The Role of Phytoplankton Biomacromolecules in Controlling Ocean Surface Roughness

Jayasinghe, Amadini; Elliott, Scott; Gibson, Georgina A.; Vandemark, Douglas

doi:10.3390/atmos13122101

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

The Role of Phytoplankton Biomacromolecules in Controlling Ocean Surface Roughness

2022
By Jayasinghe, Amadini ; Elliott, Scott ; Gibson, Georgina A. ; ...
Source: Atmosphere, 13(12), 2101

[PDF-3.38 MB]

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Journal Title:

Atmosphere
Personal Author:

Jayasinghe, Amadini ; Elliott, Scott ; Gibson, Georgina A. ; Vandemark, Douglas

Jayasinghe, Amadini ; Elliott, Scott ; Gibson, Georgina A. ; Vandemark, Douglas Less -
NOAA Program & Office:

NOS (National Ocean Service) ; NESDIS (National Environmental Satellite, Data, and Information Service)

NOS (National Ocean Service) ; NESDIS (National Environmental Satellite, Data, and Information Service) Less -
Description:

Satellite altimetric data routinely map sea surface topography by measuring the ocean return signal. One source of altimeter measurement contamination occurs when the radar ocean backscatter becomes unusually large, a situation termed a Sigma-0 bloom. Past research suggests Sigma-0 blooms are associated with weak wind and natural surface slick conditions where capillary waves at the air–sea interface are suppressed. To date, no explicit connection between these conditions and Sigma-0 bloom presence has been provided. Using a series of simplified equations, our reduced model determines capillary wave heights from estimates of planktonic carbon concentrations and regional wind speed. Our results suggest that the radar signal reflection increases as capillary wave height decreases. This relationship depends on surfactant concentration, surfactant composition, and wind speed. Model sensitivity analysis indicates that the interface reflectivity depends on biological activity and wind speed. Our proposed simplified model provides a method to identify potential Sigma-0 bloom regions. We conclude that because of the demonstrated impact of biological surfactants on ocean roughness, it is necessary to consider the biological activity, i.e., phytoplankton bloom events, when interpreting signals from radar altimetry and when developing ocean hydrology models.
Source:

Atmosphere, 13(12), 2101
DOI:

https://doi.org/10.3390/atmos13122101
ISSN:

2073-4433
Format:

PDF
Publisher:

MDPI AG
Document Type:

Journal Article
Funding:

Grant no. NA16NOS0120020 ; Grant no. NA19NES4320002

Grant no. NA16NOS0120020 ; Grant no. NA19NES4320002 Less -
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha-512:b0ac4a617ffb551f779403332fa4ff6cd45ca831b0260c51a7208799601588206b31230104104f9851d62deab2cc6556590cca53c519f814ac4b501fda8579cf
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The Role of Phytoplankton Biomacromolecules in Controlling Ocean Surface Roughness

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