Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends

A 16-year (1998-2013) analysis of trends and seasonal patterns was conducted for the 5 subtropical ocean gyres using chlorophyll-a (Chl-a) retrievals from ocean color satellite data, sea surface temperature (SST) obtained from optimally interpolated Advanced Very High Resolution Radiometer (AVHRR) d...

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Main Authors: McClain, Charles R., Signorini, Sergio R., Franz, Bryan A.
Format: Other/Unknown Material
Language:unknown
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/2060/20150011458
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20150011458 2023-05-15T17:37:09+02:00 Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends McClain, Charles R. Signorini, Sergio R. Franz, Bryan A. Unclassified, Unlimited, Publicly available February 2, 2015 application/pdf http://hdl.handle.net/2060/20150011458 unknown Document ID: 20150011458 http://hdl.handle.net/2060/20150011458 Copyright, Public use permitted CASI Oceanography GSFC-E-DAA-TN20233 Frontiers in Marine Science (e-ISSN 2296-7745); 2; 1 2015 ftnasantrs 2019-07-21T08:05:28Z A 16-year (1998-2013) analysis of trends and seasonal patterns was conducted for the 5 subtropical ocean gyres using chlorophyll-a (Chl-a) retrievals from ocean color satellite data, sea surface temperature (SST) obtained from optimally interpolated Advanced Very High Resolution Radiometer (AVHRR) data, and sea-level anomaly (SLA) from Aviso multi-sensor altimetry data. Trend analysis was also performed on mixed-layer data derived from gridded temperature and salinity profiles (1998-2010) from the Simple Ocean Data Assimilation (SODA) model. The Chl-a monthly composites were constructed from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate-resolution Imaging Spectroradiometer (MODIS) on Aqua using two different algorithms: the standard algorithm (STD) that has been in use since the start of the SeaWiFS mission in 1997, and a more recently developed Ocean Color Index (OCI) algorithm that is purported to provide improved accuracy in low chlorophyll waters such as the oligotrophic regions of the subtropical gyres. Trends were obtained for all gyres using both STD and OCI algorithms, which demonstrated generally consistent results. The North Pacific, Indian Ocean, North Atlantic and South Atlantic gyres showed significant downward trends in Chl-a, while the South Pacific gyre has a much weaker upward trend with no statistical significance. Time series of satellite-derived net primary production (NPP) showed downward trends for all the gyres, while all 5 gyres exhibited positive trends in SST and SLA. The seasonal variability of Chl-a in each gyre is tightly coupled to the variability in mixed layer depth (MLD) with peak values in winter in both hemispheres when vertical mixing is more vigorous, reaching depths approaching the nutricline (ZNO3, here defined as the depth of the 0.2 micron nitrate concentration). On a seasonal basis, Chl-a concentrations increase when the MLD approaches or is deeper than the nutricline depth, in agreement with the concept that vertical mixing is the major driving mechanism for phytoplankton photosynthesis in the interior of the gyres. In addition, MLD and SST seasonal changes are well correlated indicating that SST is a reasonable index of vertical mixing in the gyres. The combination of surface warming trends and biomass reduction over the 16-year period has the potential to reduce atmospheric CO2 uptake by the gyres and therefore influence the global carbon cycle. Other/Unknown Material North Atlantic NASA Technical Reports Server (NTRS) Indian Pacific
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Oceanography
spellingShingle Oceanography
McClain, Charles R.
Signorini, Sergio R.
Franz, Bryan A.
Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
topic_facet Oceanography
description A 16-year (1998-2013) analysis of trends and seasonal patterns was conducted for the 5 subtropical ocean gyres using chlorophyll-a (Chl-a) retrievals from ocean color satellite data, sea surface temperature (SST) obtained from optimally interpolated Advanced Very High Resolution Radiometer (AVHRR) data, and sea-level anomaly (SLA) from Aviso multi-sensor altimetry data. Trend analysis was also performed on mixed-layer data derived from gridded temperature and salinity profiles (1998-2010) from the Simple Ocean Data Assimilation (SODA) model. The Chl-a monthly composites were constructed from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate-resolution Imaging Spectroradiometer (MODIS) on Aqua using two different algorithms: the standard algorithm (STD) that has been in use since the start of the SeaWiFS mission in 1997, and a more recently developed Ocean Color Index (OCI) algorithm that is purported to provide improved accuracy in low chlorophyll waters such as the oligotrophic regions of the subtropical gyres. Trends were obtained for all gyres using both STD and OCI algorithms, which demonstrated generally consistent results. The North Pacific, Indian Ocean, North Atlantic and South Atlantic gyres showed significant downward trends in Chl-a, while the South Pacific gyre has a much weaker upward trend with no statistical significance. Time series of satellite-derived net primary production (NPP) showed downward trends for all the gyres, while all 5 gyres exhibited positive trends in SST and SLA. The seasonal variability of Chl-a in each gyre is tightly coupled to the variability in mixed layer depth (MLD) with peak values in winter in both hemispheres when vertical mixing is more vigorous, reaching depths approaching the nutricline (ZNO3, here defined as the depth of the 0.2 micron nitrate concentration). On a seasonal basis, Chl-a concentrations increase when the MLD approaches or is deeper than the nutricline depth, in agreement with the concept that vertical mixing is the major driving mechanism for phytoplankton photosynthesis in the interior of the gyres. In addition, MLD and SST seasonal changes are well correlated indicating that SST is a reasonable index of vertical mixing in the gyres. The combination of surface warming trends and biomass reduction over the 16-year period has the potential to reduce atmospheric CO2 uptake by the gyres and therefore influence the global carbon cycle.
format Other/Unknown Material
author McClain, Charles R.
Signorini, Sergio R.
Franz, Bryan A.
author_facet McClain, Charles R.
Signorini, Sergio R.
Franz, Bryan A.
author_sort McClain, Charles R.
title Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
title_short Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
title_full Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
title_fullStr Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
title_full_unstemmed Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
title_sort chlorophyll variability in the oligotrophic gyres: mechanisms, seasonality and trends
publishDate 2015
url http://hdl.handle.net/2060/20150011458
op_coverage Unclassified, Unlimited, Publicly available
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
genre_facet North Atlantic
op_source CASI
op_relation Document ID: 20150011458
http://hdl.handle.net/2060/20150011458
op_rights Copyright, Public use permitted
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