PI: Robert Frouin, SIO/UCSD, Public Pages

• Proposals
  • BAYESIAN METHODOLOGY FOR OCEAN-COLOR REMOTE SENSING, Robert FROUIN and Bruno PELLETIER (PDF, 5 Mb)
  • separate page hosting above file
  • BAYESIAN METHODOLOGY FOR OCEAN-COLOR REMOTE SENSING, Robert FROUIN and Bruno PELLETIER (PDF, 5 Mb)
  • Bayesian Methodology for Atmospheric Correction of PACE ocean-Color Imagery (Dec. 2014)
• Reports
  • NASA SIMBADA Report, Aug 2012
  • IOCCG Calibration Report, Jan 2013 (PDF, 16 Mb)
  • NASA Report, June 2013 (PDF, 19 Mb)
  • GCOM_Frouin_311_Report_Year3.pdf, Mar 2016 (PDF, 13 Mb)
• Papers
  • Optical variability in the Southern Atlantic and Southeastern Pacific and implications for ocean color remote sensing, Rudorff, et al., May 2016 (MS word, 31 Mb)
• Reviews
  • Academic Review 13-14, Publications (Sep 2013)
• Projects
  • ICESCAPE Experiment
  • PACE/Aerosols
  • SIMBAD Project pages
  • SIMBAD-A Project pages
• Software
  • PAR
  • Water Reflectance Models (python) New
  • Park-Ruddick Water Reflectance Model (python) New
  • Morel-Maritorena Water Reflectance Model (python) New
• Data
  • COVE PAR(1,2) raw in situ data, julian day 122/2000 to 302/2015, [501 MB]
    • VARIABLES= "GMT Day","YEAR&GMT Day","GMT time (decimal hours)","solar zenith angle","solar azimuth","ambient temperature (C)","PAR1 (mean)","PAR2 (mean)"
    • data appears to start around 2003060 for par1, and 2005189 for par2
    • serial report for dataset
    • COVE data archive
    • The PAR data are given in mV. To convert the data to Einstein/m2/day:
    • PAR (E/m2/day) = PAR(mV) * 86.4 (Einstein/m2/day) / 5.0 (mV)
    • Taking one line of data: 10 March 2010, 18:36 GMT:
    • 100.7750 2010100 18.6000 35.5 221.6 11.71000 8.28840 8.24270
    • so par1=143.224, and par2=142.434 E/m2/day
• Algorithms
• Links