Reader+ (Dataset Merging)

With multiple Data Products, it becomes necessary to merge the processed data from each Data Product, producing a consistent set of output grids. Dataset Merging is performed with prioritization, statistical combination, and missing data filling. Below is a description of the steps of merging data products after the Data Product processing is completed.

• Select Data Product based on priority
  • Each Data Product is provided a priority
  • If two grids from different Data Products are coincident in time, the one with the lowest priority value is selected
  • Data Products can have matching priority
    • When two Data Products have equal priority, the Data Merging Statistic will be applied to combine coincident grids
• Data Merging Statistic
  • The Data Merging Statistic can be one of three options
    • Average
      • Compute the average of each grid cell, from each of the temporally coincident grids
    • Minimum
      • Use the minimum of each grid cell, from each of the temporally coincident grids
    • Maximum
      • Use the maximum of each grid cell, from each of the temporally coincident grids
• Fill Temporal Gaps
  • Applies to the entire output time window
  • Can use two options
    • Use Default Value
      • Creates a grid filled with a default value for any missing time steps in the output time window
    • Leave Missing
      • Leaves any data gaps empty
• Fill Missing Data
  • Applies to grid cells with missing values after merging
  • Three options
    • Leave Missing
    • Default Value
    • Average adjacent cell values

After merging is completed, the grids are saved to the MetVueCache directory. See Interaction between Reader+ and Map Window.