L. de Mora, A. Sellar, A. Yool, J. Palmiéri, Robin S. Smith, T. Kuhlbrodt, R. Parker, J. Walton, J. Blackford, Colin G. Jones
{"title":"Earth system music: music generated from the United Kingdom Earth System Model (UKESM1)","authors":"L. de Mora, A. Sellar, A. Yool, J. Palmiéri, Robin S. Smith, T. Kuhlbrodt, R. Parker, J. Walton, J. Blackford, Colin G. Jones","doi":"10.5194/gc-3-263-2020","DOIUrl":null,"url":null,"abstract":"Abstract. Scientific data are almost always represented graphically in figures or in videos.\nWith the ever-growing interest from the general public in understanding\nclimate sciences, it is becoming increasingly important that scientists present this\ninformation 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\ncreate six procedurally generated musical pieces.\nEach of these pieces presents a unique aspect of the ocean component of the UKESM1,\neither in terms of a scientific principle or a practical aspect of modelling.\nIn 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\nand then performed by a digital piano synthesiser.\nAn associated video showing the time development of the data in time with the music was also created.\nThe music and video were published on the lead author's YouTube channel.\nA brief description of the methodology was also posted alongside the video.\nWe also discuss the limitations of this pilot study and describe\nseveral approaches to extend and expand upon this work.\n","PeriodicalId":52877,"journal":{"name":"Geoscience Communication","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/gc-3-263-2020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 4
Abstract
Abstract. 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.