D
David L. Williamson
Researcher at National Center for Atmospheric Research
Publications - 106
Citations - 9538
David L. Williamson is an academic researcher from National Center for Atmospheric Research. The author has contributed to research in topics: Atmospheric model & Climate model. The author has an hindex of 48, co-authored 106 publications receiving 9118 citations. Previous affiliations of David L. Williamson include Massachusetts Institute of Technology.
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Journal ArticleDOI
The National Center for Atmospheric Research Community Climate Model: CCM3*
Jeffrey T. Kiehl,James J. Hack,Gordon B. Bonan,Byron A. Boville,David L. Williamson,Philip J. Rasch +5 more
TL;DR: The latest version of the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3) is described in this article, where the changes in both physical and dynamical formulation from CCM2 to CCM3 are presented.
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The Formulation and Atmospheric Simulation of the Community Atmosphere Model Version 3 (CAM3)
William D. Collins,Philip J. Rasch,Byron A. Boville,James J. Hack,James R. McCaa,David L. Williamson,Bruce P. Briegleb,Cecilia M. Bitz,Shian-Jiann Lin,Minghua Zhang +9 more
TL;DR: A new version of the Community Atmosphere Model (CAM) has been developed and released to the climate community as discussed by the authors, which is an atmospheric general circulation model that includes the Community Land Model (CLM3), an optional slab ocean model, and a thermodynamic sea ice model.
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A standard test set for numerical approximations to the shallow water equations in spherical geometry
TL;DR: In this paper, a suite of seven test cases is proposed for the evaluation of numerical methods intended for the solution of the shallow water equations in spherical geometry, which exhibit the major difficulties associated with the horizontal dynamical aspects of atmospheric modeling on the spherical earth.
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Two-Dimensional Semi-Lagrangian Transport with Shape-Preserving Interpolation
TL;DR: In this article, the shape-preserving interpolation method is applied to two-dimensional semi-Lagrangian advection in plane and spherical geometry, and the derivative estimates are modified to ensure that the interpolant is monotonic.
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Computational aspects of moisture transport in global models of the atmosphere
TL;DR: In this paper, the authors compared spectral and semi-Lagrangian methods to simulate the transport of water vapour in a global atmospheric general circulation model and identified a set of properties useful in characterizing numerical methods for modelling atmospheric transport.