Vorticity and geopotential height extreme values in ERA‐Interim data during boreal winters

The properties and dependences of lower tropospheric geopotential height (GPH) and relative vorticity extreme values are investigated in high spatial resolution ERA‐Interim reanalysis data during the boreal winters from 1980–2014. A peak‐over‐threshold (POT) analysis is applied to determine the loca...

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Bibliographic Details
Published in:Quarterly Journal of the Royal Meteorological Society
Main Authors: Blender, R., Raible, C. C., Franzke, C. L. E.
Other Authors: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Deutsche Forschungsgemeinschaft, Universität Hamburg
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2016
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Online Access:http://dx.doi.org/10.1002/qj.2944
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.2944
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.2944
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Summary:The properties and dependences of lower tropospheric geopotential height (GPH) and relative vorticity extreme values are investigated in high spatial resolution ERA‐Interim reanalysis data during the boreal winters from 1980–2014. A peak‐over‐threshold (POT) analysis is applied to determine the local generalized Pareto distribution (GPD) parameters with a 90th percentile threshold. In Northern Hemispheric storm tracks, the scale parameter decreases along the storm track axis for vorticity, whereas it increases for GPH. The shape parameters are weakly negative for both fields in the northern midlatitudes and over land, suggesting upper bounds for the extremes. The blackassociation of GPD parameters blackwith the large‐scale flow is assessed using monthly mean indices for the North Atlantic Oscillation (NAO), Pacific–North American (PNA) pattern and El Niño Southern Oscillation (Nino3.4 index) as covariates. blackWhile the GPH parameters are related to the covariates in the regions associated with the covariate loadings, the vorticity parameters are weakly related to all covariates. It is noteworthy that the NAO dominates all covariates in the central tropical Pacific. The probability for concurrent extreme events of vorticity and GPH is highest in storm tracks with values of about 0.3–0.5.