Assessing regional and global variability from oceanographic time series
Susanna Barbosa

The modern technical capacity to acquire, storage and distribute geoscience observations, driven by low-cost open-source electronic prototyping platforms and advances in sensors technology, enables monitoring of the natural environment at an unprecedented pace, yielding copious time series of high-resolution observations of ocean and atmospheric parameters. The current flood of data and the new temporal and spatial scales covered by oceanographic time series requires advanced data analysis concepts and methods A fundamental challenge is the integration of domain knowledge and physical context in the data analysis process, which is crucial to increase physical understanding beyond non-explainable time series models or purely forecast-aimed strategies. This talk addresses the current challenges and opportunities in the analysis of oceanographic time series from both in-situ and satellite observations, focusing on multi-scale and long-term variability. The identification and quantification of long-term changes from records of climate parameters, which are typically still sparse and of modest length over the ocean, is a critical undertaking in a climate change context. Here specific illustrations of the analysis of multi-scale variability and long-term changes, at regional and global scales, will be presented for sea level, atmospheric pressure and sea surface temperature.