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Polar F-layer model-observation comparisons: a neutral wind surprise

机译:Polar F层模型观测的比较:中性风带来惊喜

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The existence of a month-long continuous database of incoherent scatter radar observations of the ionosphere from the EISCAT Savlbard Radar (ESR) at Longyear-byen, Norway, provides an unprecedented opportunity for model/data comparisons. Physics-based ionospheric models, such as the Utah State University Time Dependent Ionospheric Model (TDIM), are usually only compared with observations over restricted one or two day events or against climatological averages. In this study, using the ESR observations, the daily weather, day-to-day variability, and month-long climatology can be simultaneously addressed to identify modeling shortcomings and successes. Since for this study the TDIM is driven by climatological representations of the magnetospheric convection, auroral oval, neutral atmosphere, and neutral winds, whose inputs are solar and geomagnetic indices, it is not surprising that the daily weather cannot be reproduced. What is unexpected is that the horizontal neutral wind has come to the forefront as a decisive model input parameter in matching the diurnal morphology of density structuring seen in the observations.
机译:来自挪威朗伊尔城的EISCAT Savlbard雷达(ESR)对电离层的非相干散射雷达观测的为期一个月的连续数据库的存在,为模型/数据比较提供了前所未有的机会。通常仅将基于物理的电离层模型,例如犹他州立大学时变电离层模型(TDIM),与在有限的一两天事件或相对于气候平均值的观测结果进行比较。在这项研究中,使用ESR观测值,可以同时解决日常天气,日常变化和长达一个月的气候变化问题,从而确定建模的不足和成功之处。由于本研究中的TDIM是由磁层对流,极光椭圆形,中性大气和中性风的气候表示驱动的,它们的输入是太阳和地磁指数,因此无法复制日常天气也就不足为奇了。出乎意料的是,水平中性风已成为与观测中看到的密度构造的昼夜形态相匹配的决定性模型输入参数。

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