Accessibility navigation

Earth system music: music generated from the United Kingdom Earth System Model (UKESM1)

de Mora, L., Sellar, A. A., Yool, A., Palmieri, J., Smith, R. S. ORCID:, Kuhlbrodt, T. ORCID:, Parker, R. J., Walton, J., Blackford, J. C. and Jones, C. G. (2020) Earth system music: music generated from the United Kingdom Earth System Model (UKESM1). Geoscience Communications, 3 (2). pp. 263-278. ISSN 2569-7110

Text (Open access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.5194/gc-3-263-2020


Scientific data are almost always represented graphically in figures or in videos. With the ever-growing interest from the general public in understanding climate sciences, it is becoming increasingly important that scientists present this information in ways that are both accessible and engaging to non-experts. In this pilot study, we use time series data from the first United Kingdom Earth System Model (UKESM1) to create six procedurally generated musical pieces. Each of these pieces presents a unique aspect of the ocean component of the UKESM1, either in terms of a scientific principle or a practical aspect of modelling. In addition, each piece is arranged using a different musical progression, style and tempo. These pieces were created in the Musical Instrument Digital Interface (MIDI) format and then performed by a digital piano synthesiser. An associated video showing the time development of the data in time with the music was also created. The music and video were published on the lead author's YouTube channel. A brief description of the methodology was also posted alongside the video. We also discuss the limitations of this pilot study and describe several approaches to extend and expand upon this work.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:92927


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation