Paper
6 February 1997 Bio-optical drifters: scales of variability of chlorophyll and fluorescence
Mark R. Abbott, Ricardo M. Letelier
Author Affiliations +
Proceedings Volume 2963, Ocean Optics XIII; (1997) https://doi.org/10.1117/12.266445
Event: Ocean Optics XIII, 1996, Halifax, Nova Scotia, Canada
Abstract
Both the California Current System and the Antarctic Polar Front are characterized by mesoscale variability and meandering jets. These meanders lead to regions of strong vertical motion, on the order of several tens of meters per day. To study physical and biological scales of variability in these two systems, near-surface drifters were released in these two environments; twenty-six in the California Current and five in the Polar Front. Each drifter was equipped with a spectroradiometer to measure upwelled radiance at the SeaWiFS wavelengths as well as at 683 nm. A temperature system was also included. Data were relayed to shore via satellite. These data were converted into biological quantities, including chlorophyll and an apparent quantum yield of fluorescence. Decorrelation time scales were calculated and compared with corresponding statistics of the physical environment. Time scales for all variables increased as the drifters moved from nearshore to offshore. The scales associated with temperature and chlorophyll were similar nearshore, but increased more rapidly offshore for temperature. This suggests that the processes regulating the distribution of temperature and chlorophyll are similar in the nearshore region and significantly differ offshore.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark R. Abbott and Ricardo M. Letelier "Bio-optical drifters: scales of variability of chlorophyll and fluorescence", Proc. SPIE 2963, Ocean Optics XIII, (6 February 1997); https://doi.org/10.1117/12.266445
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Cited by 6 scholarly publications.
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KEYWORDS
Luminescence

Satellites

Sensors

Biological research

Quantum efficiency

Statistical analysis

Earth observing sensors

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