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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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 |
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1997-2015 Primary production sea ice ocean colour |
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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 |