Low salinity intrusions in the western English Channel

Kelly-Gerreyn, B.A.; Hydes, D.J.; Jégou, Anne-Marie; Lazure, Pascal; Fernand, Liam; Puillat, Ingrid; García-Soto, Carlos

doi:10.1016/j.csr.2006.03.007

Cited by 49 publications

(24 citation statements)

References 19 publications

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“…The extent of the bloom is mapped using satellite data whilst discrete samples, taken from a ferry platform, identified Karenia mikimotoi as the dominant species in the mid July bloom. We examine the spatial and temporal variability of chlorophyll-fluorescence in relation to hydrographic measurements made from Ship Of Opportunity (SOO) operation using a Ferry-box (Hydes et al, 2003;Bargaron et al, 2006;Kelly-Gerreyn et al, 2006;Hartman et al, 2013). A 'time series' extracted from the Ferrybox dataset in the English Channel (49.7°N, 3.4°W) provides temporal coverage at the peak of the Karenia mikimotoi bloom while spatial context is provided by satellite data.…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

The role of hydrographic parameters, measured from a ship of opportunity, in bloom formation of Karenia mikimotoi in the English Channel

Hartman

Hydes

Smythe-Wright

et al. 2014

Journal of Marine Systems

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Section: Accepted M Manuscriptmentioning

confidence: 99%

The role of hydrographic parameters, measured from a ship of opportunity, in bloom formation of Karenia mikimotoi in the English Channel

Hartman

Hydes

Smythe-Wright

et al. 2014

Journal of Marine Systems

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“…Vanhoutte-Brunier et al (2008) described, with support of SeaWiFS imagery, the early and very intense monospecific Karenia bloom that occurred in spring-summer 2003. They also suggested to study the effect of inter-annual variability of fresh water intrusions from the Atlantic shelf (Kelly-Gerreyn et al, 2007) on Karenia bloom dynamics. The dynamic of other phytoplankton groups at larger scale should also be considered to attempt a deeper analysis of the reconstructed CHL signal.…”

Section: Background Fields and 3 Dominants Eofs Retained For Meris Chlmentioning

confidence: 99%

Cloud filling of ocean colour and sea surface temperature remote sensing products over the Southern North Sea by the Data Interpolating Empirical Orthogonal Functions methodology

Sirjacobs

Alvera‐Azcárate

Barth

et al. 2011

Journal of Sea Research

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Optical remote sensing data is now being used systematically for marine ecosystem applications, such as the forcing of biological models and the operational detection of harmful algae blooms. However, applications are hampered by the incompleteness of imagery and by some quality problems. The Data Interpolating Empirical Orthogonal Functions methodology (DINEOF) allows calculation of missing data in geophysical datasets without requiring a priori knowledge about statistics of the full dataset and has previously been applied to SST reconstructions. This study demonstrates the reconstruction of complete space-time information for 4 years of surface chlorophyll a (CHL), total suspended matter (TSM) and sea surface temperature (SST) over the Southern North Sea (SNS) and English Channel (EC). Optimal reconstructions were obtained when synthesising the original signal into 8 modes for MERIS CHL and into 18 modes for MERIS TSM. Despite the very high proportion of missing data (70%), the variability of original signals explained by the EOF synthesis reached 93.5% for CHL and 97.2% for TSM. For the MODIS TSM dataset, 97.5% of the original variability of the signal was synthesised into 14 modes. The MODIS SST dataset could be synthesised into 13 modes explaining 98% of the input signal variability. Validation of the method is achieved for 3 dates below 2 artificial clouds, by comparing reconstructed data with excluded input information. Complete weekly and monthly averaged climatologies, suitable for use with ecosystem models, were derived from regular daily reconstructions. Error maps associated with every reconstruction were produced according to Beckers et al. (2006). Embedded in this error calculation scheme, a methodology was implemented to produce maps of outliers, allowing identification of unusual or suspicious data points compared to the global dynamics of the dataset. Various algorithm artefacts were associated with high values in the outlier maps (undetected cloud edges, haze areas, contrails, and cloud shadows). With the production of outlier maps, the data reconstruction technique becomes also a very efficient tool for quality control of optical remote sensing data and for change detection within large databases.

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“…The onset of Karenia blooms in Omura Bay in Japan were also linked to rain-runoff events (Smayda, 2004). In comparing two consecutive years, Kelly-Gerreyn et al (2006) observed that the year (2003) of a K. mikimotoi bloom event at the southern entrance to the western English Channel coincided with fresher, warmer surface waters, lower wind stress and a shallower mixed-layer depth. We found a strong positive relationship between rainfall and K. mikimotoi abundance.…”

mentioning

confidence: 99%