FN Archimer Export Format
PT J
TI Consistency and Challenges in the Ocean Carbon Sink Estimate for the Global Carbon Budget
BT 
AF HAUCK, Judith
   ZEISING, Moritz
   LE QUERE, Corinne
   GRUBER, Nicolas
   BAKKER, Dorothee C. E.
   BOPP, Laurent
   CHAU, Thi Tuyet Trang
   GUERSES, Oezguer
   ILYINA, Tatiana
   LANDSCHUETZER, Peter
   LENTON, Andrew
   RESPLANDY, Laure
   ROEDENBECK, Christian
   SCHWINGER, Joerg
   SEFERIAN, Roland
AS 1:1;2:1;3:2,3;4:4;5:2;6:5;7:6;8:1;9:7;10:7;11:8,9,10;12:11;13:12;14:13;15:14;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;
C1 Helmholtz Zentrum Polar & Meeresforsch, Alfred Wegener Inst, Bremerhaven, Germany.
   Univ East Anglia, Sch Environm Sci, Norwich, Norfolk, England.
   Univ East Anglia, Tyndall Ctr Climate Change Res, Norwich, Norfolk, England.
   Swiss Fed Inst Technol, Eidgenoss Tech Hsch Zurich, Inst Biogeochem & Pollutant Dynam, Zurich, Switzerland.
   Univ PSL, Sorbonne Univ, Ecole Normale Super,CNRS, Lab Meteorol Dynam,Inst Pierre Simon Lapl,Ecole N, Paris, France.
   LSCE IPSL, Lab Sci Climat & Environm, Paris, France.
   Max Planck Inst Meteorol, Ocean Earth Syst, Hamburg, Germany.
   Commonwealth Sci & Ind Res Org CSIRO Oceans & Atm, Hobart, Tas, Australia.
   Univ Tasmania, Inst Marine & Antarctic Studies, Australian Antarct Program Partnership, Hobart, Tas, Australia.
   Ctr Southern Hemisphere Oceans Res, Hobart, Tas, Australia.
   Princeton Univ, Princeton Environm Inst, Dept Geosci, Princeton, NJ 08544 USA.
   Max Planck Inst Biogeochem, Biogeochem Signals, Jena, Germany.
   Bjerknes Ctr Climate Res, NORCE Norwegian Res Ctr, Bergen, Norway.
   Univ Toulouse, Meteofrance, CNRM, CNRS, Toulouse, France.
C2 INST A WEGENER, GERMANY
   UNIV E ANGLIA, UK
   UNIV E ANGLIA, UK
   ETH ZURICH, SWITZERLAND
   UNIV PSL, FRANCE
   LSCE IPSL, FRANCE
   MAX PLANCK INST METEOROL, GERMANY
   CSIRO, AUSTRALIA
   UNIV TASMANIA, AUSTRALIA
   CSIRO, AUSTRALIA
   UNIV PRINCETON, USA
   MAX PLANCK INST BIOGEOCHEM, GERMANY
   BCCR, NORWAY
   UNIV TOULOUSE, FRANCE
IN DOAJ
IF 5.247
TC 98
UR https://archimer.ifremer.fr/doc/00676/78822/81139.pdf
   https://archimer.ifremer.fr/doc/00676/78822/81140.pdf
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;ocean carbon uptake;anthropogenic CO2;ocean carbon cycle model evaluation;riverine carbon flux;variability of the ocean carbon sink;seasonal cycle
AB Based on the 2019 assessment of the Global Carbon Project, the ocean took up on average, 2.5 +/- 0.6 PgC yr(-1) or 23 +/- 5% of the total anthropogenic CO2 emissions over the decade 2009-2018. This sink estimate is based on simulation results from global ocean biogeochemicalmodels (GOBMs) and is compared to data-products based on observations of surface ocean pCO(2) (partial pressure of CO2) accounting for the outgassing of river-derived CO2. Here we evaluate the GOBM simulations by comparing the simulated surface ocean pCO(2) to observations. Based on this comparison, the simulations are well-suited for quantifying the global ocean carbon sink on the time-scale of the annual mean and its multi-decadal trend (RMSE <20 mu atm), as well as on the time-scale of multi-year variability (RMSE <10 mu atm), despite the large model-data mismatch on the seasonal time-scale (RMSE of 20-80 mu atm). Biases in GOBMs have a small effect on the global mean ocean sink (0.05 PgC yr(-1)), but need to be addressed to improve the regional budgets and model-data comparison. Accounting for non-mapped areas in the data-products reduces their spread as measured by the standard deviation by a third. There is growing evidence and consistency among methods with regard to the patterns of the multi-year variability of the ocean carbon sink, with a global stagnation in the 1990s and an extra-tropical strengthening in the 2000s. GOBMs and data-products point consistently to a shift from a tropical CO2 source to a CO2 sink in recent years. On average, the GOBMs reveal less variations in the sink than the data-based products. Despite the reasonable simulation of surface ocean pCO(2) by the GOBMs, there are discrepancies between the resulting sink estimate from GOBMs and data-products. These discrepancies are within the uncertainty of the river flux adjustment, increase over time, and largely stem from the Southern Ocean. Progress in our understanding of the global ocean carbon sink necessitates significant advancement in modeling and observing the Southern Ocean carbon sink including (i) a game-changing increase in high-quality pCO(2) observations, and (ii) a critical re-evaluation of the regional river flux adjustment. 
PY 2020
PD OCT
SO Frontiers In Marine Science
SN 2296-7745
PU Frontiers Media Sa
VL 7
UT 000585734500001
DI 10.3389/fmars.2020.571720
ID 78822
ER

EF