Global atmospheric simulation using the Super-Parameterized Community Atmosphere Model
- 1. Sandia National Laboratories
- 2. University of Washington
Description
A 1-month subset from a global atmospheric simulation using the Super-Parameterized Community Atmosphere Model (SP-CAM), which implements the Multi-scale Modeling Framework (MMF) described in Khairoutdinov and Randall (2001) and Khairoutdinov et al. (2005). The version of the SP-CAM used here is described in Marchand et al. (2009) and Ovtchinnikov et al (2006), and was run at Pacific Northwest National Laboratory with DOE support. It is based on CAM 3.0 for the global atmospheric component, and uses the System for Atmospheric Modeling (SAM; Khairoutdinov and Randall 2003). This simulation is configured with CAM running the finite volume dynamical core on a 2x2.5 degree latitude-longitude grid with 26 vertical levels. The embedded CRM (SAM) is configured with 64 horizontal columns at 4 km grid spacing with 24 vertical levels (sharing the bottom 24 levels with the CAM grid), and single-moment microphysics. The simulation was initialized on 1 September 1997 and runs through June 2002, forced with observed monthly-mean sea surface temperatures. Only the month of July 2000 is uploaded here, which is what is required to reproduce the results in Hillman et al. (2018).
Files
Files
(46.5 GB)
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Additional details
References
- Khairoutdinov and Randall (2001): A cloud-resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results, Geophysical Research Letters, 28, 3617–3620.
- Khairoutdinov et al. (2005): Simulations of the atmospheric general circulation using a cloud-resolving model as a superparameterization of physical processes, Journal of the Atmospheric Sciences, 62(7), 2136–2154, doi:10.1175/JAS3453.1.
- Marchand et al. (2009): A comparison of simulated cloud radar output from the Multiscale Modeling Framework global climate model with CloudSat cloud radar observations, Journal of Geophysical Research, 114, doi: 10.1029/2008JD009790.
- Ovtchinnikov, M., T. Ackerman, R. Marchand, and M. Khairoutdinov, 2006: Evaluation of the Multiscale Modeling Framework Using Data from the Atmospheric Radiation Measurement Program. J. Climate, 19, 1716–1729, https://doi.org/10.1175/JCLI3699.1
- Khairoutdinov and Randall 2003: Cloud-resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties and sensitivities. J. Atmos. Sci., 60, 607-625.
- Hillman et al. (2018): Sensitivities of simulated satellite views of clouds to subgrid-scale overlap and condensate heterogeneity. Journal of Geophysical Research (accepted).