 |
| Titel |
South Atlantic sea surface temperature anomalies and air-sea interactions: stochastic models |
| VerfasserIn |
S. G. Dobrovolski |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
0992-7689
|
| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 12, no. 9 ; Nr. 12, no. 9, S.903-909 |
| Datensatznummer |
250011087
|
| Publikation (Nr.) |
 copernicus.org/angeo-12-903-1994.pdf |
|
|
|
|
|
| Zusammenfassung |
| 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. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|