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Global surface-ocean ip/isupCOsub2/sub/sup and sea–air COsub2/sub flux variability from an observation-driven ocean mixed-layer scheme

机译:来自观测驱动海洋混合的全球地表海洋 p CO 2 和海洋CO 2 通量变化层方案

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A temporally and spatially resolved estimate of the globalsurface-ocean CO2 partial pressure field and the sea–air CO2 fluxis presented,obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistryto surface-ocean CO2 partial pressure data from the SOCAT v1.5 database.Results include seasonal, interannual, and short-term (daily) variations.In most regions,estimated seasonality is well constrained from the data,and compares well to the widely used monthly climatology by Takahashi et al. (2009).Comparison to independent data tentatively supports the slightly higher seasonal variationsin our estimates in some areas.We also fitted the diagnostic model to atmospheric CO2 data.The results of this are less robust,but in those areas where atmospheric signals are not strongly influenced by land flux variability,their seasonality is nevertheless consistent with the results based on surface-ocean data.From a comparison with an independent seasonal climatology of surface-ocean nutrient concentration,the diagnostic model is shown to capture relevant surface-ocean biogeochemical processes reasonably well.Estimated interannual variations will be presented and discussed in a companion paper.
机译:通过拟合一个简单的数据驱动的诊断模型,获得了全球地表海洋CO 2 分压场和海洋CO 2 通量的时空解析估计海洋混合层生物地球化学对SOCAT v1.5数据库中地表海洋CO 2 分压数据的分析。结果包括季节,年际和短期(每天)变化。在大多数地区,估计季节根据数据很好地进行了约束,并与Takahashi等人的广泛使用的每月气候学进行了比较。 (2009)。与独立数据的比较初步支持了我们在某些地区估计值中季节性稍高的季节变化。我们还将诊断模型与大气CO 2 数据进行了拟合,其结果不那么稳健,但在在那些大气信号不受地表通量变化强烈影响的区域,其季节性仍然与基于地表海洋数据的结果一致。通过与地表海洋营养物浓度的独立季节气候的比较,显示了诊断模型:可以很好地捕获相关的表面海洋生物地球化学过程,并将在随附的论文中介绍和讨论预计的年际变化。

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