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  1. JASMIN CIS
  2. JASCIS-303

Create a separate time series command for aggregating just over time

    Details

    • Type: Improvement
    • Status: Open
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: 2.0
    • Component/s: None
    • Labels:
      None

      Description

      The talk by Cristoph Paulik dealt a lot with this ( http://splendidabacus.com/2015-eoscience2.0/). He also talked about the problem of storing ungridded time series data. Talked about using contiguous ragged (or indexed ragged) netCDF (CF compliant) data sets. This is all done by a package called pygeobase. It also does some clever temporal traversal of data given a spatial region.

      This should be easy with pandas though...

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          duncan.watson-parris@physics.ox.ac.uk Duncan Watson-Parris added a comment -
          This should solve many of the problems I need the hybrid structures for - I think. Output would still be I gridded (but with coarser time values)
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          duncan.watson-parris@physics.ox.ac.uk Duncan Watson-Parris added a comment - This should solve many of the problems I need the hybrid structures for - I think. Output would still be I gridded (but with coarser time values)

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              • Created:
                Updated: