The annual cycle of heavy precipitation across the United Kingdom: a model based on extreme value statistics

The annual cycle of extreme 1‐day precipitation events across the UK is investigated by developing a statistical model and fitting it to data from 689 rain gauges. A generalized extreme‐value distribution (GEV) is fit to the time series of monthly maxima, across all months of the year simultaneously, by approximating the annual cycles of the location and scale parameters by harmonic functions, while keeping the shape parameter constant throughout the year. We average the shape parameter of neighbouring rain gauges to decrease parameter uncertainties, and also interpolate values of all model parameters to give complete coverage of the UK. The model reveals distinct spatial patterns for the estimated parameters. The annual mean of the location and scale parameter is highly correlated with orography. The annual cycle of the location parameter is strong in the northwest UK (peaking in late autumn or winter) and in East Anglia (where it peaks in late summer), and low in the Midlands. The annual cycle of the scale parameter exhibits a similar pattern with strongest amplitudes in East Anglia. The spatial patterns of the annual cycle phase suggest that they are linked to the dominance of frontal precipitation for generating extreme precipitation in the west and convective precipitation in the southeast of the UK. The shape parameter shows a gradient from positive values in the east to negative values in some areas of the west. We also estimate 10‐year and 100‐year return levels at each rain gauge, and interpolated across the UK. Copyright © 2008 Royal Meteorological Society

[1]  M. Kendall Theoretical Statistics , 1956, Nature.

[2]  M. R. Leadbetter,et al.  Extremes and Related Properties of Random Sequences and Processes: Springer Series in Statistics , 1983 .

[3]  Holger Rootzén,et al.  Extremes and Related Properties of Random Sequences and Processes: Springer Series in Statistics , 1983 .

[4]  J. R. Wallis,et al.  Estimation of the generalized extreme-value distribution by the method of probability-weighted moments , 1985 .

[5]  N. Cressie,et al.  Statistics for Spatial Data. , 1992 .

[6]  Robert Haining,et al.  Statistics for spatial data: by Noel Cressie, 1991, John Wiley & Sons, New York, 900 p., ISBN 0-471-84336-9, US $89.95 , 1993 .

[7]  R. Katz,et al.  Regional Analysis of Temperature Extremes: Spatial Analog for Climate Change? , 1995 .

[8]  Jonathan A. Tawn,et al.  A Bayesian Analysis of Extreme Rainfall Data , 1996 .

[9]  Stuart G. Coles,et al.  Extreme value modelling of hurricane wind speeds , 1998 .

[10]  R. Katz Extreme value theory for precipitation: sensitivity analysis for climate change , 1999 .

[11]  P. Jones,et al.  Observed trends in the daily intensity of United Kingdom precipitation. , 2000 .

[12]  N. Reid,et al.  Likelihood , 1993 .

[13]  C. Rosenzweig,et al.  Climate Change and Extreme Weather Events; Implications for Food Production, Plant Diseases, and Pests , 2001 .

[14]  P. Jones,et al.  Assessing future changes in extreme precipitation over Britain using regional climate model integrations , 2001 .

[15]  M. Parlange,et al.  Statistics of extremes in hydrology , 2002 .

[16]  Eric P. Smith,et al.  An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.

[17]  M. Hulme,et al.  Evidence for trends in heavy rainfall events over the UK , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[18]  J. Corcoran Modelling Extremal Events for Insurance and Finance , 2002 .

[19]  Marc B. Parlange,et al.  Stochastic Modeling of the Effects of Large-Scale Circulation on Daily Weather in the Southeastern U.S. , 2003 .

[20]  H. Fowler,et al.  A regional frequency analysis of United Kingdom extreme rainfall from 1961 to 2000 , 2003 .

[21]  G. P. Können,et al.  Statistics of Extreme Synoptic-Scale Wind Speeds in Ensemble Simulations of Current and Future Climate , 2004 .

[22]  Janet E. Heffernan,et al.  A conditional approach for multivariate extreme values , 2004 .

[23]  Jonathan A. Tawn,et al.  A conditional approach for multivariate extreme values (with discussion) , 2004 .

[24]  M. Ekströma,et al.  New estimates of future changes in extreme rainfall across the UK using regional climate model integrations . 2 . Future estimates and use in impact studies , 2004 .

[25]  P. Jones,et al.  New estimates of future changes in extreme rainfall across the UK using regional climate model integrations. 1. Assessment of control climate , 2005 .

[26]  K. Oost,et al.  Modeling Response of Soil Erosion and Runoff to Changes in Precipitation and Cover , 2005 .

[27]  P. Naveau,et al.  Statistical methods for the analysis of climate extremes , 2005 .

[28]  M. A. Nearinga,et al.  Modeling response of soil erosion and runoff to changes in precipitation and cover , 2005 .

[29]  M. Perry,et al.  The development of a new set of long‐term climate averages for the UK , 2005 .

[31]  Stefano Schiavon,et al.  Climate Change 2007: The Physical Science Basis. , 2007 .

[32]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[33]  S. Vannitsem,et al.  Statistical properties of the temperature maxima in an intermediate order Quasi-Geostrophic model , 2007 .

[34]  Douglas Maraun,et al.  United Kingdom daily precipitation intensity: improved early data, error estimates and an update from 2000 to 2006 , 2008 .

[35]  W. Landman Climate change 2007: the physical science basis , 2010 .