Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020
Quantified research on the Arctic Ocean carbon system is poorly understood, limited by the scarce available data. Measuring the associated phytoplankton responses to air–sea CO 2 fluxes is challenging using traditional satellite passive ocean color measurements due to low solar elevation angles. We...
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ftdoajarticles:oai:doaj.org/article:ef6fe73821594603918a54e07332aa2c 2023-05-15T14:35:05+02:00 Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 Siqi Zhang Peng Chen Zhenhua Zhang Delu Pan 2022-12-01T00:00:00Z https://doi.org/10.3390/rs14246196 https://doaj.org/article/ef6fe73821594603918a54e07332aa2c EN eng MDPI AG https://www.mdpi.com/2072-4292/14/24/6196 https://doaj.org/toc/2072-4292 doi:10.3390/rs14246196 2072-4292 https://doaj.org/article/ef6fe73821594603918a54e07332aa2c Remote Sensing, Vol 14, Iss 6196, p 6196 (2022) diurnal variation air–sea carbon flux CALIPSO LiDAR remote sensing Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14246196 2022-12-30T19:30:26Z Quantified research on the Arctic Ocean carbon system is poorly understood, limited by the scarce available data. Measuring the associated phytoplankton responses to air–sea CO 2 fluxes is challenging using traditional satellite passive ocean color measurements due to low solar elevation angles. We constructed a feedforward neural network light detection and ranging (LiDAR; FNN-LID) method to assess the Arctic diurnal partial pressure of carbon dioxide ( p CO 2 ) and formed a dataset of long-time-series variations in diurnal air–sea CO 2 fluxes from 2001 to 2020; this study represents the first time spaceborne LiDAR data were employed in research on the Arctic air–sea carbon cycle, thus providing enlarged data coverage and diurnal p CO 2 variations. Although some models replace Arctic winter Chl- a with the climatological average or interpolated Chl- a values, applying these statistical Chl- a values results in potential errors in the gap-filled wintertime p CO 2 maps. The CALIPSO measurements obtained through active LiDAR sensing are not limited by solar radiation and can thus provide ‘fill-in’ data in the late autumn to early spring seasons, when ocean color sensors cannot record data; thus, we constructed the first complete record of polar p CO 2 . We obtained Arctic FFN-LID-fitted in situ measurements with an overall mean R 2 of 0.75 and an average RMSE of 24.59 µatm and filled the wintertime observational gaps, thereby indicating that surface water p CO 2 is higher in winter than in summer. The Arctic Ocean net CO 2 sink has seasonal sources from some continental shelves. The growth rate of Arctic seawater p CO 2 is becoming larger and more remarkable in sectors with significant sea ice retreat. The combination of sea surface partial pressure and wind speed impacts the diurnal carbon air–sea flux variability, which results in important differences between the Pacific and Atlantic Arctic Ocean. Our results show that the diurnal carbon sink is larger than the nocturnal carbon sink in the Atlantic Arctic ... Article in Journal/Newspaper Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic Phytoplankton Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Pacific Remote Sensing 14 24 6196 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
diurnal variation air–sea carbon flux CALIPSO LiDAR remote sensing Science Q |
spellingShingle |
diurnal variation air–sea carbon flux CALIPSO LiDAR remote sensing Science Q Siqi Zhang Peng Chen Zhenhua Zhang Delu Pan Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 |
topic_facet |
diurnal variation air–sea carbon flux CALIPSO LiDAR remote sensing Science Q |
description |
Quantified research on the Arctic Ocean carbon system is poorly understood, limited by the scarce available data. Measuring the associated phytoplankton responses to air–sea CO 2 fluxes is challenging using traditional satellite passive ocean color measurements due to low solar elevation angles. We constructed a feedforward neural network light detection and ranging (LiDAR; FNN-LID) method to assess the Arctic diurnal partial pressure of carbon dioxide ( p CO 2 ) and formed a dataset of long-time-series variations in diurnal air–sea CO 2 fluxes from 2001 to 2020; this study represents the first time spaceborne LiDAR data were employed in research on the Arctic air–sea carbon cycle, thus providing enlarged data coverage and diurnal p CO 2 variations. Although some models replace Arctic winter Chl- a with the climatological average or interpolated Chl- a values, applying these statistical Chl- a values results in potential errors in the gap-filled wintertime p CO 2 maps. The CALIPSO measurements obtained through active LiDAR sensing are not limited by solar radiation and can thus provide ‘fill-in’ data in the late autumn to early spring seasons, when ocean color sensors cannot record data; thus, we constructed the first complete record of polar p CO 2 . We obtained Arctic FFN-LID-fitted in situ measurements with an overall mean R 2 of 0.75 and an average RMSE of 24.59 µatm and filled the wintertime observational gaps, thereby indicating that surface water p CO 2 is higher in winter than in summer. The Arctic Ocean net CO 2 sink has seasonal sources from some continental shelves. The growth rate of Arctic seawater p CO 2 is becoming larger and more remarkable in sectors with significant sea ice retreat. The combination of sea surface partial pressure and wind speed impacts the diurnal carbon air–sea flux variability, which results in important differences between the Pacific and Atlantic Arctic Ocean. Our results show that the diurnal carbon sink is larger than the nocturnal carbon sink in the Atlantic Arctic ... |
format |
Article in Journal/Newspaper |
author |
Siqi Zhang Peng Chen Zhenhua Zhang Delu Pan |
author_facet |
Siqi Zhang Peng Chen Zhenhua Zhang Delu Pan |
author_sort |
Siqi Zhang |
title |
Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 |
title_short |
Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 |
title_full |
Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 |
title_fullStr |
Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 |
title_full_unstemmed |
Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020 |
title_sort |
carbon air–sea flux in the arctic ocean from calipso from 2007 to 2020 |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14246196 https://doaj.org/article/ef6fe73821594603918a54e07332aa2c |
geographic |
Arctic Arctic Ocean Pacific |
geographic_facet |
Arctic Arctic Ocean Pacific |
genre |
Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic Phytoplankton Sea ice |
genre_facet |
Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic Phytoplankton Sea ice |
op_source |
Remote Sensing, Vol 14, Iss 6196, p 6196 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/24/6196 https://doaj.org/toc/2072-4292 doi:10.3390/rs14246196 2072-4292 https://doaj.org/article/ef6fe73821594603918a54e07332aa2c |
op_doi |
https://doi.org/10.3390/rs14246196 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
24 |
container_start_page |
6196 |
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1766307981290373120 |