Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
There are a number of ways to approach this research problem; versatile approaches are encouraged. Researchers could focus on establishing a relationship between observable parameters that describe large scale thunderstorm activity and those that describe the Ionosphere (such as total electron content, F2 later critical frequency, stroke count or wind speed). The relationship and parameters could then be used to compute an index which describes the variability of one or more Ionospheric parameters. Alternatively, researchers can create an empirical model. The model could use a combination of meteorological and geophysical parameters as input to then specify the expected variability in Ionospheric parameters for a given region of the atmosphere.
Relevance to the Intelligence Community:
Improved modeling of the Earth’s Ionosphere helps to better account for radio frequency propagation effects. These effects are particularly important for improving satellite communications, remote imagery processing, GPS acquisition, and geolocation accuracy. A specification of Ionospheric variability would provide an additional layer of confidence in these model predictions of Ionospheric parameters as well as provide operational situational awareness to users.
Key Words: Ionosphere, Total Electron Content, foF2, Critical Frequency, Peak Density, Peak Density Height, foE, hmF2, hmE, Lightning, Stroke Count, Gravity Waves, Storms, Thunderstorms, Winds, Thermosphere, Troposphere, IRI, IRTAM, Data Assimilation, Empirical Modeling, Atmospheric Science, Indices, Space Weather, Equatorial Ionosphere, Meteorology