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North American CO_2 exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion

机译:北美CO_2交换:模拟估算与精细大气反演结果的相互比较

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Atmospheric inversion models have the potentialto quantify CO_2 fluxes at regional, sub-continental scalesby taking advantage of near-surface CO_2 mixing ratio observationscollected in areas with high flux variability. Thisstudy presents results from a series of regional geostatisticalinverse models (GIM) over North America for 2004, anduses them as the basis for an inter-comparison to other inversionstudies and estimates from biospheric models collectedthrough the North American Carbon Program Regional andContinental Interim Synthesis. Because the GIM approachdoes not require explicit prior flux estimates and resolvesfluxes at fine spatiotemporal scales (i.e. 1° ×1°, 3-hourlyin this study), it avoids temporal and spatial aggregation errorsand allows for the recovery of realistic spatial patternsfrom the atmospheric data relative to previous inversion studies.Results from a GIM inversion using only available atmosphericobservations and a fine-scale fossil fuel inventorywere used to confirm the quality of the inventory andinversion setup. An inversion additionally including auxiliaryvariables from the North American Regional Reanalysisfound inferred relationships with flux consistent with physiologicalunderstanding of the biospheric carbon cycle. Comparisonof GIM results with bottom-up biospheric modelsshowed stronger agreement during the growing relative tothe dormant season, in part because most of the biosphericmodels do not fully represent agricultural land-managementpractices and the fate of both residual biomass and harvestedproducts. Comparison to earlier inversion studies pointed toaggregation errors as a likely source of bias in previous subcontinentalscale flux estimates, particularly for inversionsthat adjust fluxes at the coarsest scales and use atmosphericobservations averaged over long periods. Finally, whereasthe continental CO_2 boundary conditions used in the GIMinversions have a minor impact on spatial patterns, they havea substantial impact on the continental carbon budget, with adifference of 0.8 PgC yr~(-1) in the total continental flux resultingfrom the use of two plausible sets of boundary CO_2 mixingratios. Overall, this inter-comparison study helps to assessthe state of the science in estimating regional-scale CO_2fluxes, while pointing towards the path forward for improvementsin future top-down and bottom-up modeling efforts.
机译:大气反演模型有潜力通过利用在高通量变化区域收集的近地表CO_2混合比观测值,在区域,次大陆尺度上量化CO_2通量。本研究介绍了2004年北美一系列区域地统计学反演模型(GIM)的结果,并将它们用作与其他反演研究进行比对的基础,并通过北美碳计划区域和洲际中期综合评估从生物圈模型中进行了估算。由于GIM方法不需要明确的先验通量估计值并可以在精细的时空尺度上分解通量(即本研究中为1°×1°,每3小时3个小时),因此它避免了时间和空间聚集误差,并允许从相对于大气数据的实际空间格局中恢复仅使用可用的大气观测和精细化石燃料清单进行的GIM反演结果被用于确认清单和反演装置的质量。反演还包括来自北美区域再分析的辅助变量,发现与通量的推断关系与对生物圈碳循环的生理理解一致。 GIM结果与自下而上的生物圈模型的比较显示,在相对于休眠季节的生长期间,一致性更高,部分原因是大多数生物圈模型不能完全代表农业土地管理实践以及残余生物量和收获产品的命运。与早期反演研究的比较表明,聚集误差是先前次大陆尺度通量估计中可能的偏差来源,特别是对于以最粗尺度调整通量并使用长期平均大气观测值的反演。最后,尽管GIMinversions中使用的大陆CO_2边界条件对空间格局影响不大,但它们对大陆碳收支却有重大影响,使用两种方法导致的总大陆通量的差异为0.8 PgC yr〜(-1)。合理的边界CO_2混合比集。总体而言,这项比较研究有助于评估估算区域规模的CO_2通量的科学状态,同时指出了改进自上而下和自下而上的建模工作的未来之路。

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