Annotation

Purpose: to carry out a comparative analysis of meteorological characteristics (average monthly precipitation and average monthly air temperature) on Moscow region territory based on the ERA5-Land Copernicus (C3S) reanalysis data and stationary weather stations. 

Materials and methods. Data obtained from 11 weather stations located in different districts of Moscow region from April to September 2000–2020, as well as data from climate archives based on regular meteorological observations, aerologic and satellite information was used. A comparison of the average monthly air temperature and precipitation for the growing season of main agricultural crops was carried out, the data deviation based on the reanalysis results from the actual data was presented, the correlation coefficients were calculated, the result of calculating the Pearson correlation coefficient was presented, and the advantage of the reanalysis data was shown. 

Results: the calculations obtained showed that the distribution of average monthly temperature and precipitation differs slightly from the observation data, which can be explained by the peculiarities of determining the coordinates of the weather station relative to the reanalysis grid nodes. 

Conclusions. ERA5-Land reanalysis data are suitable for determining the main meteorological characteristics in those areas where there are no stationary weather stations or access to their data is difficult. The reanalysis values as a whole reflect the variability of air temperature and precipitation in the study area of Moscow region quite well relative to the indicators obtained by ground-based observations. ERA5-Land data can be supplemented and applied in various fields of research, such as climate forecasting, yield forecasting using agro-climatic indicators, irrigation or drainage planning, etc.

doi: 10.31774/2712-9357-2022-12-3-92-105

For quoting

Golovinov E. E., Vasileva N. A. Comparison of long-term meteorological characteristics based on reanalysis and ground observations data in Moscow region. Land Reclamation and Hydraulic Engineering. 2022;12(3):92–105. (In Russ.). https://doi.org/10.31774/2712-9357-2022-12-3-92-105.

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