| Identifying and removing structural biases in climate models with history matching D Williamson, AT Blaker, C Hampton, J Salter Climate dynamics 45 (5), 1299-1324, 2015 | 98 | 2015 |
| Uncertainty quantification for computer models with spatial output using calibration-optimal bases JM Salter, DB Williamson, J Scinocca, V Kharin Journal of the American Statistical Association 114 (528), 1800-1814, 2019 | 66* | 2019 |
| Process‐based climate model development harnessing machine learning: I. a calibration tool for parameterization improvement F Couvreux, F Hourdin, D Williamson, R Roehrig, V Volodina, ... Journal of Advances in Modeling Earth Systems 13 (3), e2020MS002217, 2021 | 60 | 2021 |
| A comparison of statistical emulation methodologies for multi‐wave calibration of environmental models JM Salter, D Williamson Environmetrics 27 (8), 507-523, 2016 | 42 | 2016 |
| Area level deprivation and monthly COVID-19 cases: The impact of government policy in England K Morrissey, F Spooner, J Salter, G Shaddick Social Science & Medicine 289, 114413, 2021 | 38 | 2021 |
| Global Air quality: an inter-disciplinary approach to exposure assessment for burden of disease analyses G Shaddick, JM Salter, VH Peuch, G Ruggeri, ML Thomas, P Mudu, ... Atmosphere 12 (1), 48, 2020 | 23 | 2020 |
| Quantifying spatio-temporal boundary condition uncertainty for the North American deglaciation JM Salter, DB Williamson, LJ Gregoire, TL Edwards SIAM/ASA Journal on Uncertainty Quantification 10 (2), 717-744, 2022 | 9 | 2022 |
| Efficient calibration for high-dimensional computer model output using basis methods JM Salter, DB Williamson International Journal for Uncertainty Quantification 12 (6), 2022 | 8 | 2022 |
| Uncertainty quantification for spatial field data using expensive computer models: refocussed Bayesian calibration with optimal projection JM Salter PQDT-UK & Ireland, 2017 | 2 | 2017 |
| Cross-Validation Based Adaptive Sampling for Multi-Level Gaussian Process Models L Kimpton, J Salter, T Dodwell, H Mohammadi, P Challenor arXiv preprint arXiv:2307.09095, 2023 | 1 | 2023 |
| A Bayesian inversion method for estimating ash emissions: accounting for meteorological uncertainty & quantifying uncertainty in the estimated emissions. H Webster, D Thomson, J Salter EGU24, 2024 | | 2024 |
| Exploring the Potential of History Matching for Land Surface Model Calibration N Raoult, S Beylat, JM Salter, F Hourdin, V Bastrikov, C Ottlé, P Peylin EGUsphere 2024, 1-33, 2024 | | 2024 |
| Exploring parameter and meteorological uncertainty via emulation in volcanic ash atmospheric dispersion modelling JM Salter, HN Webster, C Saint EGUsphere 2023, 1-34, 2023 | | 2023 |
| Challenges in calibrating a large-scale stochastic meta-population model of COVID-19 in England and Wales TJ McKinley, DB Williamson, X Xiong, L Danon, C Woods, R Challen, ... | | 2022 |
