Statistics – Methodology
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm13a0305m&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #SM13A-0305
Statistics
Methodology
2499 General Or Miscellaneous, 2722 Forecasting (7924, 7964), 2753 Numerical Modeling, 2799 General Or Miscellaneous, 9820 Techniques Applicable In Three Or More Fields
Scientific paper
The varying output formats of space weather model data makes it increasingly difficult to both analyze and share. These unique output formats are often times platform dependant and also require intricate knowledge of the physical layout and properties of each output file in order to access the data. Custom read routines are required for each model and output format, which greatly reduces the portability of not only the data itself, but also any analysis tools that are developed to specifically handle a particular format. The CCMC is currently implementing a comprehensive data format standardization methodology that allows heterogeneous model output data to be stored uniformly in any common science data format. These standardized files contain both the original model output data as well as additional metadata elements to create platform independent and self-descriptive data files. To facilitate model data dissemination, data reuse, and code reuse - the CCMC is providing standardized model data along with a library of access and interpolation routines that allow direct access to both model data as well as the embedded metadata. This library provides access to data at any given position and time without needing to be familiar with the internal layout of the files. We will discuss what routines are available, how to use them, and our experiences to date.
Hesse Matthias
Maddox M. M.
Rastätter Lutz
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