FN Archimer Export Format
PT J
TI A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data
BT 
AF JONES, Steve D.
   LE QUERE, Corinne
   ROEDENBECK, Christian
   MANNING, Andrew C.
   OLSEN, Are
AS 1:1;2:1;3:2;4:3;5:4,5;
FF 1:;2:;3:;4:;5:;
C1 Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England.
   Max Planck Inst Biochem, Jena, Germany.
   Univ E Anglia, Sch Environm Sci, Ctr Ocean & Atmospher Sci, Norwich NR4 7TJ, Norfolk, England.
   Univ Bergen, Inst Geophys, Bergen, Norway.
   Bjerknes Ctr Climate Res, Bergen, Norway.
C2 UNIV E ANGLIA, UK
   MAX PLANCK INST, GERMANY
   UNIV E ANGLIA, UK
   UNIV BERGEN, NORWAY
   BCCR, NORWAY
IN DOAJ
IF 6.417
TC 27
UR https://archimer.ifremer.fr/doc/00293/40403/38961.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 142 / OISO-24
   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
DE ;ocean;CO2;interpolation
AB We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid (south of 70°N) for 1985–2011 at monthly resolution. The method combines a spatial interpolation based on a “radius of influence” to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long-term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the interpolation. Tests of the method using model data show that it performs as well as or better than previous regional interpolation methods, but in addition it provides a near-global and interannual coverage.
PY 2015
PD DEC
SO Journal Of Advances In Modeling Earth Systems
SN 1942-2466
PU Amer Geophysical Union
VL 7
IS 4
UT 000368739800004
BP 1554
EP 1575
DI 10.1002/2014MS000416
ID 40403
ER

EF