CAM-SE–CSLAM: Consistent Coupling of a Conservative Semi-Lagrangian Finite-Volume Method with Spectral Element Dynamics
Abstract
An algorithm to consistently couple a conservative semi-Lagrangian finite-volume transport scheme with a spectral element (SE) dynamical core is presented. The semi-Lagrangian finite-volume scheme is the Conservative Semi-Lagrangian Multitracer (CSLAM), and the SE dynamical core is the National Center for Atmospheric Research (NCAR)’s Community Atmosphere Model–Spectral Elements (CAM-SE). The primary motivation for coupling CSLAM with CAM-SE is to accelerate tracer transport for multitracer applications. The coupling algorithm result is an inherently mass-conservative, shape-preserving, and consistent (for a constant mixing ratio, the CSLAM solution reduces to the SE solution for air mass) transport that is efficient and accurate. This is achieved by first deriving formulas for diagnosing SE airmass flux through the CSLAM control volume faces. Thereafter, the upstream Lagrangian CSLAM areas are iteratively perturbed to match the diagnosed SE airmass flux, resulting in an equivalent upstream Lagrangian grid that spans the sphere without gaps or overlaps (without using an expensive search algorithm). This new CSLAM algorithm is not specific to airmass fluxes provided by CAM-SE but applies to any airmass fluxes that satisfy the Lipshitz criterion and for which the Courant number is less than one.
- Authors:
-
- National Center for Atmospheric Research, Boulder, Colorado
- Sandia National Laboratories, Albuquerque, New Mexico
- Department of Land, Air, and Water Resources, University of California, Davis, Davis, California
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1344324
- Grant/Contract Number:
- 12-015334
- Resource Type:
- Published Article
- Journal Name:
- Monthly Weather Review
- Additional Journal Information:
- Journal Name: Monthly Weather Review Journal Volume: 145 Journal Issue: 3; Journal ID: ISSN 0027-0644
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Lauritzen, Peter Hjort, Taylor, Mark A., Overfelt, James, Ullrich, Paul A., Nair, Ramachandran D., Goldhaber, Steve, and Kelly, Rory. CAM-SE–CSLAM: Consistent Coupling of a Conservative Semi-Lagrangian Finite-Volume Method with Spectral Element Dynamics. United States: N. p., 2017.
Web. doi:10.1175/MWR-D-16-0258.1.
Lauritzen, Peter Hjort, Taylor, Mark A., Overfelt, James, Ullrich, Paul A., Nair, Ramachandran D., Goldhaber, Steve, & Kelly, Rory. CAM-SE–CSLAM: Consistent Coupling of a Conservative Semi-Lagrangian Finite-Volume Method with Spectral Element Dynamics. United States. https://doi.org/10.1175/MWR-D-16-0258.1
Lauritzen, Peter Hjort, Taylor, Mark A., Overfelt, James, Ullrich, Paul A., Nair, Ramachandran D., Goldhaber, Steve, and Kelly, Rory. Wed .
"CAM-SE–CSLAM: Consistent Coupling of a Conservative Semi-Lagrangian Finite-Volume Method with Spectral Element Dynamics". United States. https://doi.org/10.1175/MWR-D-16-0258.1.
@article{osti_1344324,
title = {CAM-SE–CSLAM: Consistent Coupling of a Conservative Semi-Lagrangian Finite-Volume Method with Spectral Element Dynamics},
author = {Lauritzen, Peter Hjort and Taylor, Mark A. and Overfelt, James and Ullrich, Paul A. and Nair, Ramachandran D. and Goldhaber, Steve and Kelly, Rory},
abstractNote = {An algorithm to consistently couple a conservative semi-Lagrangian finite-volume transport scheme with a spectral element (SE) dynamical core is presented. The semi-Lagrangian finite-volume scheme is the Conservative Semi-Lagrangian Multitracer (CSLAM), and the SE dynamical core is the National Center for Atmospheric Research (NCAR)’s Community Atmosphere Model–Spectral Elements (CAM-SE). The primary motivation for coupling CSLAM with CAM-SE is to accelerate tracer transport for multitracer applications. The coupling algorithm result is an inherently mass-conservative, shape-preserving, and consistent (for a constant mixing ratio, the CSLAM solution reduces to the SE solution for air mass) transport that is efficient and accurate. This is achieved by first deriving formulas for diagnosing SE airmass flux through the CSLAM control volume faces. Thereafter, the upstream Lagrangian CSLAM areas are iteratively perturbed to match the diagnosed SE airmass flux, resulting in an equivalent upstream Lagrangian grid that spans the sphere without gaps or overlaps (without using an expensive search algorithm). This new CSLAM algorithm is not specific to airmass fluxes provided by CAM-SE but applies to any airmass fluxes that satisfy the Lipshitz criterion and for which the Courant number is less than one.},
doi = {10.1175/MWR-D-16-0258.1},
journal = {Monthly Weather Review},
number = 3,
volume = 145,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}
https://doi.org/10.1175/MWR-D-16-0258.1
Web of Science