South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models

• Published in: Annales Geophysicae
• Main Author: Dobrovolski, S. G.
• Format: Text
• Language: English
• Published: 2018
• Subjects: Antarctic; Antarc*
• Online Access: https://doi.org/10.1007/s00585-994-0903-9; https://angeo.copernicus.org/articles/12/903/1994/

Data on the South Atlantic monthly sea surface temperature anomalies (SSTA) are analysed using the maximum-entropy method. It is shown that the Markov first-order process can describe, to a first approximation, SSTA series. The region of maximum SSTA values coincides with the zone of maximum residual white noise values (sub-Antarctic hydrological front). The theory of dynamic-stochastic climate models is applied to estimate the variability of South Atlantic SSTA and air-sea interactions. The Adem model is used as a deterministic block of the dynamic-stochastic model. Experiments show satisfactorily the SSTA intensification in the sub-Antarctic front zone, with appropriate standard deviations, and demonstrate the leading role of the abnormal drift currents in these processes.