion was drawn regarding the correctness of the use of these instruments in microclimate monitoring. Since 2007, air temperature and humidity measurements have been made at 56 model sites, synchronously with observations at weather stations of Roshydromet. The peculiarities of the temperature regime and the regime of relative humidity of the mountain-depression landscapes of the South-Western Cisbaikalia (Tunka and Mondy depressions) were described. Statistically significant differences in air temperatures on the slopes and at the bottom of each of the depressions in individual months and over a year, and also the differences in the temperature regime between the depressions, due to the structure, area, relative height and depressions coefficient, are shown. In average annual values, the temperature difference between similar landforms in two depressions is about 2 °C. The same order of magnitude is shown by the microclimatic differences between the slopes in each of the depressions.