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Detecting Regional Modes of Variability in Observation‐Based Surface Ocean p CO 2
Author(s) -
Landschützer Peter,
Ilyina Tatiana,
Lovenduski Nicole S.
Publication year - 2019
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2018gl081756
Subject(s) - atlantic multidecadal oscillation , sea surface temperature , climatology , pacific decadal oscillation , multivariate enso index , environmental science , north atlantic oscillation , detrended fluctuation analysis , oscillation (cell signaling) , el niño southern oscillation , sea surface height , geology , oceanography , southern oscillation , chemistry , biochemistry , geometry , mathematics , scaling
We use a neural network‐based estimate of the sea surface partial pressure of CO 2 ( p CO 2 ) derived from measurements assembled within the Surface Ocean CO 2 Atlas to investigate the dominant modes of p CO 2 variability from 1982 through 2015. Our analysis shows that detrended and deseasonalized sea surface p CO 2 varies substantially by region and the respective frequencies match those from the major modes of climate variability (Atlantic Multidecadal Oscillation, Pacific Decadal Oscillation, multivariate ENSO index, Southern Annular Mode), suggesting a climate modulated air‐sea exchange of CO 2 . We find that most of the regional p CO 2 variability is driven by changes in the ocean circulation and/or changes in biology, whereas the North Atlantic variability is tightly linked to temperature variations in the surface ocean and the resulting changes in solubility. Despite the 34‐year time series, our analysis reveals that we can currently only detect one to two periods of slow frequency oscillations, challenging our ability to robustly link p CO 2 variations to climate variability.