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.
| 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2015 | 2014 | 2013 | 2012 |
2023
- Xu W, Williamson DB, Hourdin F, Roehrig R. (2023) Feature calibration for computer models. [PDF]
- Bird C, Williamson D, Leonelli S. (2023) On the meaning of uncertainty for ethical AI: philosophy and practice. [PDF]
- Gandy N, Astfalck LC, Gregoire LJ, Ivanovic RF, Patterson VL, Sherriff-Tadano S, Smith RS, Williamson D, Rigby R. (2023) De-Tuning Albedo Parameters in a Coupled Climate Ice Sheet Model to Simulate the North American Ice Sheet at the Last Glacial Maximum, Journal of Geophysical Research: Earth Surface, volume 128, no. 8, DOI:10.1029/2023JF007250.
- Hourdin F, Ferster B, Deshayes J, Mignot J, Musat I, Williamson D. (2023) Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections, Sci Adv, volume 9, no. 29, DOI:10.1126/sciadv.adf2758. [PDF]
- Lampkin SR, Barr S, Williamson DB, Dawkins LC. (2023) Engaging publics in the transition to smart mobilities, GeoJournal, volume 88, no. 5, pages 4953-4970, DOI:10.1007/s10708-023-10906-6.
- Ming D, Williamson D, Guillas S. (2023) Deep Gaussian Process Emulation using Stochastic Imputation, Technometrics, volume 65, no. 2, pages 150-161, DOI:10.1080/00401706.2022.2124311.
- Bateman IJ, Anderson K, Argles A, Belcher C, Betts RA, Binner A, Brazier RE, Cho FHT, Collins RM, Day BH. (2023) A review of planting principles to identify the right place for the right tree for ‘net zero plus’ woodlands: Applying a place-based natural capital framework for sustainable, efficient and equitable (SEE) decisions, People and Nature, volume 5, no. 2, pages 271-301, DOI:10.1002/pan3.10331.
2022
- Baker E, Harper AB, Williamson D, Challenor P. (2022) Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES, Geoscientific Model Development, volume 15, no. 5, pages 1913-1929, DOI:10.5194/gmd-15-1913-2022. [PDF]
2021
- Ming D, Williamson D, Guillas S. (2021) Deep Gaussian Process Emulation using Stochastic Imputation. [PDF]
- Astfalck L, Williamson D, Gandy N, Gregoire L, Ivanovic R. (2021) Coexchangeable process modelling for uncertainty quantification in joint climate reconstruction, DOI:10.48550/arxiv.2111.12283.
- Challen R, Dyson L, Overton CE, Guzman-Rincon LM, Hill EM, Stage HB, Brooks-Pollock E, Pellis L, Scarabel F, Pascall DJ. (2021) Early epidemiological signatures of novel SARS-CoV-2 variants: establishment of B.1.617.2 in England, DOI:10.1101/2021.06.05.21258365.
- Xu W. (2021) Generalising history matching for enhanced calibration of computer models.
- Baker E, Harper A, Williamson D, Challenor P. (2021) Supplementary material to "Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES", DOI:10.5194/gmd-2021-205-supplement. [PDF]
- Baker E, Harper A, Williamson D, Challenor P. (2021) Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES, DOI:10.5194/gmd-2021-205. [PDF]
- Audouin O, Roehrig R, Couvreux F, Williamson D. (2021) Modeling the GABLS4 Strongly‐Stable Boundary Layer With a GCM Turbulence Parameterization: Parametric Sensitivity or Intrinsic Limits?, Journal of Advances in Modeling Earth Systems, volume 13, no. 3, DOI:10.1029/2020ms002269. [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]
- Hourdin F, Williamson D, Rio C, Couvreux F, Roehrig R, Villefranque N, Musat I, Fairhead L, Diallo FB, Volodina V. (2021) Process‐Based Climate Model Development Harnessing Machine Learning: II. Model Calibration From Single Column to Global, Journal of Advances in Modeling Earth Systems, volume 13, no. 6, DOI:10.1029/2020ms002225. [PDF]
- Xu W, Williamson DB, Challenor P. (2021) LOCAL VORONOI TESSELLATIONS FOR ROBUST MULTIWAVE CALIBRATION OF COMPUTER MODELS, International Journal for Uncertainty Quantification, volume 11, no. 5, pages 1-17, DOI:10.1615/int.j.uncertaintyquantification.2021034779. [PDF]
- Kimpton L. (2021) Uncertainty Quantification for Numerical Models with Two Regions of Solution.
- Dawkins LC, Williamson DB, Mengersen KL, Morawska L, Jayaratne R, Shaddick G. (2021) Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA, Bayesian Analysis, volume 16, no. 1, DOI:10.1214/19-ba1193. [PDF]
2020
- Kimpton L, Challenor P, Williamson D. (2020) Classification of Computer Models with Labelled Outputs, DOI:10.48550/arxiv.2002.00010.
- Volodina V, Williamson D. (2020) Diagnostics-driven nonstationary emulators using kernel mixtures, SIAM-ASA Journal on Uncertainty Quantification, volume 8, no. 1, pages 1-26, DOI:10.1137/19M124438X.
- Volodina V. (2020) Uncertainty Quantification for complex computer models with nonstationary output. Bayesian optimal design for iterative refocussing.
