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Critique of the tracer-tracer correlation technique and its potential to analyze polar chemical O3 loss in chemistry-climate models

机译:示踪-示踪相关技术的批判及其在化学-气候模型中分析极性化学O3损失的潜力

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摘要

The tracer- tracer correlation technique ( TRAC) has been widely employed to infer chemical ozone loss from observations. Yet, its applicability to chemistry- climate model ( CCM) data is disputed. Here, we report the successful application of TRAC on the results of a CCM simulation. By comparing TRAC- calculated ozone loss to ozone loss derived with the passive ozone method in a chemistry transport model we differentiate effects of internal mixing and cross vortex boundary mixing on a TRAC reference correlation. As a test case, we consider results of a cold Arctic winter/ spring episode from an E39/ C experiment, where typical features, for example, sufficient polar stratospheric cloud formation potential, denitrification and dehydration, and intermittent and final stratospheric warming events, are simulated. We find that internal mixing does not impact the TRAC- derived reference correlation at all. Mixing across the vortex boundary would lead to an underestimation of ozone loss by similar to 10% when calculated with TRAC. We provide arguments that TRAC is a consistent and conservative method to derive chemical ozone loss and can be used to extract its chemical signature also from CCM simulations. As a consequence, we will be able to provide a lower bound for chemical ozone loss for model simulations where a passive ozone tracer is not available.
机译:示踪物-示踪物相关技术(TRAC)已被广泛用于从观测结果推断化学臭氧的损失。然而,它对化学-气候模型(CCM)数据的适用性存在争议。在这里,我们报告TRAC在CCM模拟结果上的成功应用。通过将TRAC计算的臭氧损失与化学传输模型中的被动臭氧方法得出的臭氧损失进行比较,我们可以区分内部混合和交叉涡旋边界混合对TRAC参考相关性的影响。作为测试用例,我们考虑了E39 / C实验的北极冬季/春季寒冷天气的结果,其中典型的特征是,例如,平流层极地云形成能力强,反硝化和脱水以及平流层间和最终变暖事件是模拟。我们发现内部混合根本不影响TRAC派生的参考相关性。用TRAC计算时,越过涡旋边界混合会导致臭氧损失低估约10%。我们提供了这样的论点,即TRAC是推导化学臭氧损失的一致且保守的方法,也可用于从CCM模拟中提取其化学特征。结果,我们将能够为没有被动式臭氧示踪剂的模型仿真提供化学臭氧损失的下限。

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