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Title: Algorithmically scalable block preconditioner for fully implicit shallow-water equations in CAM-SE

Journal Article · · Computational Geosciences
 [1];  [1];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC05-00OR22725; AC52-07NA27344
OSTI ID:
1185403
Alternate ID(s):
OSTI ID: 1762864
Report Number(s):
LLNL-JRNL-648227; KP1703020; ERKP815
Journal Information:
Computational Geosciences, Vol. 19, Issue 1; ISSN 1420-0597
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 5 works
Citation information provided by
Web of Science

References (21)

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A Spectral Deferred Correction Method Applied to the Shallow Water Equations on a Sphere journal October 2013
Block preconditioners for finite element discretization of incompressible flow with thermal convection: BLOCK PRECONDITIONERS FOR CONVECTION journal February 2012
Semi-Implicit Spectral Element Atmospheric Model journal January 2002
A standard test set for numerical approximations to the shallow water equations in spherical geometry journal September 1992

Cited By (1)