Northern Benguela shelf and open ocean seasonal mean nanophytoplankton proportion time series, 1997 to 2018 ...

• Main Authors: Tarron Lamont, R.G. Barlow, R.J.W. Brewin
• Format: Dataset
• Language: English
• Published: Department of Forestry, Fisheries and the Environment 2019
• Subjects: historicalArchive; license; oceans; Bio-optical Investigation of Phytoplankton; SOUTH ATLANTIC OCEAN; remote sensing; bio-optics; phytoplankton biomass; BCLME; ASCLME; Benguela Current Large Marine Ecosystem; Agulhas and Somali Current Large Marine Ecosystems; nanophytoplankton; Northern Benguela; WGS 84; textTable; South Atlantic Ocean
• Online Access: https://dx.doi.org/10.15493/dea.mims.10000005; https://api.odp.saeon.ac.za/catalog/MIMS/go/10.15493/DEA.MIMS.10000005

Reconstructed seasonal mean nanophytoplankton proportion for SeaWiFS and MODIS-Aqua in the Northern Benguela (15-29°S;8-16.8°E) shelf and open ocean regions during austral summer, autumn, winter, and spring. Shelf and open ocean regions have been separated using the GEBCO 1000m isobath. ... : A phytoplankton size-class model (Lamont et al. 2018, RSE 204, 617-631) was applied to standard monthly-averaged SeaWiFS and MODIS-Aqua Chlorophyll a concentrations, with a spatial resolution of 9km, to compute fractional contributions of nanophytoplankton to the total chlorophyll a in Northern Benguela shelf and open ocean regions. The shelf and open ocean regions were separated using the 1000m GEBCO isobath. Seasonal means were computed by averaging data over a three-month period for each season, defined as austral summer (December, January, February), autumn (March, April, May), winter (June, July, August), and spring (September, October, November). Using the MODIS-Aqua data as the reference dataset, the SeaWiFS values were reconstructed (predicted) within the framework of a Generalized Linear Model, in order to remove the systematic bias between SeaWiFS and MODIS-Aqua values. This data has been processed and published as Lamont et al. (2019) JGR Oceans, 124, 1170-1195 ...