Spectral analysis of proxy records with multiperiod signals

Sedimentary proxy records are vital climate archives of the past, valuable for intra- and intercontinental assessment of past global changes. A key tool in exploring the climate signal is spectral analysis, but timescale error and variable temporal resolution may bias its spectral characteristics.

The aim of the project is to stochastically model the spectral bias caused by timescale error on multiperiod simulated time series resembling the characteristics of real-life sedimentary proxy records.