Mathematical Models and Algorithms for Analyzing Data on Carbon Dioxide Emission into the Earth's Atmosphere

The results of the analysis of hidden cyclic regularities in the dynamics of platinum prices using the method of anamorphosis for Gompertz models are presented. The boundaries of the ranges of automodel growth are closely related to the local minima of functions and, together with them, form the spectral composition of the time series of world platinum prices. It is emphasized that the price is currently in the so-called “sidewall”. It is assumed that the platinum price will be able to reach a local maximum in the period from 2026 to 2028, after which it will fix on it with a high probability of a small correction. The next local highs can be expected, presumably, within 5–7 years. A scientifically based long-term analysis of carbon dioxide emission data is proposed in this paper. The information is correlated with historical events, compared with various sources and then critically analyzed. A model and prognostic forecast based on the apparatus of almost periodic functionals is presented. Critical points in the development of the climate system are found, and the factors of prevailing influence are outlined. Data since 1750 on greenhouse gas emissions are given. Refined models describing the studied data are proposed.