full
search.png

Search

close.png

Cancel

arrow
Volume 19, Issue 2-3
An Exponential Time Differencing Time-Stepping Scheme for the Tracer Equations in MPAS-Ocean

Sara Calandrini, Philip W. Jones & Mark R. Petersen

Int. J. Numer. Anal. Mod., 19 (2022), pp. 175-193.

Published online: 2022-04

Preview Full PDF 1390 20844

Cited by

google scholar semantic scholar
Export citation
  • Abstract

Exponential time differencing (ETD) methods, also known as exponential integrators, constitute a class of numerical methods for the time integration of stiff systems of differential equations. This manuscript investigates an ETD scheme for solving the tracer equations appearing in primitive equation ocean models, and shows the results obtained when such a scheme is applied within a full ocean circulation model. The main idea behind the scheme is the treatment of the vertical terms (transport and diffusion) with a matrix exponential, whereas the horizontal terms are dealt with in an explicit way. The performance of the ETD scheme is compared against that of other semi-implicit time-stepping schemes for realistic ocean configurations on quasi-uniform and variable resolution meshes.

  • Keywords

Exponential time differencing, tracer equation, MPAS-Ocean.

  • AMS Subject Headings

35R35, 49J40, 60G40

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{IJNAM-19-175, author = {Calandrini , SaraJones , Philip W. and Petersen , Mark R.}, title = {An Exponential Time Differencing Time-Stepping Scheme for the Tracer Equations in MPAS-Ocean}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2022}, volume = {19}, number = {2-3}, pages = {175--193}, abstract = {

Exponential time differencing (ETD) methods, also known as exponential integrators, constitute a class of numerical methods for the time integration of stiff systems of differential equations. This manuscript investigates an ETD scheme for solving the tracer equations appearing in primitive equation ocean models, and shows the results obtained when such a scheme is applied within a full ocean circulation model. The main idea behind the scheme is the treatment of the vertical terms (transport and diffusion) with a matrix exponential, whereas the horizontal terms are dealt with in an explicit way. The performance of the ETD scheme is compared against that of other semi-implicit time-stepping schemes for realistic ocean configurations on quasi-uniform and variable resolution meshes.

}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/20476.html} }
TY - JOUR T1 - An Exponential Time Differencing Time-Stepping Scheme for the Tracer Equations in MPAS-Ocean AU - Calandrini , Sara AU - Jones , Philip W. AU - Petersen , Mark R. JO - International Journal of Numerical Analysis and Modeling VL - 2-3 SP - 175 EP - 193 PY - 2022 DA - 2022/04 SN - 19 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/20476.html KW - Exponential time differencing, tracer equation, MPAS-Ocean. AB -

Exponential time differencing (ETD) methods, also known as exponential integrators, constitute a class of numerical methods for the time integration of stiff systems of differential equations. This manuscript investigates an ETD scheme for solving the tracer equations appearing in primitive equation ocean models, and shows the results obtained when such a scheme is applied within a full ocean circulation model. The main idea behind the scheme is the treatment of the vertical terms (transport and diffusion) with a matrix exponential, whereas the horizontal terms are dealt with in an explicit way. The performance of the ETD scheme is compared against that of other semi-implicit time-stepping schemes for realistic ocean configurations on quasi-uniform and variable resolution meshes.

Sara Calandrini, Philip W. Jones & Mark R. Petersen. (2022). An Exponential Time Differencing Time-Stepping Scheme for the Tracer Equations in MPAS-Ocean. International Journal of Numerical Analysis and Modeling. 19 (2-3). 175-193. doi:
Copy to clipboard
BibteX RIS TXT
The citation has been copied to your clipboard