time constant

Restoration of the impulse response of the Earth's climate system (ECS) showed that the rate of its reaction can be characterized by an equivalent time constant of 1.04±0.17 months. Sensitivity of ECS to changes in radiative forcing is equal to 0.41±0.05 K W^-1m², which gives the positive feedback factor 1.37±0.17.

 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).

The Earth’s climate system (ECS) is considered as a linear system whose input is a change in the solar constant, and the output is an anomaly of the globally averaged surface temperature. As a result of the restoration, the impulse response of the system was obtained at time intervals up to 100 months. It has been shown that the response time of ECS can be characterized by a time constant of 1.305 ± 0.026 months. The sensitivity of ECS to radiative forcing is 0.320±0.074 K W^-1m², and the positive feedback coefficient is 1.07±0.25.

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.

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.