Simulation and assimilation of global ocean pCO2 and air–sea CO2 fluxes using ship observations of surface ocean pCO2 in a simplified biogeochemical offline model.

We used an offline tracer transport model, driven by reanalysis ocean currents and coupled to a simple biogeochemical model, to synthesize the surface ocean pCO2 and air–sea CO2 flux of the global ocean from 1996 to 2004, using a variational assimilation method. This oceanic CO2 flux analysis system...

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Bibliographic Details
Main Authors: Valsala, Vinu, Maksyutov, Shamil
Format: Article in Journal/Newspaper
Language:English
Published: UNESCO/IOC 2010
Subjects:
Online Access:https://dx.doi.org/10.25607/obp-474
https://www.oceanbestpractices.net/handle/11329/933
Description
Summary:We used an offline tracer transport model, driven by reanalysis ocean currents and coupled to a simple biogeochemical model, to synthesize the surface ocean pCO2 and air–sea CO2 flux of the global ocean from 1996 to 2004, using a variational assimilation method. This oceanic CO2 flux analysis system was developed at the National Institute for Environmental Studies (NIES), Japan, as part of a project that provides prior fluxes for atmospheric inversions using CO2 measurements made from an on-board instrument attached to the Greenhouse gas Observing SATellite (GOSAT). Nearly 250 000 pCO2 observations from the database of Takahashi et al. (2007) have been assimilated into the model with a strong constraint provide by ship-track observations while maintaining a weak constraint of 20% on global averages of monthly mean pCO2 in regions where observations are limited. The synthesized global air–sea CO2 flux shows a net sink of 1.48 PgC yr−1. The Southern Ocean air–sea CO2 flux is a sink of 0.41 PgC yr−1. The interannual variability of synthesized CO2 flux from the El Nino region suggests a weaker source (by an amplitude of 0.4 PgC yr ˜ −1) during the El Nino events in 1997/1998 and 2003/2004. The assimilated air–sea CO ˜ 2 flux shows remarkable correlations with the CO2 fluxes obtained from atmospheric inversions on interannual time-scales.