Semi-empirical model of the spatiotemporal surface temperature distribution on the plain part of Ukraine

The spatial variation of temperature is found to depend linearly on climate continentality, morphology the relief, position site with respect seas, in addition usual elevation, latitude and longitude predictors. There are other factors that can have an additional significant influence: big bodies water, terrain attributes atmospheric (local circulation), configuration aspect coasts vegetation. Therefore, these multifactorial influences form climatic field temperature.
 In this study, regional semi—empirical model spatiotemporal distribution average annual monthly for plain part Ukraine basis methodology assessing influence height above sea level geographic coordinates proposed. Based method determining altitudinal, latitudinal, longitudinal gradients meteorological parameters, we calculated air surface periods 1961—1990 1991—2020.
 Thus, Ukraine, decreases by 0.60—0.63 °C a shift 100 m level, 0.51—0.55 one degree north, 0.067—0.071 east. Also, variations mean from year over period 1991—2020 characteristic.
 seasonal has pronounced non—monotonic character: highest values altitudinal gradientare typical July—August (from –0.63 –0.73 per m), lowest — April—May –0.45 –0.55 m); latitudinal gradient August—September –0.60 –0.70 °С 1 °N), –0.20 –0.35 1° N); positive June—August (0.074—0.128 E), negative November—March –0.228 –0.154 E).
 We most variability smallest one. Greatest variabilities February—March July—September, least April—May.
 analysis dynamics changes compared 1961—1991 showed following: gradientvalues increased 8—13 %. January March—May; ~30 % December—February decreased ~20 May—August.
 proposed contains coefficient takes into account effects associated orographic features. This study presents numerical some specific microclimate regions Ukraine.
 estimates thirty—year 1991—2020was calculated. A comparison 72 meteostations their actual statistically correlation (the reliability linear approximation 0.89—0.98). presented design semi-empirical makes it possible quite well restore territory