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The monthly front strength and persistence products, which form the basis of subsequent longer average 
products in FRONTWARD, are derived from compositing fronts detected on individual satellite images. This 
process is described below. 
3.1.1 
Sea surface temperature fronts 
To detect Sea Surface temperature (SST) fronts in individual scenes the single-image edge detection (SIED) 
algorithm by Cayula and Cornillon (1995) is used. SIED is an automated method that identifies where there 
is a significant difference between the mean temperature of neighbouring water masses. It is a robust 
approach for identifying genuine oceanic fronts from other thermal gradients. In this work, a front is indicated 
where the mean temperatures of the adjacent water masses differ by at least 0.45ᵒC. To generate the SST 
fronts, the SIED algorithm was applied to a timeseries of AVHRR SST data over the FRONTWARD study area 
for the period 01-01-2010 to 31-12-2019.  
For the years 2010 to 2019, all fronts detected over a month window were included in composite monthly 
front maps (Miller, 2009).  
3.1.2 
Ocean colour fronts  
The same front detection algorithm was applied to ocean colour data: these are the daily Sentinel-3A OLCI 
chlorophyll-a data at higher (300m) resolution for 7.5 years from launch in May 2016 to Dec. 2023. The 
product used in this study was the OC5CI chlorophyll-a product (Pardo et al., 2024), a variation of the OC5 
algorithm (Gohin, Druon and Lampert, 2002). This algorithm is designed for both open ocean (Case 1) waters 
and optically complex coastal (Case 2) waters. The colour properties of Case 1 waters are determined by the 
concentration of phytoplankton and its associated chlorophyll, while in Case 2 waters the colour properties 
are determined by other constituents such as sediment or coloured dissolved organic matter. As Chl-a has a 
log-normal distribution, the product is first log-transformed to enable front detection to apply consistently 
to low and high concentrations. A front is indicated where the Chl-a concentration differs by at least 0.06 log 
mg Chl-a.  
Although the algorithm is designed to estimate Chl-a concentration only, due to the inherent complexity of 
marine optics it will also indicate some suspended sediment features. This is actually an advantage for the 
current study, as the fronts will delineate both phytoplankton blooms and sediment plumes, which may 
influence the distribution of biodiversity.</gco:CharacterString>
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        <gco:CharacterString>ABP Marine Environmental Research</gco:CharacterString>
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