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rbrargo_dmqc's Introduction

README

The repository includes resources necessary to improve data quality from the RBRargo3 in Delayed-Mode Quality Check (DMQC). It addresses to major aspects of the data:

  1. Compressibility correction
  2. Dynamic corrections

Compressibility correction

A single routine call compressibility_RBRargo3.m does it all and apply the compressibility corrections for the RBRargo3 CTDs deployed on Argo floats.

  1. Compute conductivity using gsw_C_from_SP( )
  2. Update conductivity's compressiblity calibration using

Cnew = compressibility_RBRargo3(COND,PRES,PRES_ADJUSTED,WMO)

The routine automatically imports the updated calibration coefficients for the WMO numbers specified.

  1. Compute corrected salinity using gsw_SP_from_C( ) with Cnew

Dynamic corrections

A single routine call celltm_RBRargo3.m does it all and apply all state-of-the-art corrections for the RBRargo3 CTD

  • Requirements:
    • TEMP - Marine temperature measured by the RBRargo3 [in °C]
    • PRES - Sea Pressure measured by the RBRargo3 [in dbar]
    • NB_SAMPLE_CTD
    • TEMP_CNDC - Internal temperature recorded by the RBRargo3 [in °C]
    • sampling frequency [in Hz]
  1. Compute conductivity using gsw_C_from_SP( )
  2. Compute elapsed time. If not directly available, it can be inferred from the sampling frequency (and NB_SAMPLE_CTD if data is binned).
  3. Apply dynamic correction:

Run TEMPcell = celltm_RBRargo3(TEMP_ADJUSTED ,PRES_ADJUSTED,TEMP_CDNC, elptime)

  1. Compute corrected salinity using gsw_SP_from_C( ) with TEMPcell

Who do I talk to?

Write to RBR at [email protected]

rbrargo_dmqc's People

Contributors

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