Title: Statistical Analyses of Extremes from a Regional Climate Model
1Statistical Analyses of Extremes from a Regional
Climate Model
Chris Ferro Climate Analysis Group Department of
Meteorology University of Reading
Royal Meteorological Society, London, 21 January
2004
2Overview
- Regional climate-change experiment
- Application of extreme-value theory
- Daily maximum temperature extremes
- Seasonality
- Clustering
- Apparent temperature
- Concluding remarks
3Regional Modelling Experiment
- PRUDENCE
- 10 high-res. RCMs nested in global GCM
- 30-year control simulation, 1961-1990
- 30-year A2 scenario simulation, 2071-2100
4Extreme-value Theory
- Aim quantify extremal behaviour
- Problems limited data, extrapolation
- Solution exploit statistical regularities
- Example
5Seasonality London grid box
6Seasonality statistical model
Estimate threshold quantile regression Excess
distribution generalised Pareto Estimate
parameters maximum likelihood
Davison and Smith (1990) J. Royal Statistical
Soc. B, 52, 393442
7Seasonality London estimates
Scale (ese)
1.27 (0.1)
1.44 (0.2)
Shape (ese)
-0.11 (0.04)
-0.01 (0.07)
8Seasonality London estimates
Scale (ese)
1.27 (0.1)
1.44 (0.2)
Shape (ese)
-0.11 (0.04)
-0.01 (0.07)
9Times of annual maxima Europe
Control
Scenario Control
day of year
days
10Clustering London grid box
11Clustering London results
Mean cluster size (days) 90 confidence interval (days)
Control 3.2 (2.4, 3.9)
Scenario 4.0 (3.3, 4.7)
Ferro and Segers (2003) J. Royal Statistical Soc.
B, 65, 545556
12Mean Cluster Size Europe
Control
Scenario / Control
days
13Apparent Temperature London
14Apparent Temperature model
- Univariate distributions GEV model for tails
- Dependence structure nonparametric estimate
Steadman (1984) J. Climate Applied Met., 23,
16741687
de Haan and Sinha (1999) The Annals of
Statistics, 27, 732759
15Apparent Temperature results
16Review
- Many applications of extreme-value theory
- Individual values (e.g. seasonality)
- Clusters (e.g. warm spells)
- Combinations (e.g. temp. and humidity)
- Preliminary Tmax analysis (London)
- Shifted annual cycle
- Longer warm spells
- Greater heat stress
17Further Information
- PRUDENCE
- Climate Analysis
- Group
- E-mail address
- prudence.dmi.dk
- www.met.rdg.ac.uk/cag
- ? /extremes
- c.a.t.ferro_at_reading.ac.uk