Extreme value statistics for North Atlantic cyclones

Extremes of the cyclone intensity measures geopotential height (z(1000)), mean horizontal gradient (del z), cyclone depth (D), and relative vorticity (zeta(850)), are analysed in re-analysis data (ERA40) and model simulations (ECHAM5/MPI-OM) in the North Atlantic region for extended winter seasons....

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Bibliographic Details
Published in:Tellus A
Main Authors: Sienz, F., Schneidereit, A., Blender, R., Fraedrich, K., Lunkeit, F.
Format: Article in Journal/Newspaper
Language:English
Published: 2010
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Online Access:http://hdl.handle.net/11858/00-001M-0000-0018-9A2D-8
Description
Summary:Extremes of the cyclone intensity measures geopotential height (z(1000)), mean horizontal gradient (del z), cyclone depth (D), and relative vorticity (zeta(850)), are analysed in re-analysis data (ERA40) and model simulations (ECHAM5/MPI-OM) in the North Atlantic region for extended winter seasons. Generalized Pareto distributions (GPD) are estimated for model validation and climate change assessment. Covariates, linear trend and North Atlantic Oscillation (NAO) are included to analyse the dependancies of the extremes. In ERA40 no significant linear trend can be detected, while evidence for a NAO impact on z(1000), del z and zeta(850) extremes is found. Model validation yields good agreement with consistent scale and shape, but a shift to lower values is notable. Like in ERA40 no trend is found in the simulation. The evidence for an NAO impact on cyclone extremes is less corroborated in the simulation, pointing to sample size effects. In the warmer climate scenario (A1BS) extreme value statistics shows an intensification for all variables. Significant differences in GPD are obtained through testing for lower (higher) parameters. In contrast, considering all cyclones an increase is only present for z(1000), while a decrease is found for del z and zeta(850) and no change for D.