Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Zhelavskaya, Irina S."'
Autor:
Lu, Yu L.1 (AUTHOR) leoluyu@gmail.com, Zhelavskaya, Irina S.2 (AUTHOR), Wang, Chunming1 (AUTHOR)
Publikováno v:
Earth & Space Science. Jul2022, Vol. 9 Issue 7, p1-20. 20p.
Autor:
Jackson David R., Bruinsma Sean, Negrin Sandra, Stolle Claudia, Budd Chris J., Dominguez Gonzalez Raul, Down Emily, Griffin Daniel J., Griffith Matthew J., Kervalishvili Guram, Lubián Arenillas Daniel, Manners James, Matzka Jürgen, Shprits Yuri Y., Vasile Ruggero, Zhelavskaya Irina S.
Publikováno v:
Journal of Space Weather and Space Climate, Vol 10, p 18 (2020)
Space weather driven atmospheric density variations affect low Earth orbit (LEO) satellites during all phases of their operational lifetime. Rocket launches, re-entry events and space debris are also similarly affected. A better understanding of spac
Externí odkaz:
https://doaj.org/article/547cfe13885e4e72a1c3f7731882173f
Akademický článek
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Autor:
Smirnov, Artem, Berrendorf, Max, Shprits, Yuri Y. (Prof. Dr.), Kronberg, Elena A., Allison, Hayley J., Aseev, Nikita A., Zhelavskaya, Irina S., Morley, Steven K., Reeves, Geoffrey D., Carver, Matthew R., Effenberger, Frederic
The radiation belts of the Earth, filled with energetic electrons, comprise complex and dynamic systems that pose a significant threat to satellite operation. While various models of electron flux both for low and relativistic energies have been deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______266::2216c3b52b560c77cd07f98a3794238d
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/57657
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/57657
Autor:
Zhelavskaya, Irina S.
The plasmasphere is a dynamic region of cold, dense plasma surrounding the Earth. Its shape and size are highly susceptible to variations in solar and geomagnetic conditions. Having an accurate model of plasma density in the plasmasphere is important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::525a23fdbf463b83b04973820ebe01fe
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5005275
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5005275
Akademický článek
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Publikováno v:
In Machine Learning Techniques for Space Weather 2018:301-327
Publikováno v:
Journal of Geophysical Research
Journal of Geophysical Research: Space Physics
Journal of Geophysical Research: Space Physics
We present the Neural-network-based Upper hybrid Resonance Determination (NURD) algorithm for automatic inference of the electron number density from plasma wave measurements made on board NASA's Van Allen Probes mission. A feedforward neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34794be9e41d98a76408cf77a6faf621
https://gfzpublic.gfz-potsdam.de/pubman/item/item_1574889_3/component/file_1577900/1574889.pdf
https://gfzpublic.gfz-potsdam.de/pubman/item/item_1574889_3/component/file_1577900/1574889.pdf
Publikováno v:
Space Weather: The International Journal of Research & Applications; Aug2019, Vol. 17 Issue 8, p1219-1229, 11p
Autor:
Wang, Dedong1 dedong@gfz‐potsdam.de, Shprits, Yuri Y.1,2,3, Zhelavskaya, Irina S.1,2, Agapitov, Oleksiy V.4,5, Drozdov, Alexander Y.3, Aseev, Nikita A.1,2
Publikováno v:
Journal of Geophysical Research. Space Physics. Feb2019, Vol. 124 Issue 2, p1063-1084. 22p.