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Contribution of ocean, fossil fuel, land biosphere, and biomass burning carbon fluxes to seasonal and interannual variability in atmospheric CO2

机译:海洋,化石燃料,土地生物圈和燃烧碳通量的生物质对大气中CO2季节和年际变化的贡献

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Seasonal and interannual variability in atmospheric carbon dioxide (CO2) concentrations was simulated using fluxes from fossil fuel, ocean and terrestrial biogeochemical models, and a tracer transport model with time-varying winds. The atmospheric CO2 variability resulting from these surface fluxes was compared to observations from 89 GLOBALVIEW monitoring stations. At northern hemisphere stations, the model simulations captured most of the observed seasonal cycle in atmospheric CO2, with the land tracer accounting for the majority of the signal. The ocean tracer was 3–6 months out of phase with the observed cycle at these stations and had a seasonal amplitude only ~10% on average of observed. Model and observed interannual CO2 growth anomalies were only moderately well correlated in the northern hemisphere (R ~ 0.4–0.8), and more poorly correlated in the southern hemisphere (R < 0.6). Land dominated the interannual variability (IAV) in the northern hemisphere, and biomass burning in particular accounted for much of the strong positive CO2 growth anomaly observed during the 1997–1998 El Ni?o event. The signals in atmospheric CO2 from the terrestrial biosphere extended throughout the southern hemisphere, but oceanic fluxes also exerted a strong influence there, accounting for roughly half of the IAV at many extratropical stations. However, the modeled ocean tracer was generally uncorrelated with observations in either hemisphere from 1979–2004, except during the weak El Ni?o/post-Pinatubo period of the early 1990s. During that time, model results suggested that the ocean may have accounted for 20–25% of the observed slowdown in the atmospheric CO2 growth rate.
机译:利用化石燃料,海洋和陆地生物地球化学模型的通量,以及随风随时间变化的示踪物运输模型,模拟了大气中二氧化碳(CO2)浓度的季节和年际变化。将这些表面通量产生的大气二氧化碳变化与89个GLOBALVIEW监测站的观测结果进行了比较。在北半球站,模型模拟捕获了大部分观测到的大气CO2季节性周期,而陆地示踪剂占了大部分信号。在这些台站,海洋示踪剂与观测到的周期相差3–6个月,并且其季节性振幅平均仅为观测值的〜10%。模型和观测到的年际CO2生长异常在北半球的相关性中等(R〜0.4-0.8),而在南半球的相关性较弱(R <0.6)。在北半球,土地主导年际变化(IAV),尤其是生物量燃烧占1997-1998年厄尔尼诺事件期间观察到的强烈的CO2正增长异常的大部分。来自陆地生物圈的大气CO2信号延伸到整个南半球,但是海洋通量也对该区域产生了很大的影响,在许多温带站约占IAV的一半。但是,除了在1990年代初期的El Ni?o / Pinatubo后期弱的时期外,建模的海洋示踪剂通常与1979-2004年任一半球的观测值无关。在此期间,模型结果表明,海洋可能占了观测到的大气CO2增长速度下降的20%至25%。

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