 Ozone's impact is all about location. High in the stratosphere, Ozone shields us from the sun's harmful ultraviolet rays. Beneath that, at the top of the troposphere, it acts as a greenhouse gas and contributes to global warming. In the middle of the troposphere, it plays a key role in a chemical process that cleans the air soon. In this project, RP worked in collaboration with SCI and NASA's Goddard Institute for Space Studies. The project was about communicating science through art. And to do that, we used the certification of data in order to raise awareness of the scientific issue. The issue in this case was Ozone being harmful for human health. Music was the medium of communication and the certification was the method. I've been involved in the scientific underpinning of the Ozone data sonification project. And there's been a lot of interest in the trophothoracic ozone in the last few years because it has climate effects, it has effects on human health and it also affects crop yields. The data we're using in this project is courtesy of the NASA test infrared spectrometer, which is flying aboard the Aura satellite orbiting the Earth. So it can measure the ozone concentration right down through the profile of the atmosphere and from that data we can extract the portion that is at ground level. We took the data, we scaled it and it was sent to the drum machine via MIDI to change the parameters dynamically. And also the drum machine was driving the clock, so we were going from month to month and playing each data during that period of time. For the sonification study we're focusing on trophothoracic ozone at ground level. So this is ozone that can be breathed in by the population and cause premature mortality and other health effects. We're using data from six locations around the globe and they've been chosen to show how trophothoracic ozone concentrations vary from place to place depending on where you are. The six sites we're using in this study are three mega cities, so three large cities, London, New York and Beijing. And there's some contrast you can see between those and the levels of pollution there. And then we have the Sahara where there's high levels of sunlight, so making trophothoracic ozone. And then the Amazon where you have a lot of natural precursors from the background vegetation, volatile organic compounds. And then a background site which is New Zealand where we expect low levels of ozone. So we have contrast those six sites. The piece was divided by these locations, so we're going from one to another. So I was more active, was playing more rhythmic material while the concentration of ozone was higher, for example in Beijing or New York, while the pieces for New Zealand and Amazon were more atmospheric because the concentration was lower. New Zealand, typical of background levels found in southern hemisphere where precursor emissions are relatively low. Low impacts on human health and premature mortality. In New York I was using different mutes to explore the different locations of the sonified data, but I felt that doing that was actually treating the data unfairly and us looking to be more consistent across. So if I play whatever pitch for Beijing A4, it needs to be the same sound for New York A4 or Amazon. I think the consistency is very important in this piece. And I chose to remove mutes from the... If we have A4 in one piece, why do I treat that differently with a mute or different gestural qualities if we're trying to be exact with the data? You can't change the tomber because the data still is the same and I'm affecting the data by changing the tomber or quality of the instrument. The reason why I got interested in the project on the sonification project was to increase awareness of the issue. So I'm quite excited about how it's come out because I think it operates on three levels. So first of all, it's a piece of music in its own rights. The second point is it creates awareness, which is one aspect we're very interested in at SCI. And then the third aspect can also be used as a data analysis tool. So using music, you might be able to see the differences in the data that might not be so obvious to the human eye.