kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Spectral Representation of Time and Physical Parameters in Numerical Weather Prediction
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.ORCID iD: 0000-0003-0160-4060
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.ORCID iD: 0000-0001-6379-1880
2018 (English)In: Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction, IntechOpen , 2018Chapter in book (Refereed)
Abstract [en]

Numerical weather prediction (NWP) is a difficult task in chaotic dynamical regimes because of the strong sensitivity to initial conditions and physical parameters. As a result, high numerical accuracy is usually necessary. In this chapter, an accurate and efficient alternative to the traditional time stepping solution methods is presented; the time-spectral method. The generalized weighted residual method (GWRM) solves systems of nonlinear ODEs and PDEs using a spectral representation of time. Not being subject to CFL-like criteria, the GWRM typically employs time intervals two orders of magnitude larger than those of time-stepping methods. As an example, efficient solution of the chaotic Lorenz 1984 equations is demonstrated. The results indicate that the method has strong potential for NWP. Furthermore, employing spectral representations of physical parameters and initial values, families of solutions are obtained in a single computation. Thus, the GWRM is conveniently used for studies of system parameter dependency and initial condition error growth in NWP.

Place, publisher, year, edition, pages
IntechOpen , 2018.
Keywords [en]
NWP time-spectral chaotic error analysis initial condition
National Category
Natural Sciences
Research subject
Physics
Identifiers
URN: urn:nbn:se:kth:diva-240836DOI: 10.5772/intechopen.80351OAI: oai:DiVA.org:kth-240836DiVA, id: diva2:1274975
Note

QC 20190121

Available from: 2019-01-04 Created: 2019-01-04 Last updated: 2024-03-18Bibliographically approved
In thesis
1. Time Spectral Methods - Towards Plasma Turbulence Modelling
Open this publication in new window or tab >>Time Spectral Methods - Towards Plasma Turbulence Modelling
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Energy comes in two forms; potential energy and kinetic energy. Energyis stored as potential energy and released in the form of kinetic energy. This process of storage and release is the basic strategy of all energy alternatives in use today. This applies to solar, wind, fossil fuels, and the list goes on. Most of these come in diluted and scarce forms allowing only a portion of the energy to be used, which has prompted the quest for the original source, the Sun.

As early as 1905 in the work by Albert Einstein on the connection between mass and energy, it has been seen theoretically that energy can be extracted from the process of fusing lighter elements into heavier elements. Later, this process of fusion was discovered to be the very source powering the Sun. Almost a century later, the work continues to make thermonuclear fusion energy a reality.

Looking closer at the Sun, we see that it consists of a hot burning gas subject to electromagnetic fields, i.e. a plasma. The plasma in the Sun is contained by the massive gravitational force which allows for fusion to be created in a stable and continuous process. Taking inspiration from the Sun we see that a hot plasma and its containment are key to achieving fusion. The gravitational force is not present on Earth, and creating it artificially is, a sof today, an insurmountable task. Fortunately, the plasma can be contained in another way; with magnetic fields.

The challenges of making fusion a viable energy source are numerous and diverse. To deal with these challenges there are several fields of fusion research; engineering, physics, and numerical analysis. These of course overlap, but serve to illustrate the focus of different groups. This thesis work is focused on the latter two, physics and numerical analysis.

The containment of the plasma in a fusion device is degraded by drift wave turbulence. The turbulence in the plasma occurs on the micro-scale, namely on the scale of particles travelling around the magnetic field lines. The physics behind turbulence and the drift waves responsible is a rich field with many future topics.

Since the micro-turbulence can quickly grow and diffuse plasma throughout the device in a matter of micro-seconds, it becomes a difficult challenge to numerically resolve the turbulence over a longer span of time. The typical confinement times required in a fusion device is on the order of several seconds. Thus, the main focus of this thesis is on developing a numerical method that can effectively resolve the plasma physics over longer time-intervals. To this effect, a Time-Spectral method has been developed that utilizes the advantageous properties of spectral methods to all domains, specifically the temporal domain. The numerical method has been implemented on compressible Navier-Stokes, ideal magnetohydrodynamics (MHD), and a toroidal two-fluid plasma turbulence model called the Weiland model.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2021. p. 107
Series
TRITA-EECS-AVL ; 2021:7
Keywords
Fusion, Turbulence, Micro-instabilities, Time-spectral, Navier-Stokes, MHD, Weiland model
National Category
Computational Mathematics Astronomy, Astrophysics and Cosmology
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-289443 (URN)
Public defence
2021-02-18, https://kth-se.zoom.us/webinar/register/WN_Bgjx0PKrRv6FdKwolR2Spg, Stockholm, 15:00 (English)
Opponent
Supervisors
Note

QC 20210129

Available from: 2021-01-29 Created: 2021-01-29 Last updated: 2024-11-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPublished version

Authority records

Lindvall, KristofferScheffel, Jan

Search in DiVA

By author/editor
Lindvall, KristofferScheffel, Jan
By organisation
Fusion Plasma Physics
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 194 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf