Submodels

operational, please contact Patrick Jöckel (partick.joeckel *at* dlr.de)

Max Planck Institute for Chemistry
DLR Institute for Atmospheric Physics

generic (memory and meta-data management and data export)

Patrick Jöckel

Patrick Jöckel

The generic submodel CHANNEL provides a powerful application programming interface (API) to handle such data for the flexible and efficient data exchange/data sharing between different processes (submodels). It is written in Fortran95 (ISO/IEC-1539-1) following an object-oriented approach to the extent possible. The basic entities, implemented as Fortran95 structures, of CHANNEL are:
– attributes, representing time independent, scalar characteristics, e.g., the measuring unit
– dimension variables, representing specific coordinate axes, e.g., the latitude in degrees north, the zonal wave number, the trajectory number
– dimensions, representing the basic geometry in one dimension, e.g., the number of latitude points, the number of trajectories
– representations, describing multidimensional geometric structures (based on dimensions), e.g., Eulerian (or gridpoint), spectral, Lagrangian
– channel objects, representing data fields including their meta information (attributes) and their underlying geometric structure (representation), e.g., the 3-D vorticity in spectral representation, the ozone mixing ratio in Eulerian representation, the pressure altitude of trajectories in Lagrangian representation
– channels, representing sets of “related” channel objects with additional meta information. The “relation” can be, for instance, the simple fact that the channel objects are defined by the same submodel.

CHANNEL further serves the output into data files and the input/output (IO) into/from check-point (restart) files. The implemented IO features comprise:
– a complete control (user interface) via two Fortran95 namelists
– a powerful restart facility (check-pointing) for simulation chains
– output redirection to create tailor-made output files
– a flexible choice of the output file format, of the output method, of the output precision, of the output frequency, and
– the capability to conduct basic statistical analyses w.r.t. time on-line, i.e., to output in addition (or alternative) to the instantaneous data (i.e., at a specific model time step) the average, standard deviation, minimum, maximum, event counts, and event averages for the output time interval.

Astrid Kerkweg, Andreas Baumgaertner

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https://doi.org/10.5194/gmd-3-717-2010 (do not miss the supplementary material)