Properties of the Frequency Spectra of the Sea Surface and Land Surface Air Temperature Anomalies in a Simple Stochastic Climate Model with Fluctuating Parameters
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The frequency properties of the spectra of sea surface temperature (SST) and land surface air temperature (SAT) anomalies are analyzed based on a simple energy-balance climate model taking into account the fluctuations of the radiation balance, the latent and sensible heat flux, and the near-surface wind velocity in two particular cases: when the statistical properties of the model parameters correspond to white noise (small-scale and mesoscale subintervals) and the combined case when the properties of the synoptic subinterval of these parameters are taken into account in the SAT block. It is found that, in the first case, the spectra have no features, while, in the second case, the spectra contain selected frequencies in the synoptic and low-frequency intervals. The dependence of their frequencies on the model parameters is analyzed. The properties of the standard deviations of SST and SAT anomalies are investigated.
Keywords:climate oscillations stochastic climate models multiplicative noise sea-surface and land-surface air-temperature anomalies
In conclusion, I would like to thank E.A. Mareev for his attention to this study.
This study was carried out as part of the Program of the Presidium of the Russian Academy of Sciences “Climate Changes: Causes, Risks, Consequences, Problems of Adaptation and Regulation” (project no. 0035-2018-0024).
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