Formation of large-scale structures by turbulence in rotating planets

Abstract

This thesis presents a newly developed theory for the formation and maintenance of eddy-driven jets in planetary turbulence. The novelty is that jet formation and maintenance is studied as a dynamics of the statistics of the flow rather than dynamics of individual realizations. This is pursued using Stochastic Structural Stability Theory (S3T) which studies the closed dynamics of the first two cumulants of the full statistical state dynamics of the flow by neglecting or parameterizing the third and higher-order cumulants. S3T is an analytical, predictive and quantitative theory for turbulence that proceeds directly from the equations of motion and provides a way of finding turbulent statistical equilibria and determining their stability. Instability of the statistics of the flow signifies transition of the turbulent regime to a new regime. With this statistical closure large-scale structure formation is studied in barotropic turbulence on a beta-plane. By studying the dynamics of the s ...
show more

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/35501
Handle URL
http://hdl.handle.net/10442/hedi/35501
ND
35501
Alternative title
Σχηματισμός δομών μεγάλης κλίμακας σε τυρβώδεις ροές ουρανίων σωμάτων
Author
Constantinou, Navid (Father's name: Constantinos)
Date
2015
Degree Grantor
National and Kapodistrian University of Athens
Committee members
Ιωάννου Πέτρος
Τσαμπαρλής Μιχαήλ
Αποστολάτος Θεοχάρης
Φραντζεσκάκης Δημήτριος
Δουγαλής Βασίλειος
Farrell F. Brian
Ακύλας Τριαντάφυλλος
Discipline
Natural SciencesPhysical Sciences
Keywords
Planetary turbulence; Polar jet stream; Zonal jets; Large-scale structures; Self-organization of turbulent flows
Country
Greece
Language
English
Description
xii, 190 σ., im., tbls., fig.
Rights and terms of use
Το έργο παρέχεται υπό τους όρους της δημόσιας άδειας του νομικού προσώπου Creative Commons Corporation:
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.
Related items (based on users' visits)