Der Einfluss globaler Klimaaenderungen auf die Variabilitaet regionaler meteorologischer Phaenomene, Variabilitaet des Nordatlantischen Storm Track

Description: Das Ziel des Projekts ist, die Ursachen zu untersuchen, die die Laenge und die Intensitaet von Storm Tracks (Gebiete von erhoehtem Zyklonenaufkommen) im allgemeinen und speziell ueber dem Nordatlantik bestimmen. Der Einfluss erhoehter Treibhausgaskonzentration auf die Dynamik dieses Storm Track soll bestimmt werden. Zwischenergebnisse zeigen: 1) Zusammenhaenge zwischen Zyklonenzugbahnen und Wetterlagen, 2) Intensivierung und Ausdehnung des nordatlantischen Storm Track bei erhoehtem CO2, 3) Abhaengigkeit des Storm Track vom gemittelten Temperaturfeld.

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Origins: /Bund/UBA/UFORDAT

Tags: Zyklon ? Klimatologie ? Meteorologie ? Temperaturverteilung ? Wind ? Wirbelsturm ? Kohlendioxid ? Luftbewegung ? Mitteleuropa ? Klimamodell ? Simulation ? Simulationsmodell ? Wirkungsanalyse ? Meeresgewässer ? Europa ? Nordatlantik ? Klimawandel ? Treibhauseffekt ? Wetter ? Treibhausgas ? Atlantischer Ozean ? Storm-Track ? Tiefdruckgebiet ? Zyklonenzugbahnen ?

Region: Hamburg

Bounding boxes: 9.99302° .. 9.99302° x 53.55073° .. 53.55073°

License: cc-by-nc-nd/4.0

Language: Deutsch

Organisations

• Kommission der Europäischen Gemeinschaften Brüssel (Geldgeber*in)
• Kommission der Europäischen Gemeinschaften, Generaldirektion XII Wissenschaft, Forschung und Entwicklung (Mitwirkende)
• Umweltbundesamt (Bereitsteller*in)
• University Reading (Mitwirkende)
• Universität Hamburg, Zentrum für Meeres- und Klimaforschung, Meteorologisches Institut (Betreiber*in)

Time ranges: 1995-01-01 - 1997-12-31

Alternatives

• Language: Englisch/English
  Title: Variability of the North Atlantic Storm Track
  Description: A method for objective identification of cyclones will be developed to yield information about the location, the life time, and the intensity of the individual cyclones from atmospheric circulation data. This information leads to the distribution of cyclone activity, period lengths, recurrence times, and intensity. The cyclone trajectories, positions and intensity, will be subjected to further analysis based on nonlinear techniques and Lagrangian. Eddy-mean flow diagnostic tools are applied to the comprehensive and the idealized data sets to interpret the underlying physical mechanisms, their differences and to distinguish the anthropogenic and natural forcing on storm track variability. The physical interpretaion may necessitate further experiments to isolate mechanisms that transport climate signals over large distances, such as from the Tropical Pacific to the Northeast Atlantic/European sector. A reduced GCM (SGCM) of the general circulation model ECHAM will be used for idealized experiments. The SGCM.-experiments are carried out on an aqua-planet; greenhouse gas forcing is modified during these runs (1 x CO2, 2 x CO2). These experiments will be completed by simulations of point vortex models on periodic domain and on the sphere. The nonlinear dynamics of storm-track variability will be studied as well by simplified nonlinear modelling based on point-vortex systems and turbulence simulations. Using the outputs of the above models and real atmospheric data, information is derived of the large scale dynamics based on probability measures in state-space applying a) phase-space reconstructions based on new techniques aimed at reducing noise level and making optimal use of information. Subsequently, b) dimension and entropy estimates of time series and Lagrangian cycline trajectories can be deduced to obtain c) some nonlinear systems analysis diagnostics including tests to destinguish random from deterministic signals. https://ufordat.uba.de/UFORDAT/pages/PublicRedirect.aspx?TYP=PR&DSNR=47684

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