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The effect of using limited scene-dependent averaging kernels approximations for the implementation of fast observing system simulation experiments targeted on lower tropospheric ozone

机译:使用有限的依赖于场景的平均内核近似值来实现针对低对流层臭氧的快速观测系统仿真实验的效果

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Practical implementations of chemical OSSEs (Observing System Simulation Experiments) usually rely on approximations of the pseudo-observations by means of a predefined parametrization of the averaging kernels, which describe the sensitivity of the observing system to the target atmospheric species. This is intended to avoid the use of a computationally expensive pseudo-observations simulator, that relies on full radiative transfer calculations. Here we present an investigation on how no, or limited, scene dependent averaging kernels parametrizations may misrepresent the sensitivity of an observing system. We carried out the full radiative transfer calculation for a three-days period over Europe, to produce reference pseudo-observations of lower tropospheric ozone, as they would be observed by a concept geostationary observing system called MAGEAQ (Monitoring the Atmosphere from Geostationary orbit for European Air Quality). The selected spatio-temporal interval is characterised by an ozone pollution event. We then compared our reference with approximated pseudo-observations, following existing simulation exercises made for both the MAGEAQ and GEOstationary Coastal and Air Pollution Events (GEOCAPE) missions. We found that approximated averaging kernels may fail to replicate the variability of the full radiative transfer calculations. In addition, we found that the approximations substantially overestimate the capability of MAGEAQ to follow the spatio-temporal variations of the lower tropospheric ozone in selected areas, during the mentioned pollution event. We conclude that such approximations may lead to false conclusions if used in an OSSE. Thus, we recommend to use comprehensive scene-dependent approximations of the averaging kernels, in cases where the full radiative transfer is computationally too costly for the OSSE being investigated.
机译:化学OSSE(观测系统模拟实验)的实际实现通常依赖于伪观测的近似,即通过平均核的预定义参数化来描述伪观测,该平均参数描述了观测系统对目标大气物种的敏感性。这样做是为了避免使用依赖于完整辐射传输计算的计算量大的伪观测模拟器。在这里,我们提出一项调查,研究如何没有或受限于场景的平均内核参数化可能会歪曲观测系统的灵敏度。我们在欧洲进行了为期三天的完整辐射转移计算,以产生对流层下层臭氧的参考伪观测,这可以通过称为MAGEAQ(从欧洲对地静止轨道监测大气)的概念对地静止观测系统进行观测。空气质量)。所选的时空间隔的特征在于臭氧污染事件。然后,在针对MAGEAQ和GEOstationary沿海和空气污染事件(GEOCAPE)任务进行现有模拟练习之后,我们将参考数据与近似伪观测值进行了比较。我们发现,近似平均内核可能无法复制完整的辐射传输计算的可变性。此外,我们发现,在提到的污染事件期间,这些近似值大大高估了MAGEAQ跟踪选定区域中较低对流层臭氧时空变化的能力。我们得出的结论是,如果在OSSE中使用这种近似值,可能会得出错误的结论。因此,如果对研究的OSSE而言,完整的辐射传输在计算上过于昂贵,我们建议使用平均内核的综合场景相关近似值。

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