Statisztikus Fizikai Szemináriumok
Seminars in Statistical Physics

A szemináriumokat az Elméleti Fizikai Tanszék (1117 Budapest, Pázmány Péter sétány 1/A, azaz Északi tömb) keretében szervezzük. Az előadások ebben a félévben az É 2.54-es teremben (Novobátzky Károly terem) kerülnek megrendezésre. Szokásosan szerdán de. 11-kor kezdünk. Ha ettől eltérő időben vagy más teremben tartjuk az előadást, azt külön jelezzük. Az előadás címét általában annak nyelvén hirdetjük meg.


The seminars are held at the Institute for Theoretical Physics, Eötvös University (1117 Budapest, Pázmány Péter sétány 1/A, i.e. Northern Block near Petőfi bridge, western bridgehead). This semester the seminars are held in room É 2.54 (Novobátzky Károly Hall). Usually the seminar is on Wednesday 11 am. If we deviate from the standard times or location, there will be an extra warning. We announce generally the title of the lecture in the language the speaker will use.

ELTE TTK Északi Tömb 2.54

2019. oktober 16, szerda, 11:00

Ksenia Guseva

Carl von Ossietzky University

The effect of intermittent upwelling events on plankton blooms

The larger scale the ocean's hydrodynamic flow is characterized by the presence of large eddies (vortices), which play a very important role in phytoplankton ecosystems. Another important large scale phenomenon is upwelling, which brings a load of nutrients to the surface, sometimes triggering algal blooms. We investigate the effect of intermittent upwelling on the biological community in the presence of large eddies formed in the wake of an island. We use a theoretical model of this system by coupling a kinematic flow field to a population dynamical model for plankton growth. We observe plankton blooms when nutrients are trapped by vortices, and analyse how this dynamics depends on the timing and intensity of upwelling events.

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ELTE TTK Északi Tömb 2.54

2019. oktober 16, szerda, 11:45

Gábor Drótos

University of the Balearic Islands and CSIC

What the snapshot/pullback attractor of an Earth system model can tell about climate change: a case study about the ENSO--Indian monsoon teleconnection

The climate of a time instant under explicitly time-dependent forcing seems to be most plausibly defined by the natural probability measure of the corresponding snapshot attractor, and climate change is described by the time evolution of this probability measure. This probability measure is numerically represented by an ensemble of trajectories (realizations) emanating from different initial conditions, but only after memory loss takes place. Recently, communities in Earth system modeling have started to develop `initial-condition large ensembles' in state-of-the-art models. I will present a statistical analysis about the change of a correlation coefficient relating the El Niño--Southern Oscillation and the Indian monsoon in two of these `large ensembles', and illustrate that the proper analysis may lead to conclusions qualitatively different from those relying on the time evolution of a single realization, questioning conclusions drawn about observations in the literature.

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