A spectral view on the space-time structure of climate variability
My research focus is on the characterization of the space-time structure of climate variability across a large range of scales. In particular, a spectral view is adopted such that the scaling behaviour in both space and time (i.e., in the wavenumber and frequency domain) can be investigated. This type of analysis is applied to the output of long paleo-climate model simulations, to reanalysis and to instrumental data, and it is compared to stochastic-diffusive energy balance models, for which the spectral scaling behaviour can be obtained analytically.
All in all, my aim is to achieve an as simple as possible conceptual picture of the spectral space-time structure, in order to (i) provide a systematic basis for time-scale-dependent interpretation of paleo-climate proxies, and (ii) to help distinguish between externally driven versus internal variability of the climate system, by searching for characteristic spectral space-time fingerprints of these components.
Specifically, I am currently developing spectral measures of the effective spatial degrees of freedom of large-scale climate fields, and I am also investigating the frequency-dependent spatial spectra of climate model simulations with different external forcings by decomposing fields into spherical harmonics.