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An exploration of the relationship between productivity and diversity in British Grasslands

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Observational climate data for 1970-1999. Model output verified against observational sea level data. ... Christopher Ferro, Alec Stephenson, Matthew Killeya. Images ... – PowerPoint PPT presentation

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Title: An exploration of the relationship between productivity and diversity in British Grasslands


1
(No Transcript)
2
Climate change, extreme sea levels
hydrodynamical models
3
Introduction
  • Quantifying the impacts of climate change upon
    extreme sea levels.
  • Spatial variation in impacts.
  • Scientific tools -
  • Observational data,
  • Process knowledge,
  • Numerical models
  • Statistical tools
  • Extreme value theory,
  • Spatial statistics,
  • Nonparametric regression
  • Multivariate analysis

4
Hydrodynamical models
5
North Sea models
lt 35km NEAC grid lt 12km NISE grid
V V
6
Scientific problems
  • Observational climate data
  • Observational climate data for 1970-1999.
  • Model output verified against observational sea
    level data.
  • Test for evidence for temporal change in extreme
    values.
  • Numerical climate model
  • Generate 30-year long stationary sequences of sea
    level data.
  • Climate input data generated using ECHAM-4
    climate model under two scenarios current CO2,
    double current CO2.
  • Interest is in comparing extremal characteristics
    of the spatio-temporal fields generated under
    the two scenarios.

7
Previous findings
  • Surge residuals
  • Annual maxima
  • Univariate extreme value modelling for each site
  • Use the GEV (Generalized Extreme Value)
    distribution

Changes in 50 year surge residuals (in cm) as a
result of a doubling of CO2 levels
8

Statistical methods for spatial extremes

9
An example
  • Spatial variability
  • Spatial coherence
  • Residual spatial dependence

Initial location 0, Scale 1, Shape
-0.35, Dependence 0.7
Insert a map here simulated parameter surface
10
Methods

Insert a diagram here
11
Multivariate extremes
  • General theory
  • Componentwise maxima
  • Multivariate extreme value distribution
  • Modelling of marginal and dependence
    characteristics
  • Parameter linking
  • Inference
  • 2-step likelihood estimation
  • Independence working assumption
  • Sandwich variance estimator
  • Fix margins, transform and estimate ?
  • 1-step likelihood estimation.

BEVL (Bivariate Extreme Value
Logistic) distribution
12
A local grid-based method

Grid Evaluation points
Kernels
13
Acknowledgements
  • Supervisors
  • Janet Heffernan
  • Jonathan Tawn
  • Assistance and advice
  • Johan Segers, Vadim Kuzmin, Alexandra Ramos,
  • Christopher Ferro, Alec Stephenson, Matthew
    Killeya
  • Images
  • Web sources (list available on request)
  • Lamb, H. (1991) Historic storms of the North Sea,
    British Isles and Northwest Europe, CUP,
    Cambridge.

14
Apparent independence
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