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Modern tasks in the field of agriculture require meteorological information of high spatial and temporal resolution. In this study, air temperature was compared using the CRU_TS, ERA5-Land, and GFS datasets in the study area for the period from 2007 to 2019. The information obtained showed a high level of correlation (0.9) of the considered data sets for the study period. However, a more detailed analysis revealed that there may be months when the air temperature values of different data sets can vary significantly for several consecutive years, and the magnitude of these deviations relative to the compared data sets can vary depending on the time of year. In addition, features of the underlying surface, for example, the presence of extensive mountain ranges, can affect the final data and the results of their comparisons. It is shown that modern ERA5-Land and GFS data sets are not inferior to CRU_TS data, and their advantages in the form of high spatial and temporal resolution can provide better results for solving problems.

Comparative analysis of data on air temperature based on current weather data sets for 2007-2019