Atmospheric Kinetic Energy Spectra from Global High-Resolution Nonhydrostatic Simulations
By William C. Skamarock, Sang Hun Park, Joseph B. Klemp, C. Snyder. 2014
143 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/be91d5e96fe39475449a19e841132720d758c948
How researchers see this paper
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In Atmospheric Science
- Andrew Gettelman
- Richard B. Neale
- Nikolina Ban
- B. Medeiros
- Julio Bacmeister
- Peter H. Lauritzen
- James Joseph Benedict
- Christoph M. Schär
In Environmental Engineering
In Global and Planetary Change
- Andrew Gettelman
- Richard B. Neale
- Nikolina Ban
- B. Medeiros
- Julio Bacmeister
- Peter H. Lauritzen
- James Joseph Benedict
- Christoph M. Schär
Citations in the corpus
- NCAR Release of CAM‐SE in CESM2.0: A Reformulation of the Spectral Element Dynamical Core in Dry‐Mass Vertical Coordinates With Comprehensive Treatment of Condensates and Energy (2018, methodology): “The damping of temperature and vorticity in CAM-SE is similar to the damping in MPAS (i.e., MPAS uses a coefficient of 0.05 in front of the (⋅)3 term and CAM-SE uses 0.751) except that MPAS also applies second-order Smagorinsky diffusion.”
- Evaluation of the convection‐resolving climate modeling approach on continental scales (2017, background): “…operational numerical weather prediction [Benoit et al., 2002; Mass et al., 2002; Clark et al., 2016] and several convection-resolving landmark simulations have been achieved for global scales [Miura et al., 2007; Miyamoto et al., 2013; Skamarock et al., 2014; Wedi, 2014; Heinzeller et al., 2016].”