FN Archimer Export Format
PT J
TI SeaFlux: harmonization of air-sea CO2 fluxes from surface pCO(2) data products using a standardized approach
BT 
AF FAY, Amanda R.
   GREGOR, Luke
   LANDSCHUTZER, Peter
   MCKINLEY, Galen A.
   GRUBER, Nicolas
   GEHLEN, Marion
   IIDA, Yosuke
   LARUELLE, Goulven G.
   ROEDENBECK, Christian
   ROOBAERT, Alizee
   ZENG, Jiye
AS 1:1,2;2:3;3:4;4:1,2;5:3;6:5;7:6;8:7;9:8;10:7;11:9;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;
C1 Columbia Univ, Dept Earth & Environm Sci, Palisades, NY 10964, USA.
   Lamont Doherty Earth Observ, Palisades, NY 10964 ,USA.
   Swiss Fed Inst Technol, Inst Biogeochem & Pollutant Dynam, Zurich, Switzerland.
   Max Planck Ihttps://w3.ifremer.fr/archimer-admin/author.jsp#nst Meteorol, Ocean Earth Syst, D-20146 Hamburg, Germany.
   Inst Pierre Simon Laplace, Lab Sci Climat & Environm, Gif Sur Yvette, France.
   Japan Meteorol Agcy, Atmosphere & Ocean Dept, Chiyoda Ku, 1-3-4 Otemachi, Tokyo 1008122, Japan.
   Univ Libre Bruxelles, Dept Geosci Environm & Soc BGEOSYS, CP160-02, Brussels, Belgium.
   Max Planck Inst Biogeochem, Biogeochem Signals, POB 600164,Hans Knoll Str 10, D-07745 Jena, Germany.
   Natl Inst Environm Studies NIES, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
C2 UNIV COLUMBIA, USA
   LDEO, USA
   ETH ZURICH, SWITZERLAND
   MAX PLANCK INST METEOROL, GERMANY
   IPSL, FRANCE
   JAPAN METEOROL AGCY, JAPAN
   UNIV LIBRE BRUXELLES, BELGIUM
   MAX PLANCK INST BIOGEOCHEM, GERMANY
   NIES, JAPAN
IN DOAJ
IF 11.815
TC 53
UR https://archimer.ifremer.fr/doc/00755/86721/92188.pdf
   https://archimer.ifremer.fr/doc/00755/86721/92189.pdf
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
AB Air-sea flux of carbon dioxide (CO2) is a critical component of the global carbon cycle and the climate system with the ocean removing about a quarter of the CO2 emitted into the atmosphere by human activities over the last decade. A common approach to estimate this net flux of CO2 across the air-sea interface is the use of surface ocean CO2 observations and the computation of the flux through a bulk parameterization approach. Yet, the details for how this is done in order to arrive at a global ocean CO2 uptake estimate vary greatly, enhancing the spread of estimates. Here we introduce the ensemble data product, SeaFlux (Gregor and Fay, 2021, https://doi.org/10.5281/zenodo.5482547, https://github.com/luke-gregor/pySeaFlux, last access: 9 September 2021); this resource enables users to harmonize an ensemble of products that interpolate surface ocean CO2 observations to near-global coverage with a common methodology to fill in missing areas in the products. Further, the dataset provides the inputs to calculate fluxes in a consistent manner. Utilizing six global observation-based mapping products (CMEMS-FFNN, CSIR-ML6, JENA-MLS, JMA-MLR, MPI-SOMFFN, NIES-FNN), the SeaFlux ensemble approach adjusts for methodological inconsistencies in flux calculations. We address differences in spatial coverage of the surface ocean CO2 between the mapping products, which ultimately yields an increase in CO2 uptake of up to 17% for some products. Fluxes are calculated using three wind products (CCMPv2, ERA5, and JRA55). Application of a scaled gas exchange coefficient has a greater impact on the resulting flux than solely the choice of wind product. With these adjustments, we present an ensemble of global surface ocean pCO(2) and air-sea carbon flux estimates. This work aims to support the community effort to perform model-data intercomparisons which will help to identify missing fluxes as we strive to close the global carbon budget.
PY 2021
PD OCT
SO Earth System Science Data
SN 1866-3508
PU Copernicus Gesellschaft Mbh
VL 13
IS 10
UT 000709204100001
BP 4693
EP 4710
DI 10.5194/essd-13-4693-2021
ID 86721
ER

EF