Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Mouw, Colleen B; Yoder, James A (2010): SeaWiFS (version R2010.0) Monthly Global 9 km Microplankton Fraction, links to NetCDF files [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.860474, Supplement to: Mouw, CB; Yoder, JA (2010): Optical determination of phytoplankton size composition from global SeaWiFS imagery. Journal of Geophysical Research, 115(C12), https://doi.org/10.1029/2010JC006337

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
Phytoplankton cell size is important to biogeochemical and food web processes. The goal of this study is to estimate phytoplankton cell size distribution from satellite imagery of spectral remote sensing reflectance (Rrs(lambda)). Previous studies have indicated phytoplankton size classes have distinctive absorption spectra despite the physiological and taxonomic variability within an assemblage. For this study, the chlorophyll specific absorption spectra for phytoplankton size class extremes, pico- and microphytoplankton, are weighted by the percent microplankton (Sfm) and are the basis of phytoplankton size retrieval from SeaWiFS imagery. Satellite retrievals of Sfm are done through implementation of a forward optical model look-up table (LUT) that incorporates the range of absorption and scattering variability due to phytoplankton size, chlorophyll concentration ([Chl]) and dissolved and detrital matter (acdm(443)) in the global ocean from which Rrs(lambda) is calculated by the radiative transfer software, Hydrolight. The Hydrolight modeled Rrs(lambda) options for a given combination of [Chl] and acdm(443) within the LUT vary only due to Sfm. For a given pixel, the LUT search space was limited by satellite imagery of [Chl] and acdm(443). Within the narrowed search space, SeaWiFS Rrs(lambda) was matched with the closest LUT Rrs(lambda) option and the associated Sfm was assigned. Thresholds at which changes in Rrs(lambda) due to Sfm could be discerned were established in terms of [Chl] and acdm(443). In situ high-precision liquid chromatography–derived estimates of cell size are used in conjunction with matched daily satellite estimates of Sfm for validation and agree well. A single month is displayed as an example of the Sfm retrieval.
Coverage:
Date/Time Start: 1998-01-01T00:00:00 * Date/Time End: 2010-12-31T00:00:00
Comment:
SeaWiFS monthly global 9 km imagery (version R2010.0) of percent microplankton (>20 µm) calculated from the Mouw and Yoder (2010) approach is provided. The method estimates the percentage of microplankton (Sfm) from satellite imagery of remote sensing reflectance (Rrs(lambda)). This is an absorption-based approach where the chlorophyll-specific absorption spectra for phytoplankton size class extremes, pico- (0.2-2 µm) and microplankton (>20 µm), are weighted by Sfm. Sfm is estimated from a look-up-table containing simulated chlorophyll [Chl], absorption due to dissolved and detrital material at 443 nm (acdm(443)), Sfm, and Rrs(lambda) simulated by the radiative transfer software, Hydrolight. For a given pixel, satellite estimated [Chl] and acdm(443) are used to narrow the search space within the look-up-table. Of the remaining options, the closest simulated Rrs(lambda) to the satellite observed Rrs(lambda) is selected and the associated Sfm is assigned. Thresholds at which changes in Rrs(lambda due to Sfm could be discerned were established in terms of [Chl] and acdm(443) and reported as missing data in the provided imagery. In situ high‐precision liquid chromatography-derived estimates of cell size are used in conjunction with matched daily satellite estimates of Sfm for validation and agree well.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeMouw, Colleen BGeocode
2File nameFile nameMouw, Colleen B
3File formatFile formatMouw, Colleen B
4File sizeFile sizekByteMouw, Colleen Bzipped
5Uniform resource locator/link to fileURL fileMouw, Colleen B
Size:
588 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML