Overview
Lecturer in Statistics
Research interests: emulating and history matching (calibrating) expensive computer models with high-dimensional input and output spaces, discrepancies between models and observations, environmental modelling, communicating uncertainty
Past:
Turing UQ, March 2019 - December 2020
Working on UQ Frontiers project with Peter Challenor, Daniel Williamson, Tim Dodwell.
CAMPUS, March - April 2019
Combining Autonomous observations and Models for Predicting and Understanding Shelf Seas, with Prof. Peter Challenor.
World Health Organization, November 2017 - February 2019
Modelling global ambient air pollution (PM2.5), and the effect this has on various causes of death, with Prof. Gavin Shaddick and others.
Innovate UK project with Applegate, January 2018 - July 2018
Machine learning-based project with a local company, developing an algorithm to automate part of their business, with Prof. Richard Everson, and Dr Fabrizio Costa.
Past Earth Network Post-doc, April 2017 - October 2017
PEN funded project, entitled "Searching for the deglaciation: spatio-temporal boundary condition uncertainty and its implications for understanding abrupt climate change", with Daniel Williamson (Exeter) and Lauren Gregoire (Leeds).
PhD, University of Exeter, September 2013 - March 2017
Title: Uncertainty quantification for spatial field data using expensive computer models: refocussed Bayesian calibration with optimal projection
Supervised by Daniel Williamson
Publications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
| 2024 | 2023 | 2021 | 2020 | 2018 |
2024
- Webster H, Thomson D, Salter J. (2024) A Bayesian inversion method for estimating ash emissions: accounting for meteorological uncertainty & quantifying uncertainty in the estimated emissions, DOI:10.5194/egusphere-egu24-9544. [PDF]
- Raoult N, Beylat S, Salter JM, Hourdin F, Bastrikov V, Ottlé C, Peylin P. (2024) Exploring the Potential of History Matching for Land Surface Model Calibration, volume 2024, pages 1-33, DOI:10.5194/egusphere-2023-2996.
2023
- Salter JM, Webster HN, Saint C. (2023) Technical note: Exploring parameter and meteorological uncertainty via emulation in volcanic ash atmospheric dispersion modelling, DOI:10.5194/egusphere-2023-2870. [PDF]
2021
- Morrissey K, Spooner F, Salter J, Shaddick G. (2021) Area level deprivation and monthly COVID-19 cases: The impact of government policy in England, Social Science & Medicine, volume 289, pages 114413-114413, article no. 114413, DOI:10.1016/j.socscimed.2021.114413. [PDF]
- Couvreux F, Hourdin F, Williamson D, Roehrig R, Volodina V, Villefranque N, Rio C, Audouin O, Salter J, Bazile E. (2021) Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement, Journal of Advances in Modeling Earth Systems, volume 13, no. 3, DOI:10.1029/2020ms002217. [PDF]
- Shaddick G, Salter JM, Peuch V-H, Ruggeri G, Thomas ML, Mudu P, Tarasova O, Baklanov A, Gumy S. (2021) Global Air Quality: An Inter-Disciplinary Approach to Exposure Assessment for Burden of Disease Analyses, ATMOSPHERE, volume 12, no. 1, article no. ARTN 48, DOI:10.3390/atmos12010048. [PDF]
2020
- Couvreux F, Hourdin F, Williamson D, Roehrig R, Volodina V, Villefranque N, Rio C, Audouin O, Salter J, bazile E. (2020) Process-based climate model development harnessing machine learning: I. a calibration tool for parameterization improvement, DOI:10.1002/essoar.10503597.1.
2018
- Salter JM, Williamson DB, Gregoire LJ, Edwards TL. (2018) Quantifying spatio-temporal boundary condition uncertainty for the North American deglaciation, DOI:10.48550/arxiv.1808.09322.
- Salter JM, Williamson D, Scinocca J, Kharin V. (2018) Uncertainty quantification for computer models with spatial output using calibration-optimal bases, Journal of the American Statistical Association, DOI:10.1080/01621459.2018.1514306.
