О.Yu. Sukhonos, А.S. Lubkov, Е.N. Voskresenskaya
Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28
UDC 551.583; 551.521
In this paper the simulation of the observed climate changes of downwelling shortwave radiation in the Sevastopol region for the period 1983–2012 using data of 26 models of the Coupled Model Intercomparison Project 6 (CMIP6) is assessed. Models with simulation r1i1p1f1 are selected to analyze the observed climate changes. The data from the EUMETSAT Climate Monitoring Satellite Data Processing System (CM SAF) are used as an observational data source. The model data and observational data of CM SAF are interpolated to the coordinates of Sevastopol by the method of bilinear interpolation. The estimation of the simulation accuracy of the downwelling shortwave radiation is carried out using the following statistical characteristics: linear trend coefficients; Pearson’s correlation coefficient; root mean square error; standard deviation. The calculation of statistical characteristics is carried out both for the year as a whole and for months. The assessment of the significance of the linear trend coefficient and the correlation coefficient is performed using the Student’s t-test.
It is shown that the average values of the analyzed characteristics of solar resources according to the data of climatic models, in general, are higher than according to the observational data, whereas the values of the standard deviation are lower. The analysis of linear trends of downwelling shortwave radiation show that most climate models from the CMIP6 project correctly simulate the process up to the sign of the linear trend. Using a number of statistical characteristics, models have been determined that best simulate the analyzed climatic characteristic. The values of the considered characteristic in the climate models AWI-CM-1-1-MR and INM-CM4-8 are generally consistent with the observational data and have approximately the same root-mean-square error. However, the climate model AWI-CM-1-1-MR has a standard deviation closer to the observations.
Keywords: downwelling shortwave radiation, simulation, variations, models, CMIP6, the Sevastopol region.
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