The potential of using remote sensing data to estimate air&ndash;sea CO<sub>2</sub> exchange in the Baltic Sea

In this article, we present the first climatological map of air&ndash;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...

Full description

Bibliographic Details
Main Authors: G. Parard, A. Rutgersson, S. Raj Parampil, A. A. Charantonis
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&ndash;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&ndash;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&ndash;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&ndash;sea CO<sub>2</sub> exchange in the Baltic Sea
title_short The potential of using remote sensing data to estimate air&ndash;sea CO<sub>2</sub> exchange in the Baltic Sea
title_full The potential of using remote sensing data to estimate air&ndash;sea CO<sub>2</sub> exchange in the Baltic Sea
title_fullStr The potential of using remote sensing data to estimate air&ndash;sea CO<sub>2</sub> exchange in the Baltic Sea
title_full_unstemmed The potential of using remote sensing data to estimate air&ndash;sea CO<sub>2</sub> exchange in the Baltic Sea
title_sort potential of using remote sensing data to estimate air&ndash;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&ndash;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