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The team are now working on advancing time series pattern-finding methods that can handle the diverse and complex nature of real-life medical data, including irregular sampling and missing data.

"The long time series of glaciers improves our ability to make more accurate models of future ice changes, as the models are trained on historical observations," concludes Anders Bjørk.

The research appears in the journal article, "Advances in remote sensing of emperor penguins: first multi-year time series documenting trends in the global population," published in the journal Proceedings of the Royal Society B.

A time series analysis was applied to detect lag periods, followed by a second analysis that compared climate during dormant and expansion phases.

The researchers are now planning a metagenomic study that extends the time series to cover periods of even more intense sea ice minima.