Efficient Parallel I/O in Community Atmosphere Model (CAM)

Efficient Parallel I/O in Community Atmosphere Model (CAM)

2 Abstract Century-long global climate simulations at high resolutions generate large amounts of data in a parallel architecture. Currently, Community Atmosphere Model (CAM), the atmospheric component of the NCAR Community Climate System Model (CCSM), uses sequential I/O which causes a serious bottleneck for these simulations. We describe the parallel I/O development of CAM in this paper. The p...

Description of the NCAR Community Atmosphere Model ( CAM 4 . 0 )

Efficient data IO for a Parallel Global Cloud Resolving Model

Execution of a Global Cloud Resolving Model (GCRM) at target resolutions of 2e4 km will generate, at a minimum, 10s of Gigabytes of data per variable per snapshot. Writing this data to disk, without creating a serious bottleneck in the execution of the GCRM code, while also supporting efficient post-execution data analysis is a significant challenge. This paper discusses an Input/Output (IO) ap...

Predicting cloud droplet number concentration in Community Atmosphere Model (CAM)-Oslo

[1] A new framework for calculating cloud droplet number, including a continuity equation for cloud droplet number concentration, has been developed and implemented in an extended version of the National Center for Atmospheric Research (NCAR) Community Atmosphere Model version 2.0.1 (CAM-2.0.1). The new continuity equation for cloud droplet number concentration consists of a nucleation term and...

New dissipation mechanisms for the spectral element dynamical core in the Community Atmosphere Model (CAM)

We introduce new resolution-aware dissipation mechanisms for CAM-SE (CAM with the spectral element dycore from HOMME) and evaluate their performance for a set of problems with locally refined grids. CAM-SE uses unstructured quadrilateral meshes with hyperviscosity for horizontal dissipation. The hyperviscosity operator requires a resolution-dependent coefficient. For variable-resolution grids, ...