2013
DOI: 10.1002/jgrc.20270
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Three improved satellite chlorophyll algorithms for the Southern Ocean

Abstract: [1] Remote sensing of Southern Ocean chlorophyll concentrations is the most effective way to detect large-scale changes in phytoplankton biomass driven by seasonality and climate change. However, the current algorithms for the Sea-viewing Wide Field-of-view Sensor (SeaWiFS, algorithm OC4v6), the Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua, algorithm OC3M), and GlobColour significantly underestimate chlorophyll concentrations at high latitudes. Here, we use a long-term data set from the Southern O… Show more

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Cited by 178 publications
(228 citation statements)
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References 28 publications
(44 reference statements)
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“…Panels (A-C) are satellite-derived (MODIS-A) estimates of surface-chl-a corrected for Southern Ocean application (Johnson et al, 2013). The missing data at the previous location of the MGT stems from a landmask-artifact in the NASA-data.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Panels (A-C) are satellite-derived (MODIS-A) estimates of surface-chl-a corrected for Southern Ocean application (Johnson et al, 2013). The missing data at the previous location of the MGT stems from a landmask-artifact in the NASA-data.…”
Section: Discussionmentioning
confidence: 99%
“…We used Level-3 binned daily remote sensing reflectance, provided at a resolution of 4 km equal-area bins, and corrected the values for Southern Ocean application using the algorithm in Johnson et al (2013). Daily measures of chlorophyll-a concentrations were averaged for southern hemisphere spring and summer in each year for a 5-year period before (2005-2009) and after (2011-2016) the calving of the MGT.…”
Section: Surface Productivity and Sea-icementioning
confidence: 99%
“…Biases are particularly noticeable in the Southern Ocean, which appears to have a very different optical signature (e.g. Szeto et al, 2011;Johnson et al, 2013). Our model results suggest that deep mixer layers (bringing high CDOM to the surface), a potentially different species composition (e.g.…”
Section: Discussion and Summarymentioning
confidence: 74%
“…Szeto et al, 2011;Johnson et al, 2013;Haentjens et al, 2017). To explore this using the model, we again assumed a large dataset (i.e.…”
Section: Discussion and Summarymentioning
confidence: 99%
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