The concept of stochastic climate models developed by Hasselmann is generalized to include periodic feedback coefficients and random forcing with periodic variance, in order to take into account the seasonal variability of the mean atmosphere-ice-ocean interaction and of the atmospheric noise. Our results show marked departures from the original model, seen as seasonal modulations of the amplitudes of the covariances both with respect to seasonal and to lag times.
Sea surface temperature anomalies in mid-latitude north Pacific Ocean are compared with a cyclo-stationary stochastic model in which the anomalies are forced by atmospheric "weather" disturbances. The results show that the model explains the observed two-time auto-covariances of the anomalies for almost all (98%) of the studied region.
The concept of stochastic climate models developed by Hasselmann is generalized to include periodic feedback coefficients and random forcing with periodic variance, in order to take into account the seasonal variability of the mean atmosphere‐ice‐ocean interaction and of the atmospheric noise. Our results show marked departures from the original model, seen as seasonal modulations of the amplitudes of the covariances both with respect to seasonal and to lag times.
Sea surface temperature anomalies in mid-latitude north Pacific Ocean are compared with a cyclo-stationary stochastic model in which the anomalies are forced by atmospheric "weather" disturbances. The results show that the model explains the observed two-time auto-covariances of the anomalies for almost all (98%) of the studied region.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.