• Title of article

    Bio-optical properties during the summer season in the Sea of Okhotsk

  • Author/Authors

    Takao، نويسنده , , Shintaro and Iida، نويسنده , , Takahiro and Isada، نويسنده , , Tomonori and Saitoh، نويسنده , , Sei-Ichi and Hirata، نويسنده , , Takafumi and Suzuki، نويسنده , , Koji، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    9
  • From page
    233
  • To page
    241
  • Abstract
    The Sea of Okhotsk is one of the most productive ocean regions in the world. However, the in situ bio-optical properties, which are crucial for satellite ocean-color of the productivity, remain uncertain in this region because little data have been available. We conducted an in situ observation and evaluated the bio-optical properties in terms of chlorophyll a (Chl a) concentration, spectral remote sensing reflectance (Rrs), and the light absorption coefficients of phytoplankton (aφ), non-algal particles (aNAP), and chromophoric dissolved organic matter (aCDOM) in the summer of 2006. The data covered a wide range of Chl a levels in surface waters from 0.3 to 8.5 mg m−3. At 443 nm, aCDOM dominated (64% on average) the total non-water absorption (at-w) in this study area. Based on the in situ Rrs data, surface Chl a concentrations that were estimated using the sea-viewing wide field-of-view sensor (SeaWiFS) OC4v6 and the moderate-resolution imaging spectroradiometer (MODIS) OC3M algorithms were significantly higher than the in situ data by more than 160% and 260%, respectively. In particular, the largest overestimation occurred in the region where aCDOM at 443 nm accounted for more than 80% of at-w near the mouth of the Amur River. However, except the CDOM-rich stations, the performance of the OC4v6 and OC3M algorithms became better (i.e., their mean normalized biases were reduced to 50% and 66%, respectively). We conclude that the operational global algorithms were applicable to the summer season in the Sea of Okhotsk except the CDOM-rich region, in which new approaches for ocean-color algorithms (i.e., local algorithms) would be required.
  • Journal title
    Progress in Oceanography
  • Serial Year
    2014
  • Journal title
    Progress in Oceanography
  • Record number

    2329267