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Using satellite data to estimate partial pressure of CO2in the Baltic Sea
- Source :
- Journal of Geophysical Research: Biogeosciences. 121:1002-1015
- Publication Year :
- 2016
- Publisher :
- American Geophysical Union (AGU), 2016.
-
Abstract
- In this study we focused on estimating the pressure partial of CO2 (pCO(2)) in the entire Baltic Sea which can be considered a coastal area in its entirety. We used the self-organizing multiple linear output (SOMLO) method to estimate the ocean surface pCO(2) in the Baltic Sea from the remotely sensed sea surface temperature, chlorophyll a, colored dissolved organic matter, net primary production, and mixed-layer depth. Uncertainties in the estimates include sparsity of in situ data used to train the algorithms, in particular, for some sectors and seasons. For this application we divided the Baltic Sea in four basins. When comparing the results obtained with this division to those obtained in previous studies, we notice a decrease in the root-mean-square error ( 0.96) between them. The outputs of this research have a horizontal resolution of 4km and cover the 1998-2011 period. For the first time, a climatological mean distribution of surface water pCO(2) over the Baltic Sea was calculated based on the SOMLO method with a mean pCO(2) of 368.3100atm, and a range of 234-514atm. The seasonal variability is similar throughout the Baltic Sea, being high in winter and low in summer.
- Subjects :
- 0106 biological sciences
Atmospheric Science
Chlorophyll a
010504 meteorology & atmospheric sciences
Soil Science
Aquatic Science
01 natural sciences
chemistry.chemical_compound
Range (statistics)
14. Life underwater
0105 earth and related environmental sciences
Water Science and Technology
Ecology
010604 marine biology & hydrobiology
Paleontology
Primary production
Forestry
Partial pressure
Sea surface temperature
Colored dissolved organic matter
chemistry
Baltic sea
13. Climate action
Climatology
Environmental science
Surface water
Subjects
Details
- ISSN :
- 21698953 and 19982011
- Volume :
- 121
- Database :
- OpenAIRE
- Journal :
- Journal of Geophysical Research: Biogeosciences
- Accession number :
- edsair.doi...........e460955e23b0ffcfa48028ee7f79a3be
- Full Text :
- https://doi.org/10.1002/2015jg003064