A team of researchers, led by PML Marine Ecosystem Modeller Dr Lee de Mora, used data from the first United Kingdom Earth System Model (UKESM1), a simulation of the Earth’s climate that offers insights from the past and predictions for the future.
These time series data sets were converted into pieces of music, by creating Musical Instrument Digital Interface (MIDI) notes, each with a set of musical qualities, including the pitch, timing, duration and volume of the note.
Each data point could then be assigned to a note, with the lowest data set value at the lowest pitch, rising to the highest pitch for the highest value.
Six pieces were described in the recently published Geoscience Communication article, each highlighting a particular aspect of the data, such as ocean acidification, rising temperature, andchanges in the Arctic system.
In addition, each piece shows unique aspects of how the UKESM model was developed and deployed for studying the Earth’s climate.
By using the simulated data from the model, rather than just observational data, the pieces can reflect the climate from before te industrialisation as well as a range of future scenarios.
Dr de Mora said: “This pilot study shows how much potential there is for us to present scientific work in new and exciting ways, help people outside of the field to understand what our research is, and engage with climate science from a new direction.
From here, there are so many possibilities for building on this work, from collaborating with musicians and producing live performances, to creating new music with other models and datasets.
Finally, we hope that this manuscript encourages other researchers to think about how they could communicate their work beyond traditional methods.”
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