The Software Description Ontology for Models

Variable that was calibrated in this particular model configuration calibration

Variable for which the model was calibrated for. For example, in a hydrology model one calibrate the predicted river width by varying hydrologic conductivity

Specific coordinates or shape associated with a region

Diagram associated to a model configuration

Property that links a causal diagram with its constituent nodes

Equations used in the model

Diagram used to explain the behavior of the model

Grid information about the model

Variable that is used as input for this model

Category associated with a model (e.g., Hydrology, etc.)

Time interval used in the model configuration

Variable that is used as output for this model

Property that indicates which physical processes (if any) are associated with a model

Property linking a region to a model configuration/calibration. This property implies that the described model configuration is prepared to execute in that target region

Property that captures if a physical process influences another process

Unit used in an interval (e.g., month)

Indicates the parent category of a given category

Indicates whether a region is part of another region

Property that links a parameter to the intervention it is relevant for.

Property that describes which models are used by a coupled model

Coordinate system used in a grid

Dimension of the grid (2D, 3D)

Property that represents the temporal interval used to calibrate a model

Calibration method used for a particular model configuration or setup

Elevation of a location (WGS84)

Sample result table associated with a model configuration

Grids may be: rectangular, triangular, hexagonal, hybrid, unstructured, block structure, etc.

Spatial resolution of a grid (e.g., 50m)

Value used in the time interval of a model (e.g., 1 month, 5 days, 'harvest cycle')

Latitude (coordinates) of a location (WGS84)

Known restrictions (i.e. cases where the model is known not to be reliable or shouldn't be used)

Longitude (coordinates) of a location (WGS84)

Property that indicates how have the parameters assigned in a model configuration (e.g., using an expert guess, by using calibration, etc.)

Were there any simplifications made to processes to make the model more efficient

An estimate of the time required to run example codes or other known configurations

What is the theory behind the processes described in the model

Date until which the calibration of a model is valid. For example, a trained model with data from 2005-2010 may only be valid for predictions until 2015.