FN Archimer Export Format
PT J
TI A model study of the seasonal and long-term North Atlantic surface pCO(2) variability
BT 
AF TJIPUTRA, J. F.
   OLSEN, A.
   ASSMANN, K.
   PFEIL, Benjamin
   HEINZE, C.
AS 1:1,6;2:2,5,6;3:3;4:1,4,6;5:1,5,6;
FF 1:;2:;3:;4:;5:;
C1 Univ Bergen, Inst Geophys, Bergen, Norway.
   Inst Marine Res, N-5024 Bergen, Norway.
   British Antarctic Survey, Cambridge CB3 0ET, England.
   World Data Ctr Marine Environm Sci, Bremen, Germany.
   Uni Res, Uni Bjerknes Ctr, Bergen, Norway.
   Bjerknes Ctr Climate Res, Bergen, Norway.
C2 UNIV BERGEN, NORWAY
   IMR, NORWAY
   BRITISH ANTARCTIC SURVEY, UK
   WDC MARE, GERMANY
   UNI RES BERGEN, NORWAY
   BCCR, NORWAY
SI AUTRE
SE AUTRE
IN DOAJ
IF 3.75
TC 21
UR https://archimer.ifremer.fr/doc/00266/37702/36703.pdf
   https://archimer.ifremer.fr/doc/00266/37702/36704.pdf
LA English
DT Article
CR OISO 8
   OISO1
   OISO2
   OISO3-NIVMER98
   OISO4 (VT 46)
   OISO5 (VT 49)
   VT 105 / OISO 17
   VT 108 / OISO-18
   VT 114 / OISO-19
   VT 51 / OISO 6
   VT 57 / OISO 9
   VT 60 / CARAUS - OISO 10
   VT 62 / CARAUS - OISO 11
   VT 79 / OISO 12
   VT 80 / OISO 13
   VT 81 / OISO 14
   VT 85 / OISO 15
   VT 94 / OISO 16
BO Marion Dufresne
AB A coupled biogeochemical-physical ocean model is used to study the seasonal and long-term variations of surface pCO(2) in the North Atlantic Ocean. The model agrees well with recent underway pCO(2) observations from the Surface Ocean CO2 Atlas (SOCAT) in various locations in the North Atlantic. Some of the distinct seasonal cycles observed in different parts of the North Atlantic are well reproduced by the model. In most regions except the subpolar domain, recent observed trends in pCO(2) and air-sea carbon fluxes are also simulated by the model. Over the longer period between 1960-2008, the primary mode of surface pCO(2) variability is dominated by the increasing trend associated with the invasion of anthropogenic CO2 into the ocean. We show that the spatial variability of this dominant increasing trend, to first order, can be explained by the surface ocean circulation and air-sea heat flux patterns. Regions with large surface mass transport and negative air-sea heat flux have the tendency to maintain lower surface pCO(2). Regions of surface convergence and mean positive air-sea heat flux such as the subtropical gyre and the western subpolar gyre have a higher long-term surface pCO(2) mean. The North Atlantic Oscillation (NAO) plays a major role in controlling the variability occurring at interannual to decadal time scales. The NAO predominantly influences surface pCO(2) in the North Atlantic by changing the physical properties of the North Atlantic water masses, particularly by perturbing the temperature and dissolved inorganic carbon in the surface ocean. We show that present underway sea surface pCO(2) observations are valuable for both calibrating the model, as well as for improving our understanding of the regionally heterogeneous variability of surface pCO(2). In addition, they can be important for detecting any long term change in the regional carbon cycle due to ongoing climate change.
PY 2012
SO Biogeosciences
SN 1726-4170
PU Copernicus Gesellschaft Mbh
VL 9
IS 3
UT 000302179500003
BP 907
EP 923
DI 10.5194/bg-9-907-2012
ID 37702
ER

EF