Quantification And Prediction Of The Influence Of Planetary Orbit On Atmospheric Water Vapor Content Based On Spectral Domain Analysis And LSTM

The change of planetary orbit has always been an important driving factor for the change of solar radiation in the history of the earth.The change of solar radiation on the Earth leads to the change of global atmospheric water vapor content by affecting water vapor evaporation and water vapor transport.The influence of planetary orbit on the Earth temperature is complicated.Due to planetary perturbations and the continuous motion of the Milky Way galaxy,the external forces acting on the Earth during its revolution can vary,ultimately affecting the Earth’s orbital geometry.Some basic parameters of the earth orbit,such as eccentricity,declination and periodic changes in distance from different celestial bodies,lead to complex interactions of multiple factors such as Earth temperature,air currents and ocean currents,change water vapor evaporation and water vapor transport and thus periodically affect the global atmospheric water vapor content.The research content mainly includes three aspects:(1)Analyze the spatial distribution difference of the water vapor in the total column of the earth under different UTC rotation periods and the spatial distribution difference of the daily mean value of the spring equinox,summer solstice,autumn equinox and winter solstice,calculate the mean value of the water vapor in the total column of the global atmosphere with a time resolution of 1hour,and analyze the temporal variation law of the water vapor in the total column of the global atmosphere under the rotation period of the earth,the lunar revolution period and the earth revolution period.The correlation between the solar declination and the distance between the sun and the earth and the water vapor in the total column was calculated,and the reasons for the variation of the water vapor in the total column in the rotation period of the earth and the revolution period of the earth were analyzed combined with the spatial distribution difference of the water vapor in the total column.A model is constructed to quantify the influence of the Earth’s rotation orbit and the Earth’s orbital rotation within a year.The specific parameters of the model are obtained by fast Fourier transform and least square method.(2)Expand the time span of atmospheric water vapor data set,use atmospheric specific humidity parameter to analyze the influence of planetary orbit on atmospheric water vapor content at large time scales,analyze the spatial distribution differences of specific humidity of spring equinox,summer solstice,autumn equinox and winter solstice to confirm the rationality of using specific humidity instead of total column water vapor.The mean value of global specific humidity from 1836 to 2015 with a time resolution of 1 day was calculated,and the change law of global annual specific humidity was analyzed.It was found that in this time range,there was an obvious cycle oscillation of specific humidity,and the growth trend of specific humidity was more obvious after 2000.Using the change rule of carbon dioxide concentration to remove the interference of human factors on atmospheric specific humidity and the constant part of specific humidity time series change,the influence sequence of planet orbit is obtained.According to the fast Fourier transform and multi-window spectral analysis method,the influence periods of different planetary orbits on atmospheric specific humidity are obtained,and the influence of planetary orbits on atmospheric specific humidity is reconstructed by using different component periodic sequences of spectral domain analysis.(3)To achieve the prediction of atmospheric specific humidity of the planet orbit in the next 25 years.The cumulative reconstruction model of component periodic series obtained by FFT and MTM spectral analysis method was used to predict,and the cyclic neural network model was constructed by LSTM element to predict the specific humidity of the atmosphere.Both the two methods can predict that the orbital factors of the planet will reduce the specific humidity of the atmosphere in the next 25 years.