Modes and mechanisms of ocean color variability in the Santa Barbara Channel

Toole, Dierdre A.; Siegel, David A.

doi:10.1029/2000jc000371

Cited by 67 publications

(71 citation statements)

References 37 publications

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“…7, being excluded), with a rather seasonally stable mixed-layer depth (20-50 m) and average [Chl] of around 2 mg m 23 , with higher chlorophyll levels from April to July and lower values in the fall. Intense blooms are found within the SBC, usually in late spring (Toole and Siegel 2001;Otero and Siegel 2004). However, the timing of the spring blooms varies enough from year to year to smear out the mean annual cycle signal (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…1B). The SBC is an optically complex coastal site in which optical properties are affected by phytoplankton blooms, sediment plumes, and other episodic events, including mixing of various water masses (Toole and Siegel 2001;Otero and Siegel 2004;Kostadinov et al 2007). There is a complex mix of cold water of relatively low salinity upwelled off Point Conception and warm, saltier Southern California Bight waters (Harms and Winant 1998).…”

Section: Methodsmentioning

confidence: 99%

“…Data from two oceanic sites are used here: BOUée pour l'acquiSition d'une Série Optique à Long termE (BOUS-SOLE; a French acronym that literally translates as ''Buoy for the acquisition of a long-term optical time series''; Antoine et al 2006; http://www.obs-vlfr.fr/Boussole) and Plumes and Blooms (PnB; Toole and Siegel 2001;Otero and Siegel 2004;Kostadinov et al 2007; http://www.icess. ucsb.edu/PnB/PnB.html).…”

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confidence: 99%

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Variability in optical particle backscattering in contrasting bio‐optical oceanic regimes

Antoine¹,

Siegel²,

Kostadinov³

et al. 2011

Limnology & Oceanography

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Variability in the optical particle backscattering coefficient (b bp ) is investigated in oceanic waters from two sites, namely the BOUée pour l'acquiSition d'une Série Optique à Long termE site in the northwestern Mediterranean Sea and the Plumes and Blooms stations in the Santa Barbara Channel off Southern California. Data from these two sites span two orders of magnitude in b bp and likely cover typical open ocean values. A significant relationship is found between b bp at wavelengths of 442 and 555 nm and chlorophyll concentration. However the large spread in this relationship makes chlorophyll a poor predictor of b bp . The relationship between b bp and the particulate beam attenuation coefficient at 660 nm is tighter for both sites, indicating covariability of the particle size ranges that determine both coefficients. A detailed study of the seasonal changes of the b bp vs. chlorophyll relationship reveals that this bio-optical relationship might be best described as a succession of distinct regimes with rapid transitions from one to another. The backscattering ratio (b bp ; the ratio of b bp to total particulate scattering, b p ) ranges from about 0.2% to 1.5%, which is similar to previously reported values. The relationship between b bp and chlorophyll was not significant, while values of the backscattering ratio varied spectrally.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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confidence: 99%

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Variability in optical particle backscattering in contrasting bio‐optical oceanic regimes

Antoine¹,

Siegel²,

Kostadinov³

et al. 2011

Limnology & Oceanography

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“…For this backscattering resulting in high values of upwelling radiation in the green-yellow band (λ = 555 nm) was used. The nLw555 product is commonly utilized to distinguish river plumes, and was strongly correlated with TSS concentration ([TSS]) in near-surface waters (Lahet et al, 2001;Loisel et al, 2001;Toole & Siegel, 2001;Otero & Siegel, 2004;Nezlin & Di Giacomo, 2005;Thomas & Weatherbee, 2006). For each scene, the plume extension was delimited by thresholding of the nLw555 image.…”

Section: Satellite Imagerymentioning

confidence: 99%

The influence of the Guadalquivir river on spatio-temporal variability in the pelagic ecosystem of the eastern Gulf of Cádiz

Caballero

Morris²,

Pietro³

et al. 2014

Medit. Mar. Sci.

