Assessment of the possibilities of the method of analogues for the current forecast of air temperature
Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 1 (2019), pp. 101-116 Cet article a éte moissonné depuis la source Math-Net.Ru

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An algorithm for forecasting non-stationary time series based on the analog method is considered. The proposed method is tested at air temperature values according to an automatic meteorological station. Six forecast models using various measures of similarity were constructed, the forecast error was determined on an independent sample. Comparison with the estimate of the inertial prediction led to the conclusion that the method of analogs gives satisfactory results of the current temperature prediction.
Keywords: analogue method, current temperature forecast, proximity measures.
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K. L. Voskanan; A. Kuznetsov; O. Serouhova; T. Simakina. Assessment of the possibilities of the method of analogues for the current forecast of air temperature. Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 1 (2019), pp. 101-116. http://geodesic.mathdoc.fr/item/VTPMK_2019_1_a7/

[1] Voskanyan K. L., Divinskij L. I., Kuznetsov A. D., Seroukhova O. S., Simakina T. E., “The use of spline extrapolation for the current prediction of surface air temperature”, Proceedings of the Mozhaisky Military Space Academy, 2015, no. 647, 88–92 (in Russian)

[2] Aldoshkina E. S., Kuznetsov A. D., Pugachev A. A., Seroukhova O. S., Simakina T. E., Chukin V. V., “Experience of using the neural network apparatus for analyzing and forecasting the air temperature time series”, Scientific notes of the Russian State Hydrometeorological University, 2009, no. 11, 91–100 (in Russian)

[3] Vasechkina E. F., Yarin V. D., “Prediction of time series by the method of analogs”, Physical Oceanography, 17:4 (2007), 242–251 | DOI

[4] Voskanyan K. L., Kuznetsov A. D., Seroukhova O. S., Simakina T. E., “Current forecasting of environmental measurements based on the search for analogues”, Abstracts of the XI Scientific and Applied International Conference “Natural and anthropogenic aerosols” (St. Petersburg, October 16-18, 2018) (in Russian)

[5] Chuchueva I., The time series forecasting model for the maximum similarity sample: an explanation and an example, Habr, (in Russian) (accessed at 12.12.2018) https://habr.com/ru/post/267035/

[6] Aldenderfer M. S., Blashfield R. K., Cluster Analysis, v. 44, Quantitative Applications in the Social Sciences, SAGE Publications, Inc, 1984, 88 pp. | MR

[7] Sokel R. R., “Cluster analysis and classification: prerequisites and main directions”, Classification and Cluster, ed. Dzh. Ven Rajzin, Mir Publ., Moscow, 1980, 7–19 (in Russian)

[8] Hamer R., Cunningham J., “Cluster analyzing profile data confounded with interrater differences: A comparison of profile association measures”, Applied Psychological Measurement, 5 (1981), 63–72 | DOI

[9] Sinelnik S. A., Kovrizhnykh O. E., Determining the measure of similarity of objects in cluster analysis, konspekt.biz, (in Russian) (accessed at 01.11.2018) http://www.konspekt.biz/ index.php?text=51064

[10] Magnus Ya. R., Katyshev P. K., Peresetskij A. A., “Least Squares Method”, Econometrics. Initial course: tutorial, Delo Publ., M., 2004, 34–37, 576 pp. (in Russian)

[11] Voskanyan K. L., Kuznetsov A. D., Seroukhova O. S., Automatic weather stations, v. 1, Performance characteristics: tutorial, RSHU, SPb., 2016, 195 pp. (in Russian)

[12] Voskanyan K. L., Kuznetsov A. D., Seroukhova O. S., Automatic weather stations. Part 2. Digital data processing of automatic meteorological stations: workshop, RSHU, SPb., 2016, 99 pp. (in Russian)