1995
DOI: 10.1029/94jc01447
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Bio‐optical variability associated with phytoplankton dynamics in the North Atlantic Ocean during spring and summer of 1991

Abstract: Bio-optical data recorded from April 30 to July 19, 1991, using a mooring located in the open ocean (59ø35.6'N, 20ø57.9'W) are described and interpreted. Five multi-variable moored systems (MVMS) were deployed in the upper 90 m to obtain concurrent, co-located measurements of horizontal currents, water temperature, photosynthetically available radiation (PAR), transmission of light at 660 nm (c660), and stimulated chlorophyll fluorescence. In addition, meteorological and subsurface temperature data (12 depths … Show more

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Cited by 49 publications
(20 citation statements)
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“…Fitting a least-squares curve to the annual chlorophyll time series is desirable for effectively capturing the seasonal increase in phytoplankton while eliminating highfrequency noise. Blooms can be categorized either as persistent, intense increases in phytoplankton or as longer-lasting, intermittent increases that are less intense, stimulated by the interruption of stratification following the passage of weather systems and propagation of mesoscale eddies (Stramska and Dickey 1994;Lévy et al 2000;Waniek 2002). Attempts to fit simple functions, such as a Gaussian curve, often fail for the latter bloom type, which is characterized by multiple peaks in chlorophyll concentration during the bloom period.…”
Section: Study Region and Data Description-daily Standardmentioning
confidence: 99%
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“…Fitting a least-squares curve to the annual chlorophyll time series is desirable for effectively capturing the seasonal increase in phytoplankton while eliminating highfrequency noise. Blooms can be categorized either as persistent, intense increases in phytoplankton or as longer-lasting, intermittent increases that are less intense, stimulated by the interruption of stratification following the passage of weather systems and propagation of mesoscale eddies (Stramska and Dickey 1994;Lévy et al 2000;Waniek 2002). Attempts to fit simple functions, such as a Gaussian curve, often fail for the latter bloom type, which is characterized by multiple peaks in chlorophyll concentration during the bloom period.…”
Section: Study Region and Data Description-daily Standardmentioning
confidence: 99%
“…Surface wind influences bloom timing via its effect on the strength and depth of vertical mixing. Stirring of the upper ocean, stimulated by the passage of weather systems during the late-winter to early-spring period, disrupts the development of water column stratification (Stramska et al 1995) and thereby affects the timing of seasonal increases in phytoplankton. Modest light levels during late winter and early spring, combined with calm wind conditions that lead to shallow surface mixed layers, can stimulate early phytoplankton growth, prior to the development of thermal stratification (Townsend et al 1992;Stramska and Dickey 1994).…”
mentioning
confidence: 99%
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“…Although bloom composition and specific timing vary with ice conditions and other annual variables, the overall dynamics of blooms in these environments are generally similar. Chlorophyll concentrations and algal cell abundances increase dramatically during late spring in conjunction with rapidly increasing light levels, day lengths, and ice retreat (Lochte et al 1993;Stramska et al 1995;Smith et al 2000).…”
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confidence: 99%
“…The variability and linkages of the biological pump from surface to depth are poorly understood, because virtually all information on carbon dynamics within the upper kilometer of the ocean is derived from ship-dependent systems deployed for short periods of time (e.g., days to weeks). Until recently, the use of optical instrumentation from drifting research platforms (7) and from deep ocean moorings (8)(9)(10)(11)(12)(13)(14) has been the only way to acquire long-term, uninterrupted high-frequency (hours or better), and depth-resolved time series measurements for detailed studies of biological and physical relations in the upper ocean on seasonal time scales. These observations provided clear documentation of a strong diurnal cycle in the abundance of particulate matter (7) and established the observational basis of an improved understanding of physical and biological process coupling in surface waters.…”
mentioning
confidence: 99%