Dr Jill Johnson
School of Mathematical and Physical Sciences
Lecturer in Statistics
+44 114 222 3703
Full contact details
School of Mathematical and Physical Sciences
I11
Hicks Building
Hounsfield Road
91Ö±²¥
S3 7RH
- Profile
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Dr Johnson studied at Newcastle University, graduating in 2010 with a PhD in Statistics. Her thesis was titled ‘Modelling Dependence in Extreme Environmental Events’. Following this, she worked in the civil service as a research statistician at the government’s Food and Environment Research Agency, looking at uncertainty quantification and risk analysis for multiple applications including food safety and land use change.
In December 2012, Dr Johnson returned to academia as a research associate in the aerosol research group at the Institute for Climate and Atmospheric Science, University of Leeds, where her work focussed on the quantification and constraint of key uncertainties in complex models of the atmosphere and climate.
In August 2021 she joined the School of Mathematics and Statistics as a Lecturer in Statistics.
- Research interests
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Uncertainty quantification for computer models; Surrogate modelling (emulation); Model-observation comparison (history matching).
My research interests are in the development and practical application of statistical methods to quantify, assess and then reduce uncertainty in large-scale complex models of real-world systems. To date, I have focussed on problems in environmental science and particularly in relation to the atmosphere and climate: I have worked with a range of models on different scales including the simulation of an individual cloud, to the simulation of a cloud field, to the simulation of the global distribution of aerosols in the atmosphere. My approaches include expert elicitation to inform parameter choices, the use of surrogate statistical models (Gaussian process emulation) to enable dense sampling over a complex model’s input uncertainties, sensitivity analysis to understand the driving sources of uncertainty and ‘history matching’ to reduce uncertainty via comparison to observations.
In my research, I aim to address the statistical challenges of model-observation comparison to constrain the effects of high-dimensional model parameter uncertainty when using diverse observations that have sparse spatial and temporal coverage, and to explore model uncertainty when a model output is non-stationary.
- Publications
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Journal articles
- . Journal of Advances in Modeling Earth Systems, 16(9).
- . Atmospheric Chemistry and Physics, 23(15), 8749-8768.
- . Atmospheric Chemistry and Physics, 23(10), 5763-5782.
- . Atmosphere, 13(12).
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- . Atmospheric Chemistry and Physics, 21(23), 17315-17343.
- . Journal of Geophysical Research: Atmospheres, 126(13).
- . Climate Dynamics, 56(11-12), 3395-3436.
- . Atmospheric Chemistry and Physics, 21(4), 2693-2723.
- . Science, 371(6528), 485-489.
- . Technometrics, 63(1), 53-63.
- . Environmental Research Letters, 15(9).
- . Atmospheric Chemistry and Physics, 20(16), 10063-10072.
- . Atmospheric Chemistry and Physics, 20(15), 9491-9524.
- . Geophysical Research Letters, 47(9).
- . Journal of Geophysical Research: Atmospheres, 125(6).
- . Atmospheric Chemistry and Physics, 20(4), 2201-2219.
- . Journal of Advances in Modeling Earth Systems, 11(11), 3728-3754.
- . Bulletin of the American Meteorological Society, 100(11), 2260-2283.
- . Atmospheric Chemistry and Physics, 19(15), 10191-10203.
- . Atmospheric Chemistry and Physics, 19(13), 8591-8617.
- . Journal of Geophysical Research: Atmospheres, 124(2), 964-985.
- . Journal of Advances in Modeling Earth Systems, 10(12), 3103-3122.
- . Atmospheric Chemistry and Physics, 18(17), 13031-13053.
- . Atmospheric Chemistry and Physics, 18(13), 9975-10006.
- . Eos, 99.
- . Journal of Geophysical Research: Atmospheres, 123(1), 22-37.
- . Environmental Research Letters, 12(10).
- . Bulletin of the American Meteorological Society, 98(9), 1857-1877.
- . Current Climate Change Reports, 3(1), 1-15.
- . Proceedings of the National Academy of Sciences, 113(21), 5812-5819.
- . Journal of Advances in Modeling Earth Systems, 7(1), 162-187.
- . Journal of Statistical Planning and Inference, 141(5), 1838-1848.
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- . Frontiers in Environmental Science, 2.
Preprints
- Research group
- Teaching activities
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MAS113