RESTORATION OF LONG-TERM TIME SERIES OF AIR TEMPERATURE IN EUROPEAN RUSSIA

V. A. Lobanov, E. L. Zhiltsova, N. A. Lemeshko, S. A. Gorlova, and S. A. Reneva

In the European territory of Russia, 100 stations with long-term (about 80 years on average) time series of monthly air temperature were chosen. A technique was developed for a consecutive restoration of missing data and increase of records. The technique has three main stages: restoration on the basis of individual analogs, restoration on the basis of space models, and application of a seasonal function. To estimate the efficiency of restoration both on dependent and on independent data, a complex of parameters is offered. As a result of a consecutive restoration, it was possible to increase sizes of time series up to 110130 years depending on month. More data were restored for months of the cold period of year than for the warm period. The error of restoration did not usually exceed 20% with respect to a standard deviation of long-term time series.