Development of the Ionospheric E-Region Prompt Radio Occultation Based Electron Density (E-PROBED) Model

被引:1
作者
Salinas, Cornelius Csar Jude H. [1 ,2 ]
Wu, Dong L. [2 ]
Swarnalingam, Nimalan [2 ,3 ]
Emmons, Daniel [4 ]
Qian, Liying [5 ]
机构
[1] Univ Maryland, Goddard Earth Sci Technol & Res 2, Baltimore, MD 21201 USA
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[3] Catholic Univ Amer, Dept Phys, Washington, DC USA
[4] US Air Force, Dept Engn Phys, Inst Technol, Dayton, OH USA
[5] High Altitude Observ, Natl Ctr Atmospher Res, Boulder, CO USA
来源
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS | 2024年 / 22卷 / 09期
基金
美国国家科学基金会;
关键词
ionosphere; model; electron density; radio occultation; E-region ionosphere; empirical model; MONOCHROMATIC RADIATION; ATMOSPHERE; ABSORPTION;
D O I
10.1029/2024SW004037
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
This work reports the development of the first version of the E-region Prompt Radio Occultation Based Electron Density (E-PROBED) Model. This is an empirical model of E-region electron density (Ne) between 90 and 120 km developed using radio occultation measurements from the COSMIC-1 mission. This first version captures more than 80% of the observed variability in monthly-mean latitude-local time-altitude E-region Ne profiles but it does not account for longitudinal variability at constant local-time. This work also reports a validation of E-PROBED simulations through comparisons with ionosondes and incoherent scatter radar (ISR) E-region Ne profiles. E-PROBED generally agrees with these ground-based observations during day-time. During night-time, there is a large disparity between E-PROBED and ISR values. Finally, this work compares E-PROBED with E-region Ne simulated by the International Reference Ionosphere (IRI) and the Specified Dynamics-Whole Atmosphere Community Climate Model with Ionosphere/Thermosphere eXtension (SD-WACCM-X). One of the main differences amongst these models is on the simulation of variabilities that cannot be attributed to photoionization. IRI barely simulates any variability not driven by photoionization. Both E-PROBED and SD-WACCM-X simulates variability not driven by photoionization. Another main difference is in the absolute magnitude of night-time E-region Ne values. Both IRI and SD-WACCM-X are substantially lower than E-PROBED. This work first concludes that E-PROBED can conveniently provide E-region Ne latitude-local time variabilities and structures that COSMIC-1 observes. This work also concludes that E-region Ne have significant non-photoionization driven variabilities. Navigation and communication systems reliant on sending signals into space require accurate predictions from empirical models of ionospheric electron density (Ne) values because the frequency of the appropriate signals to use are a function of Ne. Empirical models currently struggle the most with the ionospheric E-region (between 90 and 120 km) because most of these models were constructed using sparsely sampled E-region Ne data from ground-based observations. Recently, E-region Ne profiles were finally retrieved from Global Navigation Satellite Systems Radio Occultation (GNSS RO) measurements. This work reports on a new empirical model of monthly-mean E-region Ne that uses global observations of E-region Ne from GNSS RO. The model is called the E-region Prompt Radio Occultation Based Electron Density (E-PROBED) Model, and it captures more than 80% of the observed variability in monthly-mean latitude-local time-altitude E-region Ne profiles. It agrees well with both ground-based observations and first principles Physics-based model simulations. These findings suggest that E-PROBED makes a viable alternative E-region Ne empirical model for those interested in an E-region Ne model constrained by satellite observations. The first version of E-region Prompt Radio Occultation Based Electron Density Model (E-PROBED) is developed E-PROBED agrees with ground-based observations during day-time but not during night-time E-PROBED agrees with SD-WACCM-X that E-region Ne have significant non-photoionization-driven variabilities
引用
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页数:20
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