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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Long‐Term Trend of Topside Ionospheric Electron Density Derived From DMSP Data During 1995-2017
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Long‐Term Trend of Topside Ionospheric Electron Density Derived From DMSP Data During 1995-2017

机译:长期趋势,上部电离层电子1995 - 2017年期间密度源自DMSP数据

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In recent decades, significant efforts have been made to characterize and understand the global pattern of ionospheric long‐term trend. However, little attention has been paid to the topside ionosphere trend. In this study, the unique in situ data measured by series Defense Meteorological Satellite Program (DMSP) satellites were utilized to derive the long‐term trend of the topside ionosphere for the first time. We checked carefully data quality, gap, and consistency between different satellites for both electron density and ion temperature, and compared the techniques of artificial neuron network (ANN) and multiple linear regression methods for deriving the trend. The electron density (N_e) trend in the middle and low latitudes at ~860 km around 18 MLT was derived using the ANN method from 1995-2017. The trend from DMSP observations has a mean magnitude ranging from ~ - 2% to ~2% per decade, with clear seasonal, latitude and longitude variations. The derived trend was evaluated by directly comparing with the simulated trend at 500 km from the NCAR‐TIEGCM driven by realistic changes of CO_2 level and geomagnetic field. The observed and simulated trends have similar geographic distribution patterns at 18 MLT. The good agreement between the observed trend around 860 km and the simulated trend near 500 km implies that the physical processes controlling the N_e trends above the peak height might be identical. Further control simulations show that the geomagnetic field secular variation is the dominant factor of the electron density trend at around 500 km, rather than the CO_2 long‐term enhancement.
机译:近几十年来,重大的努力描述和理解全球电离层模式长期趋势。很少有人注意到上部电离层的趋势。现场测量的数据系列气象卫星计划(DMSP)卫星被用来推导出长期上部电离层的趋势时间。不同卫星之间的一致性电子密度和离子温度而人工神经元的技巧网络(安)和多元线性回归方法推导了这一趋势。密度(N_e)中间和低的趋势纬度在18 ~ 860公里左右MLT派生从1995 - 2017年使用ANN方法。从DMSP观测平均大小从每十年~ - 2% ~ 2%,与清晰季节、纬度和经度变化。派生的趋势被直接比较评估与模拟的趋势在500公里NCAR TIEGCM应承担的由现实的二氧化碳的变化水平和地磁场。模拟趋势有相似的地理在18 MLT分布模式。协议在860年左右观察到的趋势公里,模拟趋势意味着近500公里物理过程控制N_e趋势在峰高可能是相同的。进一步控制模拟显示地磁场长期变化的电子密度的趋势的主导因素约500公里,而不是二氧化碳长期增强。

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