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A joint atmosphere-ocean inversion for surface fluxes of carbon dioxide: 2. Regional results

机译:大气-海洋联合反演二氧化碳的表面通量:2.区域结果

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We report here the results from a coupled ocean-atmosphere inversion, in which atmospheric CO2 gradients and transport simulations are combined with observations of ocean interior carbon concentrations and ocean transport simulations to provide a jointly constrained estimate of air-sea and air-land carbon fluxes. While atmospheric data have little impact on regional air-sea flux estimates, the inclusion of ocean data drives a substantial change in terrestrial flux estimates. Our results indicate that the tropical and southern land regions together are a large source of carbon, with a 77% probability that their aggregate source size exceeds 1 PgC yr(-1). This value is of similar magnitude to estimates of fluxes in the tropics due to land-use change alone, making the existence of a large tropical CO2 fertilization sink unlikely. This terrestrial result is strongly driven by oceanic inversion results that differ from flux estimates based on Delta pCO(2) climatologies, including a relatively small Southern Ocean sink (south of 44 degrees S) and a relatively large sink in the southern temperate latitudes (44 degrees S-18 degrees S). These conclusions are based on a formal error analysis of the results, which includes uncertainties due to observational error transport and other modeling errors, and biogeochemical assumptions. A suite of sensitivity tests shows that these results are generally robust, but they remain subject to potential sources of unquantified error stemming from the use of large inversion regions and transport biases common to the suite of available transport models.
机译:我们在此报告海洋-大气耦合反演的结果,其中大气CO2梯度和运输模拟与对海洋内部碳浓度和海洋运输模拟的观察相结合,以提供对海-海和空地碳通量的联合约束估计。尽管大气数据对区域海气通量估计值影响不大,但包含海洋数据推动了陆地通量估计值的重大变化。我们的结果表明,热带和南部陆地地区在一起是大量的碳源,其碳源总量超过1 PgC yr(-1)的可能性为77%。该值的大小与仅因土地利用变化而导致的热带通量估算值相似,因此不太可能存在大量的热带CO2施肥池。该陆地结果是由与基于Delta pCO(2)气候的通量估算结果不同的海洋反演结果强烈驱动的,其中包括南部海洋相对较小的水槽(南纬44度)和南部温带纬度相对较大的水槽(44)。度S-18度)。这些结论基于对结果的正式误差分析,其中包括由于观测误差传输和其他建模误差引起的不确定性以及生物地球化学假设。一组敏感性测试表明,这些结果通常是可靠的,但仍会受到潜在的未量化误差来源的影响,这些误差可能归因于使用较大的反演区域和这套可用传输模型所共有的传输偏差。

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