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AGU: Global Biogeochemical Cycles

 

Keywords

  • CO2 ocean flux
  • interannual variability
  • inverse modeling

Index Terms

  • Atmospheric Composition and Structure: Constituent sources and sinks
  • Biogeosciences: Biogeochemical cycles, processes, and modeling
  • Global Change: Climate variability
  • Mathematical Geophysics: Inverse theory
  • Biogeosciences: Carbon cycling

Abstract

GLOBAL BIOGEOCHEMICAL CYCLES, VOL. 19, GB4013, 13 PP., 2005
doi:10.1029/2004GB002257

Interannual and decadal changes in the sea-air CO2 flux from atmospheric CO2 inverse modeling

Prabir K. Patra

Frontier Research Center for Global Change/Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan

Shamil Maksyutov

Frontier Research Center for Global Change/Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan

Misa Ishizawa

Frontier Research Center for Global Change/Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan

Takakiyo Nakazawa

Center for Atmospheric and Oceanic Studies, Tohoku University, Sendai, Japan

Taro Takahashi

Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA

Jinro Ukita

Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA

The atmosphere-land-ocean fluxes of CO2 were derived for 64 partitioned areas of the globe (22 over the ocean and 42 over the land) using a time-dependent inverse (TDI) model for the period of January 1988 to December 2001. The model calculation partially follow the TransCom-3 protocol, and is constrained by atmospheric CO2 concentration data from 87 stations and fully time-dependent atmospheric transport model simulations. The air-to-land and air-to-sea fluxes averaged over the 1990s are estimated at 1.15 ± 0.74 and 1.88 ± 0.53 Pg-C yr−1, respectively. These estimates, however, remain uncertain owing to sampling biases arising from the sparse distribution of atmospheric CO2 data, are compared with other estimates by various methods. The sensitivity analysis indicates that the differences in fluxes and flux variability caused by the choices of initial conditions for the TDI model are smaller compared to those due to the selection of measurement networks. Our model results capture interannual variations in global and regional CO2 fluxes realistically. The estimated oceanic CO2 flux anomalies appear to be closely related to prominent climate modes such as El Niño–Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO), and the Pacific Decadal Oscillation (PDO). The results from the correlation analyses show that the oceanic CO2 flux in the tropics is strongly influenced by the ENSO dynamical cycle, and that in the sub-polar regions by upwelling of sub-surface waters in the winter and plankton blooms in the spring.

Received 14 March 2004; accepted 26 August 2005; published 15 November 2005.

Citation: Patra, P. K., S. Maksyutov, M. Ishizawa, T. Nakazawa, T. Takahashi, and J. Ukita (2005), Interannual and decadal changes in the sea-air CO2 flux from atmospheric CO2 inverse modeling, Global Biogeochem. Cycles, 19, GB4013, doi:10.1029/2004GB002257.

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