Seminar by Dr. Woosok Moon from Nordic Institute for Theoretical Physics
10 July 2019
14:00 - 15:00
The Seminar is being held in Room 1010 (Jasmin) - Intergrated mechanical engineering building. Click here for the campus map.
Earth’s orbit and axial tilt imprint a strong seasonal cycle on climatological data. Climate variability is typically viewed in terms of fluctuations in the seasonal cycle induced by higher frequency processes. We can interpret this as a competition between the orbitally enforced monthly stability and the fluctuations/noise induced by weather. Here we introduce a new time-series method that determines these contributions from monthly-averaged data. We find that the spatiotemporal distribution of the monthly stability and the magnitude of the noise reveal key fingerprints of several important climate phenomena, including the evolution of the Arctic sea ice cover, the El Nino Southern Oscillation (ENSO), the Atlantic Nino and the Indian Dipole Mode. In analogy with the classical destabilizing influence of the ice-albedo feedback on summertime sea ice, we find that during some time interval of the season a destabilizing process operates in all of these climate phenomena. The interaction between the destabilization and the accumulation of noise, which we term the memory effect, underlies phase locking to the seasonal cycle and the statistical nature of seasonal predictability. Furthermore, we expand this approach to two-dimensional dynamical systems to include interactions between two subsystems of the climate. In particular, based on a two-dimensional dynamical system, we can discuss the mutual relationships between ENSO and IOD.