Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing

El Niño—Southern Oscillation (ENSO) is regarded as the main driver of phytoplankton inter-annual variability. Remotely sensed surface chlorophyll-a (Chl-a), has made it possible to examine phytoplankton variability at a resolution and scale that allows for the investigation of climate signals such a...

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Main Authors: Angela M. Maharaj, André B. Couto, Neil J. Holbrook
Format: Article
Language:English
Published: MDPI AG 2013-08-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/5/8/4067
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spelling doaj-445806dc07c2439eb3d15ecb6a2aab612020-11-25T02:24:44ZengMDPI AGRemote Sensing2072-42922013-08-01584067408710.3390/rs5084067Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote SensingAngela M. MaharajAndré B. CoutoNeil J. HolbrookEl Niño—Southern Oscillation (ENSO) is regarded as the main driver of phytoplankton inter-annual variability. Remotely sensed surface chlorophyll-a (Chl-a), has made it possible to examine phytoplankton variability at a resolution and scale that allows for the investigation of climate signals such as ENSO. We provide empirical evidence of an immediate and lagged influence of ENSO on SeaWiFS and MODIS-Aqua derived global Chl-a concentrations. We use 13 years of Chl-a remotely sensed observations along with sea surface temperature (SST) observations across the Tropical and South Pacific to isolate and examine the spatial development of Chl-a anomalies during ENSO: its canonical or eastern Pacific (EP) mode, and El Niño Modoki or central Pacific (CP) mode, using the extended empirical orthogonal function (EEOF) technique. We describe how an EP ENSO phase transition affects Chl-a, and identify an interannual CP mode of variability induced spatial pattern. We argue that when ENSO is analysed as a propagating signal by the EEOF, CP ENSO is found to be more influential on Chl-a interannual to decadal variability than the canonical EP ENSO. Our results cannot confirm the independence of the two ENSO modes but clearly demonstrate that both ENSO flavors manifest a distinct biological response.http://www.mdpi.com/2072-4292/5/8/4067Chl-aphytoplanktonENSOCP ENSOEP ENSOModokiEl NiñoLa Niñaprimary productivitySeaWiFSMODIS
collection DOAJ
language English
format Article
sources DOAJ
author Angela M. Maharaj
André B. Couto
Neil J. Holbrook
spellingShingle Angela M. Maharaj
André B. Couto
Neil J. Holbrook
Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
Remote Sensing
Chl-a
phytoplankton
ENSO
CP ENSO
EP ENSO
Modoki
El Niño
La Niña
primary productivity
SeaWiFS
MODIS
author_facet Angela M. Maharaj
André B. Couto
Neil J. Holbrook
author_sort Angela M. Maharaj
title Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
title_short Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
title_full Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
title_fullStr Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
title_full_unstemmed Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
title_sort unravelling eastern pacific and central pacific enso contributions in south pacific chlorophyll-a variability through remote sensing
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2013-08-01
description El Niño—Southern Oscillation (ENSO) is regarded as the main driver of phytoplankton inter-annual variability. Remotely sensed surface chlorophyll-a (Chl-a), has made it possible to examine phytoplankton variability at a resolution and scale that allows for the investigation of climate signals such as ENSO. We provide empirical evidence of an immediate and lagged influence of ENSO on SeaWiFS and MODIS-Aqua derived global Chl-a concentrations. We use 13 years of Chl-a remotely sensed observations along with sea surface temperature (SST) observations across the Tropical and South Pacific to isolate and examine the spatial development of Chl-a anomalies during ENSO: its canonical or eastern Pacific (EP) mode, and El Niño Modoki or central Pacific (CP) mode, using the extended empirical orthogonal function (EEOF) technique. We describe how an EP ENSO phase transition affects Chl-a, and identify an interannual CP mode of variability induced spatial pattern. We argue that when ENSO is analysed as a propagating signal by the EEOF, CP ENSO is found to be more influential on Chl-a interannual to decadal variability than the canonical EP ENSO. Our results cannot confirm the independence of the two ENSO modes but clearly demonstrate that both ENSO flavors manifest a distinct biological response.
topic Chl-a
phytoplankton
ENSO
CP ENSO
EP ENSO
Modoki
El Niño
La Niña
primary productivity
SeaWiFS
MODIS
url http://www.mdpi.com/2072-4292/5/8/4067
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AT neiljholbrook unravellingeasternpacificandcentralpacificensocontributionsinsouthpacificchlorophyllavariabilitythroughremotesensing
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