Data|数据

ICON FUV L2.5 refined data product

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The nighttime ionospheric parameters in the FUV L2.5 v05 data product of the NASA ICON mission contain systematic bias introduced by Tikhonov regularization. Our newly developed algorithm successfully eliminates the systematic bias. The improved inversion results are provided in the link above.
NASA ICON任务的FUV L2.5 v05数据产品中的夜间电离层参数包含由Tikhonov正则化引入的系统偏差。我们新开发的算法成功消除了这一系统偏差。上述链接提供了改进后的反演结果。

A general empirical model for solar VUV irradiance

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We developed a high-precision empirical model for the solar vacuum ultraviolet (VUV, 0.1 to 200 nm) irradiance received at Earth, Mars, and Venus, based on Fourier transform analysis and least-squares fitting of the long-term observations from the NASA TIMED and MAVEN missions. The Python code for this model is provided in the link above.
我们基于NASA TIMED和MAVEN任务的长期观测数据,通过傅里叶变换分析和最小二乘拟合,开发了一个用于地球、火星和金星接收的太阳真空紫外辐射(VUV,0.1至200 nm)的高精度经验模型。上述链接提供了该模型的Python代码。

The large lookup-table codes for nighttime ionospheric retrieval

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The Fengyun-4C satellite, scheduled to launch in 2025, will carry a Multispectral Ultraviolet Spectral Imager (MUSI) to observe airglow emissions in the spectral range of 120-160 nm. To extract the ionospheric peak electron density (nmF2) and total electron content (TEC) from the nighttime OI 135.6 nm emissions observed by MUSI, we developed a lookup table algorithm that can achieve about 3% retrieval accuracy. The model can also be used to analyze the observations from the NASA GOLD mission. The Matlab code for this lookup table algorithm is provided in the link above.
计划于2025年发射的风云4C卫星将搭载多波段紫外光谱成像仪(MUSI),用于观测120-160 nm光谱范围内的气辉辐射。为从MUSI观测的夜间OI 135.6 nm辐射中提取电离层峰值电子密度(nmF2)和总电子含量(TEC),我们开发了一个查找表算法,可实现约3%的反演精度。该模型也可用于分析NASA GOLD任务的观测数据。上述链接提供了该查找表算法的Matlab代码。