Use Case 2

###High res, parallel, time average

Use Case: High spatial resolution, parallel, time average
Actor: Climate/Data Scientist
Use Scenario: A user requests a data set be averaged across a number of time steps.

• More than one processor is used to iterate through 3D time steps, run a filter on each, and render a 3D image.
• The data should be high resolution, ie. 1/10-degree global ocean (3600x2400x42).
• The data should be structured, ie. Rectilinear grid.
• The data for each time step should be divided spatially and distributed across more than one processor.
• The operation should return a single time step of the same spatial resolution as the time series that contains the positional temporal average.
  • For example 3 time steps = {1,2,3}, {1,2,6}, {7,8,9}
  • Return value is {3, 4, 6}

Alternative Paths:
Exceptional Cases:
Frequence: Medium
Criticality: High
Risk: High