- Kimpton L, Challenor P, Williamson D. (2020) Classification of Computer Models with Labelled Outputs. [PDF]
2019
- Salter JM, Williamson DB. (2019) Efficient calibration for high-dimensional computer model output using basis methods. [PDF]
- Williamson DB, Sansom PG. (2019) How are emergent constraints quantifying uncertainty and what do they leave behind?, DOI:10.48550/arxiv.1905.01241.
- Kimpton L, Challenor P, Williamson D. (2019) Modelling Numerical Systems with Two Distinct Labelled Output Classes, DOI:10.48550/arxiv.1901.07413.
- Sansom PG, Williamson DB, Stephenson DB. (2019) State space models for non‐stationary intermittently coupled systems: an application to the North Atlantic oscillation, Journal of the Royal Statistical Society: Series C (Applied Statistics), DOI:10.1111/rssc.12354.
- Mohammadi H, Challenor P, Goodfellow M, Williamson D. (2019) Emulating computer models with step-discontinuous outputs using Gaussian processes. [PDF]
- Kimpton L, Challenor P, Williamson D. (2019) Modelling Numerical Systems with Two Distinct Labelled Output Classes. [PDF]
2018
- Volodina V, Williamson DB. (2018) Diagnostic-Driven Nonstationary Emulators Using Kernel Mixtures. [PDF]
- 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 DB, Scinocca J, Kharin V. (2018) Uncertainty quantification for computer models with spatial output using calibration-optimal bases, DOI:10.48550/arxiv.1801.08184.
- 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.
- Sansom PG, Stephenson DB, Williamson DB. (2018) State-space modeling of intra-seasonal persistence in daily climate indices: a data-driven approach for seasonal forecasting. [PDF]
2017
- Sansom PG, Williamson DB, Stephenson DB. (2017) State space models for non-stationary intermittently coupled systems: an application to the North Atlantic Oscillation, DOI:10.48550/arxiv.1711.04135.
- Sansom PG, Williamson DB, Stephenson DB. (2017) State space models for non-stationary intermittently coupled systems: an application to the North Atlantic Oscillation. [PDF]
- Williamson DB, Blaker AT, Sinha B. (2017) Tuning without over-tuning: Parametric uncertainty quantification for the NEMO ocean model, Geoscientific Model Development, volume 10, no. 4, pages 1789-1816, DOI:10.5194/gmd-10-1789-2017.
- Screen JA, Williamson D. (2017) Ice-free Arctic at 1.5 °C?, NATURE CLIMATE CHANGE, volume 7, no. 4, pages 230-231, DOI:10.1038/nclimate3248. [PDF]
- Hourdin F, Mauritsen T, Gettelman A, Golaz J-C, Balaji V, Duan Q, Folini D, Ji D, Klocke D, Qian Y. (2017) The Art and Science of Climate Model Tuning, Bulletin of the American Meteorological Society, volume 98, no. 3, pages 589-602, DOI:10.1175/bams-d-15-00135.1. [PDF]
- Williamson D, Blaker AT, Sinha B. (2017) Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model, Geoscientific Model Development Discussions, pages 1-41, DOI:10.5194/gmd-2016-185.
2015
- Williamson D, Goldstein M. (2015) Posterior Belief Assessment: Extracting Meaningful Subjective Judgements from Bayesian Analyses with Complex Statistical Models, Bayesian Analysis, volume 10, no. 4, pages 877-908. [PDF]
- Williamson D, Goldstein M. (2015) Posterior belief assessment: Extracting meaningful subjective judgements from bayesian analyses with complex statistical models, Bayesian Analysis, volume 10, no. 4, pages 877-908, DOI:10.1214/15-BA966SI.
- Williamson D. (2015) Exploratory ensemble designs for environmental models using k-extended Latin Hypercubes, Environmetrics, volume 26, no. 4, pages 268-268, DOI:10.1002/env.2335. [PDF]
2014
- Williamson D, Blaker AT. (2014) Evolving Bayesian Emulators for Structured Chaotic Time Series, with application to large climate models, SIAM Journal on Uncertainty Quantification, volume 2, pages 1-28.
2013
- Williamson D, Vernon IR. (2013) Efficient uniform designs for multi-wave computer experiments, arXiv.
- Williamson D, Goldstein M, Allison L, Blaker A, Challenor P, Jackson L, Yamazaki K. (2013) History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble, Climate Dynamics, volume 41, no. 7-8, pages 1703-1729, DOI:10.1007/s00382-013-1896-4.
- Yamazaki K, Rowlands DJ, Aina T, Blaker AT, Bowery A, Massey N, Miller J, Rye C, Tett SFB, Williamson D. (2013) Obtaining diverse behaviors in a climate model without the use of flux adjustments, Journal of Geophysical Research Atmospheres, volume 118, no. 7, pages 2781-2793, DOI:10.1002/jgrd.50304.
2012
- Williamson D, Goldstein M. (2012) Bayesian policy support for adaptive strategies using computer models for complex physical systems, Journal of the Operational Research Society, volume 63, no. 8, pages 1021-1033, DOI:10.1057/jors.2011.110.
- Williamson D, Goldstein M, Blaker A. (2012) Fast linked analyses for scenario-based hierarchies, Journal of the Royal Statistical Society. Series C: Applied Statistics, volume 61, no. 5, pages 665-691, DOI:10.1111/j.1467-9876.2012.01042.x.