Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean

The influence of decreasing Arctic sea ice on net primary production (NPP) in the Arctic Ocean has been considered in multiple publications but is not well constrained owing to the potentially large errors in satellite algorithms. In particular, the Arctic Ocean is rich in coloured dissolved organic...

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Main Authors: Kahru, Mati, Lee, Zhongping, Mitchell, Brian Greg, Nevison, Cynthia D.
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2016
Subjects:
Online Access:https://doi.org/10.5061/dryad.34f4q
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spelling ftzenodo:oai:zenodo.org:4990544 2024-09-15T17:53:20+00:00 Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean Kahru, Mati Lee, Zhongping Mitchell, Brian Greg Nevison, Cynthia D. 2016-09-29 https://doi.org/10.5061/dryad.34f4q unknown Zenodo https://doi.org/10.1098/rsbl.2016.0223 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.34f4q oai:zenodo.org:4990544 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode 1997-2015 Primary production sea ice ocean colour info:eu-repo/semantics/other 2016 ftzenodo https://doi.org/10.5061/dryad.34f4q10.1098/rsbl.2016.0223 2024-07-26T16:44:18Z The influence of decreasing Arctic sea ice on net primary production (NPP) in the Arctic Ocean has been considered in multiple publications but is not well constrained owing to the potentially large errors in satellite algorithms. In particular, the Arctic Ocean is rich in coloured dissolved organic matter (CDOM) that interferes in the detection of chlorophyll a concentration of the standard algorithm, which is the primary input to NPP models. We used the quasi-analytic algorithm (Lee et al. 2002 Appl. Opti. 41, 5755−5772. (doi:10.1364/AO.41.005755)) that separates absorption by phytoplankton from absorption by CDOM and detrital matter. We merged satellite data from multiple satellite sensors and created a 19 year time series (1997–2015) of NPP. During this period, both the estimated annual total and the summer monthly maximum pan-Arctic NPP increased by about 47%. Positive monthly anomalies in NPP are highly correlated with positive anomalies in open water area during the summer months. Following the earlier ice retreat, the start of the high-productivity season has become earlier, e.g. at a mean rate of −3.0 d yr−1 in the northern Barents Sea, and the length of the high-productivity period has increased from 15 days in 1998 to 62 days in 2015. While in some areas, the termination of the productive season has been extended, owing to delayed ice formation, the termination has also become earlier in other areas, likely owing to limited nutrients. NPP_VgpmFromQaa_25_2.0_1997-2012 Series of 5-day NPP for period 1997-2012 in HDF4 files NPP_VgpmFromQaa_25_2.0_2013-2015 Other/Unknown Material Arctic Ocean Barents Sea Phytoplankton Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic 1997-2015
Primary production
sea ice
ocean colour
spellingShingle 1997-2015
Primary production
sea ice
ocean colour
Kahru, Mati
Lee, Zhongping
Mitchell, Brian Greg
Nevison, Cynthia D.
Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
topic_facet 1997-2015
Primary production
sea ice
ocean colour
description The influence of decreasing Arctic sea ice on net primary production (NPP) in the Arctic Ocean has been considered in multiple publications but is not well constrained owing to the potentially large errors in satellite algorithms. In particular, the Arctic Ocean is rich in coloured dissolved organic matter (CDOM) that interferes in the detection of chlorophyll a concentration of the standard algorithm, which is the primary input to NPP models. We used the quasi-analytic algorithm (Lee et al. 2002 Appl. Opti. 41, 5755−5772. (doi:10.1364/AO.41.005755)) that separates absorption by phytoplankton from absorption by CDOM and detrital matter. We merged satellite data from multiple satellite sensors and created a 19 year time series (1997–2015) of NPP. During this period, both the estimated annual total and the summer monthly maximum pan-Arctic NPP increased by about 47%. Positive monthly anomalies in NPP are highly correlated with positive anomalies in open water area during the summer months. Following the earlier ice retreat, the start of the high-productivity season has become earlier, e.g. at a mean rate of −3.0 d yr−1 in the northern Barents Sea, and the length of the high-productivity period has increased from 15 days in 1998 to 62 days in 2015. While in some areas, the termination of the productive season has been extended, owing to delayed ice formation, the termination has also become earlier in other areas, likely owing to limited nutrients. NPP_VgpmFromQaa_25_2.0_1997-2012 Series of 5-day NPP for period 1997-2012 in HDF4 files NPP_VgpmFromQaa_25_2.0_2013-2015
format Other/Unknown Material
author Kahru, Mati
Lee, Zhongping
Mitchell, Brian Greg
Nevison, Cynthia D.
author_facet Kahru, Mati
Lee, Zhongping
Mitchell, Brian Greg
Nevison, Cynthia D.
author_sort Kahru, Mati
title Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
title_short Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
title_full Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
title_fullStr Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
title_full_unstemmed Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
title_sort data from: effects of sea ice cover on satellite-detected primary production in the arctic ocean
publisher Zenodo
publishDate 2016
url https://doi.org/10.5061/dryad.34f4q
genre Arctic Ocean
Barents Sea
Phytoplankton
Sea ice
genre_facet Arctic Ocean
Barents Sea
Phytoplankton
Sea ice
op_relation https://doi.org/10.1098/rsbl.2016.0223
https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.34f4q
oai:zenodo.org:4990544
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.34f4q10.1098/rsbl.2016.0223
_version_ 1810295400717877248