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The Weather Research Forecast (WRF) model developed at NCAR is the community weather model. WRF is designed in such a way that it has standard configuration and IO common APIs to enable external IO packages to be easily added to. An application can select which IO module to use. The current WRF software package supports a netCDF WRF IO module.
This talk presents a new HDF5 WRF IO modules, The Parallel HDF5-WRF uses the parallel HDF5 library, which is implemented with MPI IO. Performance studies show that this module can improve performance for computations with large IO requirements. The sequential HDF-WRF module can support in memory compression that can save disk space.
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