casys

Getting Started

  • Quick overview
  • Basic examples
  • Advanced examples
  • How to guides

Diagnostics & computation

  • Data source
  • Fields definition
  • Diagnostics
    • Raw along track data diagnostics
    • Raw comparison data diagnostics
    • Along time diagnostics
    • Geographical box diagnostics
    • Histogram diagnostics
    • Scatter diagnostics
    • Binned diagnostics
    • Ratio diagnostics
    • Crossovers diagnostics Nadir
    • Crossovers diagnostics Swath
    • Missing points diagnostics
    • Periodogram diagnostics
    • Section analyses diagnostics
    • Editing diagnostics
    • Spectral analysis diagnostics
  • Computation & data access
  • Miscellaneous

Data visualization

  • Plotting
  • Parameters
  • Templates
  • Plots’ elements
  • Plots’ operations
  • Miscellaneous

Reports

  • Report Manager
  • Casys Report

Utilities

  • DateHandler
  • NetCDF utilities

API reference

  • API
  • Changelog
casys
  • Diagnostics

Diagnostics

Once source and fields are defined, we can specify the data and diagnostics we want to read and compute, calling NadirData or SwathData methods.
Available diagnostics are listed below:
  • Raw along track data diagnostics
  • Raw comparison data diagnostics
  • Along time diagnostics
  • Geographical box diagnostics
  • Histogram diagnostics
  • Scatter diagnostics
  • Binned diagnostics
  • Ratio diagnostics
  • Crossovers diagnostics Nadir
  • Crossovers diagnostics Swath
  • Missing points diagnostics
  • Periodogram diagnostics
  • Section analyses diagnostics
  • Editing diagnostics
  • Spectral analysis diagnostics

Note

Undefined values (numpy.nan) are ignored when computing statistics.

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© Copyright 2020-2025, CNES / CLS. Last updated on 2025-05-14 11:03 +0200.

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