FN Archimer Export Format
PT J
TI Recent Trends and Variability in the Oceanic Storage of Dissolved Inorganic Carbon
BT 
AF Keppler, L.
   Landschützer, P.
   Lauvset, S. K.
   Gruber, N.
AS 1:1,2,3;2:2,4;3:5;4:6;
FF 1:;2:;3:;4:;
C1 Scripps Institution of Oceanography University of California San Diego La Jolla CA ,USA
   Max Planck Institute for Meteorology Hamburg ,Germany
   International Max Planck Research School on Earth System Modelling Hamburg ,Germany
   Flanders Marine Institute (VLIZ) Ostend ,Belgium
   NORCE Norwegian Research Centre Bjerknes Centre for Climate Research Bergen ,Norway
   Environmental Physics Institute of Biogeochemistry and Pollutant Dynamics ETH Zurich Zurich, Switzerland
C2 UNIV CALIF SAN DIEGO, USA
   MAX PLANCK INST METEOROL, GERMANY
   MPRS-ESM, GERMANY
   FLANDERS MARINE INSTITUTE (VLIZ), BELGIUM
   NORCE, NORWAY
   ETH ZURICH, SWITZERLAND
IF 5.2
TC 12
UR https://archimer.ifremer.fr/doc/00842/95440/103239.pdf
   https://archimer.ifremer.fr/doc/00842/95440/103240.docx
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;global carbon cycle;climate change;ocean carbon cycle;ocean biogeochemistry;machine learning;observation-based
AB Several methods have been developed to quantify the oceanic accumulation of anthropogenic carbon dioxide (CO2) in response to rising atmospheric CO2. Yet, we still lack a corresponding estimate of the changes in the total oceanic dissolved inorganic carbon (DIC). In addition to the increase in anthropogenic CO2, changes in DIC also include alterations of natural CO2. Once integrated globally, changes in DIC reflect the net oceanic sink for atmospheric CO2, complementary to estimates of the air-sea CO2 exchange based on surface measurements. Here, we extend the MOBO-DIC machine learning approach by Keppler et al. (2020a, https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc%3A0221526) to estimate global monthly fields of DIC at 1° resolution over the top 1,500 m from 2004 through 2019. We find that over these 16 years and extrapolated to cover the whole global ocean down to 4,000 m, the oceanic DIC pool increased close to linearly at an average rate of 3.2 ± 0.7 Pg C yr−1. This trend is statistically indistinguishable from current estimates of the oceanic uptake of anthropogenic CO2 over the same period. Thus, our study implies no detectable net loss or gain of natural CO2 by the ocean, albeit the large uncertainties could be masking it. Our reconstructions suggest substantial internal redistributions of natural oceanic CO2, with a shift from the midlatitudes to the tropics and from the surface to below ∼200 m. Such redistributions correspond with the Pacific Decadal Oscillation and the Atlantic Multidecadal Oscillation. The interannual variability of DIC is strongest in the tropical Western Pacific, consistent with the El Nio Southern Oscillation. Key Points From 2004 through 2019, the global oceanic dissolved inorganic carbon (DIC) pool increased at an average rate of 3.2 ± 0.7 Pg C yr−1 Most of this increase is associated with the uptake of anthropogenic CO2, while natural CO2 is mostly redistributed within the ocean The interannual variability of DIC is largest in the tropical Pacific Ocean Plain Language Summary Human activities, such as the burning of fossil fuels, increase the amount of the greenhouse gas carbon dioxide (CO2) in the atmosphere. A large portion of this additional CO2 is being taken up by the ocean. Several methods have been developed to quantify how much of this anthropogenic CO2 is taken up by the ocean. However, in addition to the anthropogenic CO2, there can also be changes in the naturally occurring CO2 in the ocean. Both the anthropogenic and the natural changes would be reflected in changes of the total dissolved inorganic carbon (DIC) stored in the ocean. Here, we extend a machine learning approach to estimate global monthly fields of DIC from 2004 through 2019. We find that over these 16 years, the oceanic DIC pool in the upper 4,000 m increased at an average rate of 3.2 ± 0.7 Pg C/yr. This trend is statistically indistinguishable from current estimates of the oceanic uptake of anthropogenic CO2 over the same period. Thus, our study implies no detectable net loss or gain of natural CO2 by the ocean, albeit the large uncertainties could be masking it. Our reconstructions suggest substantial internal redistributions of natural oceanic CO2. 
PY 2023
PD MAY
SO Global Biogeochemical Cycles
SN 0886-6236
PU American Geophysical Union (AGU)
VL 37
IS 5
UT 001000097900001
DI 10.1029/2022GB007677
ID 95440
ER

EF