• DocumentCode
    144371
  • Title

    Upper ocean salinity stratification and rain freshening in the tropics observed from Aquarius

  • Author

    Meissner, Thomas ; Wentz, Frank ; Scott, Joel ; Hilburn, Kyle

  • Author_Institution
    Remote Sensing Syst., Santa Rosa, CA, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    5111
  • Lastpage
    5114
  • Abstract
    We present validation results for the Aquarius Version 3.0 ocean surface salinity product that has been released in June 2014. We focus on comparing the Aquarius salinity in the tropics with measurements from the ARGO drifter network, moored PMEL buoys and HYCOM. The results are stratified as function of surface rain rate. As the measurements occur at different depth below the ocean surface, this allows an assessment of salinity stratification within the very upper ocean layer and rain induced freshening effects. We separate the rain freshening effects from local biases in the Aquarius salinity that correlate with sea surface temperature and are likely related to uncertainties in the geophysical model that is used in the salinity retrieval algorithm. We derive an adjustment for this SST-dependent biases and evaluate the performance of this bias-adjusted salinity product. A comparison between the standard Aquarius salinity product and the CAP salinity is also presented.
  • Keywords
    ocean chemistry; oceanographic techniques; radiometry; rain; remote sensing; salinity (geophysical); AD 2014 06; ARGO drifter network; ARGO measurement comparison; Aquarius Version 3.0; Aquarius ocean surface salinity product; HYCOM data comparison; SST dependent bias; freshening effects; moored PMEL buoy data comparison; salinity retrieval algorithm; salinity stratification assessment; surface rain rate; tropics; upper ocean rain freshening; upper ocean salinity stratification; Ocean temperature; Rain; Sea measurements; Sea surface; Standards; Aquarius; Ocean Surface Salinity; Stratification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947647
  • Filename
    6947647