FN Archimer Export Format
PT J
TI Global surface-ocean pCO2 and sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme
BT 
AF ROEDENBECK, C.
   KEELING, R. F.
   BAKKER, D. C. E.
   METZ, N.
   OLSEN, A.
   SABINE, C.
   HEIMANN, M.
AS 1:1;2:2;3:3;4:4;5:5,6,7;6:8;7:1;
FF 1:;2:;3:;4:;5:;6:;7:;
C1 Max Planck Inst Biogeochem, D-07745 Jena, Germany.
   Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA.
   Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
   CNRS, LOCEAN IPSL, Paris, France.
   Inst Marine Res, N-5024 Bergen, Norway.
   Uni Bjerknes Ctr, Bergen, Norway.
   Bjerknes Ctr Climate Res, Bergen, Norway.
   NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USA.
C2 MAX PLANCK INST, GERMANY
   UNIV CALIF SAN DIEGO, USA
   UNIV E ANGLIA, UK
   IPSL, FRANCE
   INST MARINE RES BERGEN, NORWAY
   BCCR, NORWAY
   BCCR, NORWAY
   NOAA, USA
IN DOAJ
IF 1.962
TC 120
UR https://archimer.ifremer.fr/doc/00253/36403/34950.pdf
   https://archimer.ifremer.fr/doc/00253/36403/34951.pdf
   https://archimer.ifremer.fr/doc/00253/36403/93138.pdf
   https://archimer.ifremer.fr/doc/00253/36403/93139.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 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 temporally and spatially resolved estimate of the global surface-ocean CO2 partial pressure field and the sea–air CO2 flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-ocean CO2 partial pressure data from the SOCAT v1.5 database. Results include seasonal, interannual, and short-term (daily) variations. In most regions, estimated seasonality is well constrained from the data, and compares well to the widely used monthly climatology by Takahashi et al. (2009). Comparison to independent data tentatively supports the slightly higher seasonal variations in our estimates in some areas. We also fitted the diagnostic model to atmospheric CO2 data. The results of this are less robust, but in those areas where atmospheric signals are not strongly influenced by land flux variability, their seasonality is nevertheless consistent with the results based on surface-ocean data. From a comparison with an independent seasonal climatology of surface-ocean nutrient concentration, the diagnostic model is shown to capture relevant surface-ocean biogeochemical processes reasonably well. Estimated interannual variations will be presented and discussed in a companion paper.
PY 2013
SO Ocean Science
SN 1812-0784
PU Copernicus Gesellschaft Mbh
VL 9
IS 2
UT 000320348700001
BP 193
EP 216
DI 10.5194/os-9-193-2013
ID 36403
ER

EF