Wavelet Analysis of Average

The identification method in the CurveExpert-1.40 software environment revealed asymmetric wavelets of changes in the average monthly temperature of New Delhi from 1931 to 2021.The maximum increment for 80 years of the average monthly temperature of 5.1℃was in March 2010.An analysis of the wave patterns of the dynamics of the average monthly temperature up to 2110 was carried out.For forecasting,formulas were adopted containing four components,among which the second component is the critical heat wave of India.The first component is the Mandelbrot law(in physics).It shows the natural trend of decreasing temperature.The second component increases according to the critical law.The third component with a correlation coefficient of 0.9522 has an annual fluctuation cycle.The fourth component with a semi-annual cycle shows the influence of vegetation cover.The warming level of 2010 will repeat again in 2035-2040.From 2040 the temperature will rise steadily.June is the hottest month.At the same time,the maximum temperature of 35.1℃in 2010 in June will again reach by 2076.But according to the second component of the heat wave,the temperature will rise from 0.54℃to 16.29°C.The annual and semi-annual cycles had an insignificant effect on the June temperature dynamics.Thus,the identification method on the example of meteorological observations in New Delhi made it possible to obtain summary models containing a different number of components.The temperature at a height of 2 m is insufficient.On the surface,according to space measurements,the temperature reaches 55°C.As a result,in order to identify more accurate asymmetric wavelets for forecasting,the results of satellite measurements of the surface temperature of India at various geographical locations of meteorological stations are additionally required.

Asymmetric Mean Annual Temperature Wavelets Surface Air Layer of Berlin for 1701-2021

The regularities of the dynamics of the average annual temperature of Ber­lin from 1701 to 2021 are revealed.A total of 65 wavelets were received.The temperature has a high quantum certainty,and the change in the aver­age annual temperature of Berlin was identified by a model that contains only two components for prediction.The basis of the forecast at 320 years makes it possible to look into the future until the year 2340.The forecast confirms the conclusions made in the CMIP5 report on global warming.With an increase in the number of components in the model up to five,the forecast is possible only until 2060.Therefore,the model with only two components is workable.The trend is characterized by a modified Man­delbrot equation showing exponential growth with a high growth rate of 1.47421.The wave equation also has an amplitude in the form of the Man­delbrot law(in mathematics,the Laplace law,in biology,the Zipf-Pearl law,in econometrics,the Pareto law),when the exponential growth activity is equal to 1.For 1701,the period of oscillation was 2×60.33333≈120.7 years.By 2021,the period decreased and became equal to 87.6 years.The trend is such that by 2340 the period of oscillation will decrease to 30.2 years.Such an increase in fluctuations indicates an imbalance in climate disturbances in temperature in Berlin.For Berlin,the last three years are characterized by sharp decreases in the average annual temperature from 11.8℃ to 10.5℃,i.e.by 12.4% in 2021.Therefore,the forecast is still unstable,as a further decrease in the average annual temperature of Berlin in the near future may change the picture of the forecast.

Wave Dynamics of the Average Annual Temperature Surface Air Layer New Delhi for 1931-2021

The identification method revealed asymmetric fluctuations in the dynamics of the average annual temperature in New Delhi from 1931 to 2021,that is,for 90 years.An analysis of the wave patterns of climate until 2110 was carried out.Geotechnology of the Himalayan passage was proposed to reduce heat waves in India and China.Formulas containing four and 18 fluctuations were adopted for forecasting.Models give an increase in the heat wave from 2021,which is the fourth component.As a result,the landscape of the Himalayan mountains and the deserts of Thar and Takla Makan create a regional climate system that is original for the land of the Earth.In this system,oscillatory temperature adaptation in the future will be several times greater than the global warming rate predicted in the IPCC CMIP5 report.Between 2001 and 2019 the largest temperature increase wave maximum was observed in New Delhi at 0.65℃ in 2012-2013.In the sixth phase from 2036 to 2049,an ecological catastrophe will break out in New Delhi.According to calculations,the maximum value of the average annual temperature in New Delhi was 25.82℃ in 2017.Since then,the cooling has continued for four years,which will continue until 2028.The temperature will drop to 22.54℃ due to a change in solar activity by 3.28℃.Then by 2044,the average annual temperature in New Delhi will increase to 31.03℃,or the increment will be 31.03-22.54=8.49℃.In 2035,the climate in New Delhi will become hotter compared to 2021.The increase in the heat wave is noticeable.From 1931 to 2049 there will be six half-periods of cooling and warming:1)23;2)23;3)20;4)18;5)15;6)13 years old.The most dangerous is the sixth stage.It is proposed at the fifth stage for 15 years until 2037 in northern India to the Takla Makan desert in China to build a passage up to 350 km long,10 km-20 km wide and at least 4.5 km high.