These actors hold the gridded data and provide the various methods needed for visualizing the features.
For all actors that visualize gridded data please note the following:
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For all these actors, there exists an add new variable option, on clicking the execute, the list of variables available in the data loaded with the data pipeline is displayed and the user can choose the variable that needs to be added.
The user needs to repeat this step to add multiple variables or even the same variable multiple times.Also, once a variable has been added, it has options so that it can be removed or changed.
It is possible to get some statistics about the data of a given variable.
Also, it is possible to export the data to an external file for debugging purposes.
Met.3D provides options to smoothen the data.
Currently horizontal smoothing is possible using either distance based or grid cell based modes.
We recommend to use the smooth mode "horizontalBoxBlur_distance" with "symmetric" boundary conditions.
Met.3D supports ensemble visualization. Each variable by default is synchronized to temporal extents and ensemble size based on the data loaded using the data pipeline.By, turning off the ensemble synchronization, the user can choose the members and the ensemble mode. Currently individual member or ensemble mean, standard deviation, min, max, max-min, above or below a threshold are supported.