The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea
In this article, we present the first climatological map of air–sea CO<sub>2</sub> flux over the Baltic Sea based on remote sensing data: estimates of <i>p</i>CO<sub>2</sub> derived from satellite imaging using self-organizing map classifications along...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-12-01
|
Series: | Earth System Dynamics |
Online Access: | https://www.earth-syst-dynam.net/8/1093/2017/esd-8-1093-2017.pdf |
id |
doaj-2c3329bbb5f944f9a7f8bf7684ba6510 |
---|---|
record_format |
Article |
spelling |
doaj-2c3329bbb5f944f9a7f8bf7684ba65102020-11-24T22:41:53ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872017-12-0181093110610.5194/esd-8-1093-2017The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic SeaG. Parard0G. Parard1A. Rutgersson2S. Raj Parampil3A. A. Charantonis4Department of Earth Sciences, Uppsala University, Uppsala, SwedenAGO-GHER-MARE, University of Liège, Allée du Six Aout, 17, Sart Tilman, Liège 4000, BelgiumDepartment of Earth Sciences, Uppsala University, Uppsala, SwedenDepartment of Earth Sciences, Uppsala University, Uppsala, SwedenÉcole nationale supérieure d'informatique pour l'industrie et l'entreprise, Évry, FranceIn this article, we present the first climatological map of air–sea CO<sub>2</sub> flux over the Baltic Sea based on remote sensing data: estimates of <i>p</i>CO<sub>2</sub> derived from satellite imaging using self-organizing map classifications along with class-specific linear regressions (SOMLO methodology) and remotely sensed wind estimates. The estimates have a spatial resolution of 4 km both in latitude and longitude and a monthly temporal resolution from 1998 to 2011. The CO<sub>2</sub> fluxes are estimated using two types of wind products, i.e. reanalysis winds and satellite wind products, the higher-resolution wind product generally leading to higher-amplitude flux estimations. <br><br> Furthermore, the CO<sub>2</sub> fluxes were also estimated using two methods: the method of Wanninkhof et al. (2013) and the method of Rutgersson and Smedman (2009). The seasonal variation in fluxes reflects the seasonal variation in <i>p</i>CO<sub>2</sub> unvaryingly over the whole Baltic Sea, with high winter CO<sub>2</sub> emissions and high <i>p</i>CO<sub>2</sub> uptakes. All basins act as a source for the atmosphere, with a higher degree of emission in the southern regions (mean source of 1.6 mmol m<sup>−2</sup> d<sup>−1</sup> for the South Basin and 0.9 for the Central Basin) than in the northern regions (mean source of 0.1 mmol m<sup>−2</sup> d<sup>−1</sup>) and the coastal areas act as a larger sink (annual uptake of −4.2 mmol m<sup>−2</sup> d<sup>−1</sup>) than does the open sea (−4 mmol m<sup>−2</sup> d<sup>−1</sup>). In its entirety, the Baltic Sea acts as a small source of 1.2 mmol m<sup>−2</sup> d<sup>−1</sup> on average and this annual uptake has increased from 1998 to 2012.https://www.earth-syst-dynam.net/8/1093/2017/esd-8-1093-2017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
G. Parard G. Parard A. Rutgersson S. Raj Parampil A. A. Charantonis |
spellingShingle |
G. Parard G. Parard A. Rutgersson S. Raj Parampil A. A. Charantonis The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea Earth System Dynamics |
author_facet |
G. Parard G. Parard A. Rutgersson S. Raj Parampil A. A. Charantonis |
author_sort |
G. Parard |
title |
The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea |
title_short |
The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea |
title_full |
The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea |
title_fullStr |
The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea |
title_full_unstemmed |
The potential of using remote sensing data to estimate air–sea CO<sub>2</sub> exchange in the Baltic Sea |
title_sort |
potential of using remote sensing data to estimate air–sea co<sub>2</sub> exchange in the baltic sea |
publisher |
Copernicus Publications |
series |
Earth System Dynamics |
issn |
2190-4979 2190-4987 |
publishDate |
2017-12-01 |
description |
In this article, we present the first climatological map of
air–sea CO<sub>2</sub> flux over the Baltic Sea based on remote sensing data: estimates of <i>p</i>CO<sub>2</sub> derived from satellite imaging using self-organizing map classifications along with class-specific linear regressions (SOMLO methodology) and remotely sensed wind estimates. The estimates have a spatial resolution of 4 km both in latitude and longitude and a monthly temporal
resolution from 1998 to 2011. The CO<sub>2</sub> fluxes are estimated using two types of wind products, i.e. reanalysis winds and satellite wind products, the
higher-resolution wind product generally leading to higher-amplitude flux
estimations.
<br><br>
Furthermore, the CO<sub>2</sub> fluxes were also estimated using two methods: the method of Wanninkhof et al. (2013) and the method of Rutgersson and Smedman (2009). The seasonal variation in fluxes reflects the seasonal variation in <i>p</i>CO<sub>2</sub> unvaryingly over the whole Baltic Sea, with high winter CO<sub>2</sub> emissions and high <i>p</i>CO<sub>2</sub> uptakes. All basins act as a source for the atmosphere, with a higher degree of emission in the southern regions (mean source of 1.6 mmol m<sup>−2</sup> d<sup>−1</sup> for the South Basin and 0.9 for the Central Basin) than in the northern regions (mean source of
0.1 mmol m<sup>−2</sup> d<sup>−1</sup>) and the coastal areas act as a larger sink
(annual uptake of −4.2 mmol m<sup>−2</sup> d<sup>−1</sup>) than does the open sea
(−4 mmol m<sup>−2</sup> d<sup>−1</sup>). In its entirety, the Baltic Sea acts as a
small source of 1.2 mmol m<sup>−2</sup> d<sup>−1</sup> on average and this annual
uptake has increased from 1998 to 2012. |
url |
https://www.earth-syst-dynam.net/8/1093/2017/esd-8-1093-2017.pdf |
work_keys_str_mv |
AT gparard thepotentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT gparard thepotentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT arutgersson thepotentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT srajparampil thepotentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT aacharantonis thepotentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT gparard potentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT gparard potentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT arutgersson potentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT srajparampil potentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea AT aacharantonis potentialofusingremotesensingdatatoestimateairndashseacosub2subexchangeinthebalticsea |
_version_ |
1725700329363734528 |