By I. Yucel
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Additional info for Atmospheric Model Applications
Several options exist to derive the initial state of the HRM. , 2002). There is less adaptation of HRM to the ﬁne scale topography, and local observations, not distributed on the global telecommunication system, may have a beneﬁcial impact on the initial state of the HRM. As of now, two options are available for lateral boundary conditions of the HRM, namely (a) GME forecasts ﬁelds or (b) ECMWF forecast ﬁelds. We have made use of GME forecast ﬁelds for providing the lateral boundary conditions to the HRM.
Klein et al. 2006 describes the decision-making process of the experienced weather forecaster with a recognition primed decision model, that combines both analysis and intuition. During satellite launch missions the human decision-making process is put under a lot of pressure and taking the right decision can become very difﬁcult and require a lot of experience. In such situations we can maintain and reinforce the role of the human forecaster if we are able to give the forecaster the opportunity to ﬁnd ways to continue to gain expertise in a rapidly changing technological environment.
2011). The concurrency in the access to the shared ﬁle system, the size of the requests and the large number of small ﬁles created were pointed as responsible for the bad performance with PVFS and NFS. Recent work from ( Kassick et al, 2011) presented a trace-based visualization of OLAM’s I/O performance and has shown that, when using the NFS File System to store the results on a multi-core cluster, most of the time spent in the output routines was spent in the close operation. Because of that, they propose to delay the close operation until the next output phase in order to increase the I/O performance.