Influence of Meteorological Parameters on the Urban Heat Island in Moscow

Author:

Lokoshchenko Mikhail A.12,Alekseeva Lyubov I.1

Affiliation:

1. Department of Meteorology and Climatology, Faculty of Geography, Lomonosov Moscow State University, Lengory 1, 119991 Moscow, Russia

2. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Pyzhevskii Lane 3, 119017 Moscow, Russia

Abstract

The urban heat island (UHI) intensity in Moscow and the influence of various meteorological parameters are discussed using weather station data. The maximal and average in-space UHI intensities, i.e., a comparison of air temperature T either in the city centre or in the whole urban area together with rural zone have averaged 1.9 and 0.9 °C, respectively, in recent years. The UHI in Moscow has stabilized over the past decade and is not growing. Under conditions of a strong anticyclone, the maximal UHI intensity in space and time reaches 11–12 °C. Low cloudiness and amplitudes of diurnal air temperature, as well as surface temperature, demonstrate the closest relationship with the UHI intensity among other parameters with the correlation coefficient of up to −0.67 for low cloudiness and the maximal UHI intensity. The effect of wind speed, total cloudiness and relative humidity on the UHI is slightly weaker, but still significant. The relationships of all meteorological parameters with the maximal UHI intensity are closer than those with the average one. The multiple correlation coefficient between the maximal UHI intensity and both parameters (low cloudiness and average daily wind speed) is 0.76–0.82. The UHI intensity function of air temperature has a minimum in the range from −4 to 0 °C; its growth both at lower and higher T is due to the influence of anticyclonic weather. The UHI intensity function of wind speed decreases with wind strength. The threshold value at which this function asymptotically approaches its lower limit is 10 m/s in the 40–200 m air layer. The UHI intensity functions of both total and low cloudiness decrease with increasing cloudiness and the differences between them are significant if the cloud cover is more than 50%.

Funder

Russian Science Foundation

Russian Geographical Society

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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5. Kislov, A.V. (2017). Climate of Moscow under Global Warming, Izd. MGU. (In Russian).

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