Other Pubs – WIP

‘Feeding Frenzy is short of juice’ in the Times Higher Education Supplement, Aug 18, 2000. A review of The Predictors by Bass, Thomas A.

‘Rough Survey of how ticks all add up’ in the Times Higher Education Supplement textbook guide, May 26, 2000. A review of Econophysics by Mantegna, R. and Stanley, H.E.

Merkwirth, C., Bröcker, J., Wichard, J. and Ogorzalek, M. (2005) Can DT-CNN Classifiers Outperform SVM’s? NOLTA 2005, Bruges, Belgium. Abstract.

Kilminster, D., Clarke, L., Bröcker, J., Roulston, M., Ziemann, C. and Smith, L.A. (2004) From MOS to eMOS: Generalising Model Output Statistics For Full Ensemble Forecasts. THORPEX Int. Sci. Symp., Montreal. Abstract.

Elliott, J., M. Glotter, N. Best, K. Boote, J. Jones, J. Hatfield, C. Rozenweig, L.A. Smith and I. Foster (2013) Predicting Agricultural Impacts of Large-scale Drought: 2012 and the Case for Better Modeling, Centre for Climate Change Economics and Policy Working Paper No. 131. Grantham Research Institute on Climate Change and the Environment Working Paper No. 111.

Smith, L.A. and K. Judd (2002) OCIAM Report for IG Index: On Identifying Skilful Clients and Vulnerable Markets.

Smith, L.A. (1997) Noise Reduction on Multi-probe Data Streams. OCIAM Tech Rep 97-137-1.

Smith, L.A. (1996) On Nonlinearity in the Dynamics of Grid Frequency and its Impacts on Plant Dynamics, OCIAM Tech Report 96-137-1. Parts I and II. (for Nuclear Electric).

Gilmour, I. and L.A. Smith (1996) A Brief Overview of the Seminar on Atmospheric Predictability. Newton Institute, Nov 1996.

‘Trading on climate surprises’ Pauline Barrieu and Leonard Smith in Trading Risk, 22, 9, April 2010.

Weather Watch in EPSRC Newsline Mathematics, July 2001.

A Very Short Introduction to Chaos (2007) Oxford University Press. A member of the OUP ‘A Very Short Introduction’ series. Translated into Arabic, German, Italian, Spanish, Turkish, Vietnamese and Persian (Chinese in preparation). 12th Printing.

Modern Analysis of Time Series with Applications to Real Data. Oxford University Press. L.A. Smith & H. Du. Expected 2018.

Attribution of Extreme Weather Events in the Context of Climate Change (2016) National Academy of Sciences, Engineering, and Medicine Report. The National Academies Press, Washington DC. DOI: https//doi.org/10.17226/21852.

The Rough Guide to Climate Change (2006) by Robert Henson. Rough Guides Ltd, London. ISBN 978-1843537113 1843537117.

Higgins, S. (2015) Limitations to seasonal weather prediction and crop forecasting due to nonlinearity and model inadequacy. PhD thesis, The London School of Economics and Political Science. Download a copyJarman, A. (2014) On the provision, reliability, and use of hurricane forecasts on various timescales. PhD thesis, The London School of Economics and Political Science. Download a copy

Machete, R. (2008) Model inadequacies in a simple physical system. PhD thesis, University of Oxford.

Clarke, L. (2004) Nonlinear time series analysis of data streams. PhD thesis, University of Oxford.

Guerrero, A. (2002) Scaling exponents of deterministic and stochastic systems. PhD thesis, University of Oxford.

Orrell, D. (2001) Modelling nonlinear dynamical systems: chaos, uncertainty, and error. PhD thesis, University of Oxford.

McSharry, P. (1999) Innovations in consistent nonlinear deterministic prediction. PhD thesis, University of Oxford

Hansen, J. (1998) Adaptive observations in spatially-extended nonlinear dynamical systems. PhD thesis, University of Oxford.

Ellepola, J. (1997) Nucleate boiling: nonlinear spatio-temporal variations in wall temperature. PhD thesis, University of Oxford.

Allen, M. (1992) Interactions between the atmosphere and oceans on time scales of weeks to years. PhD thesis, University of Oxford.

Chapman, S.C., Stainforth, D.A. and Watkins, N.W. (2013) ‘An observationally-centred method to quantify local climate change as a distribution’ presented at the Newton Institute Program, Non-equilibrium Statistical Mechanics and the Theory of Extreme Events in Earth Science, Cambridge, 29 October-1 November 2013.

Sienkiewicz, E., Smith, L.A. and Thompson, E.L. (2013) ‘How to quantify the predictability of a chaotic system‘, presented at the NCAS Climate Modelling Summer School, Oxford, 8-20 September 2013.

Jarman, A. and Smith, L.A. (2011) ‘Small-number statistics, common sense and profit: challenges and non-challenges for hurricane forecasting,’ presented at LSE, 26 May 2011.

Clarke, L. and Smith, L.A. (2007) ‘On the relevance of climate model output for decision support‘, presented at the EGU General Assembly 2007, 15-20 April 2007.

Judd, K., Smith, L.A. and Weisheimer, A. (2004) ‘How good is an ensemble at capturing truth?‘, presented at the EGU General Assembly 2004, 25-30 April 2004.