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A kinetic chemistry tagging technique and its application to modelling the stable isotopic composition of atmospheric trace gases

机译:动力学化学标记技术及其在大气痕量气体稳定同位素组成建模中的应用

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Isotope composition, in many cases, holds unique information on the sources,chemical modification and sinks of atmospheric trace gases. Vital to theinterpretation and use of an increasing number of isotope analyses isappropriate modelling. However, the exact implementation of isotopicinformation in chemistry-climate models is a challenge, and often studies usesimplifications which limit their applicability. Here we implement a thoroughisotopic extension in MECCA, a comprehensive kinetic chemistry sub-model. Tothis end, we devise a generic tagging technique for the kinetic chemistrymechanisms implemented as the sub-submodel MECCA-TAG. The technique isdiagnostic and numerically efficient and supports the investigation ofvarious aspects of kinetic chemistry schemes. We focus specifically on theapplication to the modelling of stable isotopic composition. The results ofMECCA-TAG are evaluated against the reference sub-submodelMECCA-DBL, which is implicitly full-detailed, but computationallyexpensive and thus sub-optimal in practical applications. Furthermore, weevaluate the elaborate carbon and oxygen isotopic mechanism by simulating themulti-isotope composition of CO and other trace gases in the CAABA/MECCAbox-model. The mechanism realistically simulates the oxygen isotopecomposition of key species, as well as the carbon isotope signature transfer.The model adequately reproduces the isotope chemistry features for CO, takinginto account the limits of the modelling domain. In particular, themass-independently fractionated (MIF) composition of CO due to reactions ofozone with unsaturated hydrocarbons (a source effect) versus its intrinsicMIF enrichment induced in the removal reaction via oxidation by OH isassessed. The simulated ozone source effect was up to +1‰ inΔ17O(CO). The versatile modelling framework we employ (the ModularEarth Submodel System, MESSy) opens the way for implementation of the noveldetailed isotopic chemistry treatment in the three-dimensionalatmospheric-chemistry general circulation model EMAC. We therefore alsopresent estimates of the computational gain obtained by the developedoptimisations.
机译:在许多情况下,同位素组成拥有有关大气中痕量气体的来源,化学修饰和吸收的独特信息。恰当的建模对于解释和使用越来越多的同位素分析至关重要。但是,在化学-气候模型中准确实现同位素信息是一个挑战,并且经常研究使用简化方法来限制其适用性。在这里,我们在MECCA(一个全面的动力学化学子模型)中实现了彻底的同位素扩展。为此,我们设计了一种通用的标记技术,用于作为子模型MECCA-TAG的动力学化学机制。该技术是诊断性的并且在数值上有效,并且支持对动力学化学方案的各个方面的研究。我们专门关注稳定同位素组成建模的应用。针对参考子子模型MECCA-DBL评估了MECCA-TAG的结果,该子模型隐含了完整的细节,但计算量大,因此在实际应用中不理想。此外,通过在CAABA / MECCAbox模型中模拟CO和其他痕量气体的多同位素组成,我们评估了详尽的碳和氧同位素机理。该机制真实地模拟了关键物种的氧同位素组成以及碳同位素特征转移。该模型充分考虑了建模域的限制,充分再现了CO的同位素化学特征。特别地,评估了由于臭氧与不饱和烃的反应(源效应)所产生的CO的质量独立分馏(MIF)成分,以及通过OH氧化在去除反应中诱导的内在MIF富集。在Δ 17 O(CO)中模拟的臭氧源效应最高为+ 1‰。我们采用的通用建模框架(ModularEarth子模型系统,MESSy)为在三维大气化学总循环模型EMAC中实施新颖的详细同位素化学处理开辟了道路。因此,我们还提出了通过开发的优化方法获得的计算增益的估计值。

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