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This study examines the spatio-temporal variability of the turbidity plume and phytoplankton biomass (in terms of chlorophyll) in the marine region influenced by the Guadalquivir estuary using ocean colour images over a period of 11 years (2003-2013). The area of the turbidity plume was calculated using water-leaving radiance at 555 nm (nLw555). Climatologic and monthly averages showed recurrent high nLw555 levels in winter and high chlorophyll in spring. Similar variability was confirmed by Empirical Orthogonal Function (EOF) analysis of 8-day composite images, illustrating the existence of different regions with similar behavior. The first EOF mode explained 60.7% and 31% of the variability in nLw555 and chlorophyll, respectively, and was associated with enhanced Total Suspended Solids (TSS) in autumn-winter and phytoplankton blooms in winter-spring periods. The results confirmed that the development of the turbidity plume and subsequent phytoplankton blooms were strongly regulated by river discharges and precipitation. Indeed, interannual variation in nLw555 was consistent with changes in the large-scale climate index, the North Atlantic Oscillation, a proxy for regional rainfall patterns. In the case of phytoplankton biomass, the second EOF mode revealed differentiation between offshore and nearshore areas, the latter characterized by delayed development of phytoplankton bloom due to light limitation by high TSS. This suggests that the stability of the water column, via its influence on phytoplankton light-limitation, influenced also the timing and magnitude of phytoplankton bloom events. The dynamic of the Guadalquivir estuary turbidity plume is a crucial factor for the pelagic ecosystem of the Eastern Gulf of Cadiz, governing phytoplankton productivity.

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“…The spectra were relatively not sensitive to changes in the concentrations of Chl a and CDOM under high concentrations of suspended sediments [34,35], but at lower concentrations of suspended sediments, the data may have been influenced by the concentrations of Chl a and CDOM based upon the absorption characteristics. Previous research used empirical orthogonal function (EOF) analysis to study similar turbid waters and the results indicated that 74% [10] or nearly two-thirds [44] of the total variance of R rs can be partly explained by particulate backscattering (b bp ), whereas particulate and dissolved absorption only explained 15% [10] or 30% [44] of the ocean color variability based on different data sets. The associated classification results were shown to be a good tool for an inversion algorithm in previous research too [10,45].…”

Section: Analysis For the Imagery Classification Resultsmentioning

confidence: 99%

Spectral Classification of the Yellow Sea and Implications for Coastal Ocean Color Remote Sensing

Li³

et al. 2016

Remote Sensing

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Abstract:Remote sensing reflectance (R rs ) classification of coastal waters is a useful tool to monitor environmental processes and manage marine environmental resources. This study presents classification work for data sets that were collected in the Yellow Sea during six cruises (spring and autumn, 2003; summer and winter, 2006/2007; and spring and autumn, 2007). Specifically, we analyzed classification features of R rs spectra and obtained spatio-temporal characteristics of reflectance and bio-optical properties in the coastal waters. Yellow Sea waters were classified into the following four typical regions based on their spatial distribution characteristics: middle of the Yellow Sea (MYS), north Yellow Sea (NYS), coastal Shandong (CS), and Jiangsu shoal (JS), and five water type categories consisting of Classes A-E were used to represent water colors from clear to very turbid. Application of this classification scheme to Medium Resolution Imaging Spectrometer (MERIS) imagery revealed seasonal variations in the data, which suggests that the water types have both significant temporal and spatial distributions. In particular, the area of Class E waters in the Jiangsu shoal tended to gradually shrink in summer and expand in winter. The spatio-temporal variability was due to the influence of various environmental factors such as currents, tidal activity, fresh water discharges, monsoon winds, and typhoons.

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Modes and mechanisms of ocean color variability in the Santa Barbara Channel

Cited by 67 publications

References 37 publications

Variability in optical particle backscattering in contrasting bio‐optical oceanic regimes

Variability in optical particle backscattering in contrasting bio‐optical oceanic regimes

The influence of the Guadalquivir river on spatio-temporal variability in the pelagic ecosystem of the eastern Gulf of Cádiz

Spectral Classification of the Yellow Sea and Implications for Coastal Ocean Color Remote Sensing

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