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A uniform pCO2 climatology combining open and coastal oceans.

Authors :
Landschützer, Peter
Laruelle, Goulven G.
Roobaert, Alizee
Regnier, Pierre
Source :
Earth System Science Data; 2020, Vol. 12 Issue 4, p2537-2553, 17p
Publication Year :
2020

Abstract

In this study, we present the first combined open- and coastal-ocean pCO2 mapped monthly climatology (, 10.25921/qb25-f418, https://www.nodc.noaa.gov/ocads/oceans/MPI-ULB-SOM%5fFFN%5fclim.html , last access: 8 April 2020) constructed from observations collected between 1998 and 2015 extracted from the Surface Ocean CO2 Atlas (SOCAT) database. We combine two neural network-based pCO2 products, one from the open ocean and the other from the coastal ocean, and investigate their consistency along their common overlap areas. While the difference between open- and coastal-ocean estimates along the overlap area increases with latitude, it remains close to 0 µatm globally. Stronger discrepancies, however, exist on the regional level resulting in differences that exceed 10 % of the climatological mean pCO2 , or an order of magnitude larger than the uncertainty from state-of-the-art measurements. This also illustrates the potential of such an analysis to highlight where we lack a good representation of the aquatic continuum and future research should be dedicated. A regional analysis further shows that the seasonal carbon dynamics at the coast–open interface are well represented in our climatology. While our combined product is only a first step towards a true representation of both the open-ocean and the coastal-ocean air–sea CO2 flux in marine carbon budgets, we show it is a feasible task and the present data product already constitutes a valuable tool to investigate and quantify the dynamics of the air–sea CO2 exchange consistently for oceanic regions regardless of its distance to the coast. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663508
Volume :
12
Issue :
4
Database :
Complementary Index
Journal :
Earth System Science Data
Publication Type :
Academic Journal
Accession number :
148038169
Full Text :
https://doi.org/10.5194/essd-12-2537-2020