T
Tim Chatterton
Researcher at University of the West of England
Publications - 95
Citations - 1945
Tim Chatterton is an academic researcher from University of the West of England. The author has contributed to research in topics: Air quality index & Action plan. The author has an hindex of 19, co-authored 95 publications receiving 1697 citations. Previous affiliations of Tim Chatterton include University of East Anglia.
Papers
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Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki
Jaakko Kukkonen,Leena Partanen,Ari Karppinen,Juhani Ruuskanen,Heikki Junninen,Mikko Kolehmainen,Harri Niska,Stephen Dorling,Tim Chatterton,Rob Foxall,Gavin C. Cawley +10 more
TL;DR: In this article, five neural network (NN) models, a linear statistical model and a deterministic modelling system (DET) were evaluated for the prediction of urban NO2 and PM10 concentrations.
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Analysing cycling as a social practice: An empirical grounding for behaviour change
TL;DR: In this paper, the authors argue that social practice theory may be a valuable addition to practitioner's toolboxes by providing an alternative means of understanding the complex dynamics between the elements that constitute the practice of utility cycling.
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A rigorous inter-comparison of ground-level ozone predictions
Uwe Schlink,Stephen Dorling,Emil Pelikán,Giuseppe Nunnari,Gavin C. Cawley,Heikki Junninen,Alison J. Greig,Rob Foxall,Kryštof Eben,Tim Chatterton,Jiri Vondracek,Matthias Richter,Michal Dostál,L. Bertucco,Mikko Kolehmainen,Martin Doyle +15 more
TL;DR: In this article, 15 different statistical techniques for ozone forecasting were applied to ten data sets representing different meteorological and emission conditions throughout Europe and compared with a deterministic chemical trajectory model.
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Modelling SO2 concentration at a point with statistical approaches
Giuseppe Nunnari,Stephen Dorling,Uwe Schlink,Gavin C. Cawley,Robert J. Foxall,Tim Chatterton +5 more
TL;DR: The results show that there is no single modelling approach, which generates optimum results in terms of the full range of performance indices considered, and approaches that are able to work better in the prediction of critical episodes must be preferred.
An introduction to thinking about 'energy behaviour': A multi-model approach
TL;DR: In this paper, a number of different perspectives that can be used to understand and interpret behaviour are set out within a framework that demonstrates how each approach can contribute something valuable towards developing a broad view of behaviour.