FN Archimer Export Format
PT J
TI Impacts of physical data assimilation on the Global Ocean Carbonate System
BT 
AF Visinelli, L.
   Masina, S.
   Vichi, M.
   Storto, A.
AS 1:1;2:1,2;3:1,2;4:1;
FF 1:;2:;3:;4:;
C1 CMCC Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy
   INGV Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
C2 CMCC, ITALY
   INGV, ITALY
IN DOAJ
TC 0
UR https://archimer.ifremer.fr/doc/00293/40411/38914.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 117 / OISO-20
   VT 120 / OISO-21
   VT 127 / OISO-22
   VT 136 / OISO-23
   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 Prognostic simulations of ocean carbon distribution are largely dependent on an adequate representation of physical dynamics. In this work we show that the assimilation of temperature and salinity in a coupled ocean-biogeochemical model significantly improves the reconstruction of the carbonate system variables over the last two decades. For this purpose, we use the NEMO ocean global circulation model, coupled to the Biogeochemical Flux Model (BFM) in the global PELAGOS configuration. The assimilation of temperature and salinity is included into the coupled ocean-biogeochemical model by using a variational assimilation method. The use of ocean physics data assimilation improves the simulation of alkalinity and dissolved organic carbon against the control run as assessed by comparing with independent time series and gridded datasets. At the global scale, the effects of the assimilation of physical variables in the simulation of pCO2 improves the seasonal cycle in all basins, getting closer to the SOCAT estimates. Biases in the partial pressure of CO2 with respect to data that are evident in the control run are reduced once the physical data assimilation is used. The root mean squared errors in the pCO2 are reduced by up to 30% depending on the ocean basin considered. In addition, we quantify the relative contribution of biological carbon uptake on surface pCO2 by performing another simulation in which biology is neglected in the assimilated run.
PY 2014
PD APR
SO Biogeosciences Discussions
SN 1810-6277
PU Copernicus GmbH
VL 11
IS 4
BP 5399
EP 5441
DI 10.5194/bgd-11-5399-2014
ID 40411
ER

EF