Simon J. Brown
Met Office
35 Papers
92 Citations
Simon J. Brown is an academic researcher from Met Office. The author has contributed to research in topics: Climate model & Extreme value theory. The author has an hindex of 20, co-authored 35 publications. Previous affiliations of Simon J. Brown include Hadley Centre for Climate Prediction and Research.
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Papers
Modeling the Recent Evolution of Global Drought and Projections for the Twenty-First Century with the Hadley Centre Climate Model
TL;DR: In this paper, the Hadley Centre global climate model is assessed using the Palmer Drought Severity Index (PDSI), a commonly used drought index, and the model predicts slightly less frequent but longer events than are observed.
Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate
TL;DR: In this article, the authors separated the dynamic and thermodynamic components of the mean and extreme precipitation changes projected in 6 climate model experiments and found that the dynamic change is due to the change in atmospheric motion, while the thermodynamic change was due to increased atmospheric moisture content.
653
Global temperature change and its uncertainties since 1861
Chris K. Folland,Nick Rayner,Simon J. Brown,Thomas M. Smith,Samuel S. P. Shen,D. E. Parker,Ian Macadam,Philip Jones,Roger Jones,Neville Nicholls,David M. H. Sexton +10 more
TL;DR: In this article, the authors present the first analysis of global and hemispheric surface warming trends that attempts to quantify the major sources of uncertainty, such as urbanization, changing land-based observing practices and SST bias corrections.
384
Global changes in extreme daily temperature since 1950
TL;DR: In this article, extreme value analysis of observed daily temperature anomalies from a new quasi-global data set indicates that extreme daily maximum and minimum temperatures (>98.5 or <1.5 percentile) have warmed for most regions since 1950.
Evaluating Uncertainties in the Projection of Future Drought
Eleanor J. Burke,Simon J. Brown +1 more
TL;DR: In this paper, the authors explored the uncertainty in the projection of future drought occurrence using two model ensembles: the first ensemble expresses uncertainty in parameter space of the third Hadley Centre climate model, and the second is a multimodel ensemble that additionally expresses structural uncertainty in climate modeling process.
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