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Jennifer Owen*, Tomek Trzeciak and Peter Knippertz*Contact: [email protected]; School of Earth and Environment, University of Leeds, LS2 9JT, UK
Severe European Cyclones: A Storm-Prone Situation Perspective
Introduction• Intense winter storms are the most damaging weather phenomenon to afflict
Europe. Therefore, forecasting them in weather and climate models is a priority.
• The SEAMSEW project, financed through the AXA Research fund, aims to assess uncertainties in future projections of severe storms.
• We can separate sources of uncertainty using the idea of a large-scale ‘storm-prone situation’ (SPS), and evaluating their representation in climate models.
• First, we identified 31 severe European windstorms, based on the Storm Severity Index, which calculates how unusual the wind speed is (Leckebusch et al., 2008).
Conclusions
• Selected 31 historic, severe European windstorms.
• Identified 4 jet stream types.
• Proposed new approach to storm-prone situations, using existing idea of Eady Growth Rate.
• Included effects of moisture.
• Mixed success in detecting storms.
• Success potentially related to jet stream type.
Storm-Prone Situations
Four Versions of Growth RateQG dry
•Shear•Dry stability•Coriolis parameter only•Lindzen & Farrell (1980).
QG moist•Shear•Moist stability•Coriolis parameter only•Whitaker and Davis (1994)
SG dry•Shear•Dry stability•Vorticity•Emanuel, Fantini & Thorpe (1987)
SG moist•Shear•Moist stability•Vorticity•Emanuel, Fantini & Thorpe (1987)
Emanuel, K., M. Fantini, and A. Thorpe, 1987: Baroclinic instability in an environment of small stability to slantwise moist convection. Part I: Two-dimensional models. Journal of the Atmospheric Sciences, v. 44, pp. 1559–1573.Leckebusch, G., D. Renggli, and U.Ulbrich, 2008: Development and application of an objective storm severity measure for the northeast Atlantic region. Meteorologische Zeitschrift, vol. 17 (5), pp. 575–587.Lindzen, R. and B. Farrell, 1980: A simple approximate result for the maximum growth rate of baroclinic instabilities. Journal of the Atmospheric Sciences, vol. 37, pp.1648–1654.Whitaker, J. and C. Davis, 1994: Cyclogenesis in a saturated environment. Journal of the Atmospheric Sciences, vol. 51, pp. 889–907.
MethodUse Eady Growth Rate to quantify baroclincity.
Use quasi-geostrophic (QG) and semi-geostrophic (SG) equations to describe atmosphere
Including effect of moisture means four versions identified.
Calculate the four versions everywhere
Average over the box (35-65oN, 40oE to 10oE) →
Search for high peaks, followed by sudden drops.
KlausQG dryQG moistSG drySG moist
KyrillQG dryQG moistSG drySG moist
XynthiaQG dryQG moistSG drySG moist
QG dryQG moistSG drySG moist
Emma
Figure 2: Showing 4 versions of growth rate (σ) for 1 October 2006 to 31 March 2007.
Figure 3: Showing 4 versions of growth rate (σ) for 1 October 2007 to 31 March 2008.
Figure 4: Showing 4 versions of growth rate (σ) for 1 October 2008 to 31 March 2009.
Figure 5: Showing 4 versions of growth rate (σ) for 1 October 2009 to 31 March 2010.
Indentifying Storms• Moisture accelerates growth
• SG moist is an upper limit, assuming atmosphere totally saturated everywhere in the domain
• Expect σ to peak just before the storm develops, and drop as the baroclinic energy is removed.
• Objectively identify peaks (shown as stars on plots) as exceeding 98th percentile once in 48 hour period.
• Here, one storm of each jet stream type is presented.
• e-folding times typically 0.5-1.0 days.
• Klaus: behaves as expected.
• Emma: peak apparent in some versions, not all.
• Kyrill: large peak slightly after.
• Xynthia: no peak. Very different jet stream configuration to the others.
• Overall, mixed results as to whether there is a peak before every storm.
• Might be related to jet stream type.
Storm Jet Type
Kyrill Cross early
Emma Edge
Klaus Cross late
Xynthia Split
σ
σ
σ
σ
Wind speed (m/s) at 300hPa
KlausKyrill
XynthiaEmma
Jet Stream Types• Once 31 storms selected, examined analysis
data and tracked each storm.
• Plotted jet stream in sections that move along with the track of each storm.
• Four categories emerged.
• Here, one example of each is presented