Izvestiya of Saratov University.
ISSN 1819-7663 (Print)
ISSN 2542-1921 (Online)


Earth’s climate system

An analysis of geopotential fields in the Northern and Southern hemispheres under different natural climatic conditions during January

Introduction. Atmospheric pressure is a crucial characteristic of the atmosphere. Changes in atmospheric pressure lead to changes in the entire set of weather conditions. The increase in global temperature affects all atmospheric characteristics, including atmospheric pressure. This paper examines the changes in atmospheric pressure near the Earth’s surface during the stabilization period and the second wave of global warming. Theoretical analysis.

Estimation of Frequency Response of Earth’s Climate System to External Radiative Forcing

 We consider the Earth’s climate system (ECS) as a linear system whose output is the global mean temperature anomaly DТ(t). The input the system, along with changes in the solar constant DI(t), can be affected by other factors, and at the output manifest themselves own temperature fluctuations and a random noise. The spectral analysis of the data shows the existence of statistically significant coherence between DI(t) and DТ(t).

Estimation of Impulse Response of Earth’s Climate System at Century Time Interval

The Earth’s climate system (ECS) is considered as a linear system whose input is the change in the solar constant, and whose output is the global mean near-surface temperature anomaly. As a result of the restoration of the impulse response at century time interval using reconstructed data on the solar constant and global temperature it was shown that its time constant is 32 ± 14 years. The sensitivity of the ECS to radiative forcing is 1.31 ± 0.63 K·W-1·m2, and the positive feedback coefficient is 4.4 ± 2.1.

Estimation of frequency response of the global temperature to change in radiative forcing

The Earth’s climate system (ECS) is considered as a linear system whose input is a change in the solar constant ?I( t) and the output is an anomaly of the globally averaged surface temperature ?T( t). The system input can be affected by other factors, and at the output their own temperature fluctuations and a random noise manifest themselves. All these factors are assumed to be independent of ?I( t). The spectral analysis of monthly mean values of ?I( t) and ?T( t) shows the existence of statistically significant coherence.