CEDAR email: EGU 2021: Towards better understanding of the ionospheric plasma irregularities and scintillations

Klenzing, Jeffrey (GSFC-6750) jeffrey.klenzing at nasa.gov
Tue Jan 5 10:28:02 MST 2021


Dear Colleagues,
Please consider submitting an abstract to our session on ionospheric plasma irregularities and scintillation at EGU this spring.  EGU 2021 will be fully online. More information can be found at https://egu21.eu/about/provisional_format_of_egu21.html<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fegu21.eu%2Fabout%2Fprovisional_format_of_egu21.html&data=04%7C01%7Cjeffrey.klenzing%40nasa.gov%7C4feb48fb43774bba029a08d8957f61f2%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C637423721618921246%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=ksfeYpOKCbiGZaSHdD81EoXODe1SG8%2BV6HhQFWcU5xA%3D&reserved=0>
The full session description is below.
The abstract submission deadline is 13 January 2021, 13:00 CET.
Best regards,
-Jeff

Towards better understanding of the ionospheric plasma irregularities and scintillations
Convener: Chao Xiong | Co-conveners: Lucilla Alfonsi, Jens Berdermann, Yaqi Jin, Jeffrey Klenzing

Abstract submission<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmeetingorganizer.copernicus.org%2FEGU21%2Fabstractsubmission%2F40166&data=04%7C01%7Cjeffrey.klenzing%40nasa.gov%7C4feb48fb43774bba029a08d8957f61f2%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C637423721618921246%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=OaImTnZf2wLyMNL5cz7jxGKvFC7DnjIEGxAtxQUZs8Y%3D&reserved=0>



Plasma density irregularities can occur at all latitudes in the Earth’s ionosphere. However, the onset and evolution of these irregularities as well as their influence on the radio wave signals continue to be unsolved scientific questions. The various proposed generation mechanisms, including instability growth rates and seeding processes, are strongly coupled to the neutral atmosphere and magnetospheric dynamics, making the forecasting of ionospheric irregularities much more challenging. Recent observations from ground- and space-based measurements, as well as new innovative data analysis and modeling techniques, e.g., data assimilation and machine learning, have the potential to advance our understanding of the ionospheric irregularities. Studies that focus on the observation, modeling and prediction of plasma irregularities of different scales are welcome at this session. The mitigation of negative effects and recent developments to forecast scintillation effects on Global Navigation Satellite or other communication systems are also of high interest.

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