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Takahashi et al. 2007

Takahashi et al. 2007. (Prognostic) Models ?. Data-based methods. CO 2. L. Bopp – IPSL / LSCE - France. (Prognostic) Models. Forced Ocean Models : forced by best available heat/water fluxes (NCEP / ECMWF) - forced by atmospheric pCO 2 But

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Takahashi et al. 2007

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  1. Takahashi et al. 2007 (Prognostic) Models ? Data-based methods CO2 L. Bopp – IPSL / LSCE - France

  2. (Prognostic) Models • Forced Ocean Models : • forced by best available heat/water • fluxes (NCEP / ECMWF) • - forced by atmospheric pCO2 • But • - not usable for climate ch. projections • - variability ? (restoring in sss, …) • Coupled Climate-Carbon Models : • forced only by CO2 emissions ! • produce own internal variability • - used for projections • But • mutiple source of errors • difficult to evaluate CO2 CO2 L. Bopp – IPSL / LSCE - France

  3. Anthropogenic Air-Sea CO2-fluxes (90s) Coupled Climate-Carbon Models (More in B. Schneider’s talk later this morning)

  4. 1. Effect of stratospheric O3 decrease on oceanic carbon fluxes (Lenton’s talk) Increase in wind stress in SO Global Ocean Uptake PgC/yr 3.0 0.3 ! 2.0 With O3 decrease 1.0 No O3 decrease 1980 1990 2000

  5. 2. Effect of other GHGs and anthropogenic aerosols on carbon uptake (Cadule et al. subm) • Most of C4MIP simulations : only CO2 forcing ! • Here, we add other GHG + aerosols by imposing their concentrations Significant effect on the carbon cycle through an effect on climate !

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