Ionospheric-thermospheric state estimation with neutral wind data assimilation

Seebany Datta-Barua; Daniel S. Miladinovich; Gary S. Bust; Jonathan Makela

doi:10.1109/URSI-AT-RASC.2015.7303101

Ionospheric-thermospheric state estimation with neutral wind data assimilation

Seebany Datta-Barua, Daniel S. Miladinovich, Gary S. Bust, Jonathan Makela

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Assimilation of radio sounding measurements - Global Navigation Satellite System (GNSS) data, ionosondes, beacon satellites, and more - of the ionosphere has been ongoing for over a decade, and has enabled ionospheric plasma mapping at global scales and at unprecedented resolution. Data assimilative technology has allowed us to sense and map the redistribution of plasma in response to stormtime forcing, in the form of storm-enhanced densities (SED), plumes of plasma feeding into the plasmasphere, bubbles, depletions and troughs. However, the drivers behind these formations have had to be measured in situ or indirectly, and with greater sparsity than measurements such as total electron content (TEC) from GNSS.

Original language	English (US)
Title of host publication	2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9789090086286
DOIs	https://doi.org/10.1109/URSI-AT-RASC.2015.7303101
State	Published - Oct 21 2015
Event	1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015 - Gran Canaria, Spain Duration: May 16 2015 → May 24 2015

Publication series

Name	2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015

Other

Other	1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015
Country/Territory	Spain
City	Gran Canaria
Period	5/16/15 → 5/24/15

ASJC Scopus subject areas

Communication
Computer Networks and Communications

Online availability

10.1109/URSI-AT-RASC.2015.7303101

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Cite this

Datta-Barua, S., Miladinovich, D. S., Bust, G. S., & Makela, J. (2015). Ionospheric-thermospheric state estimation with neutral wind data assimilation. In 2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015 Article 7303101 (2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URSI-AT-RASC.2015.7303101

Ionospheric-thermospheric state estimation with neutral wind data assimilation. / Datta-Barua, Seebany; Miladinovich, Daniel S.; Bust, Gary S. et al.
2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7303101 (2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Datta-Barua, S, Miladinovich, DS, Bust, GS & Makela, J 2015, Ionospheric-thermospheric state estimation with neutral wind data assimilation. in 2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015., 7303101, 2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015, Institute of Electrical and Electronics Engineers Inc., 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015, Gran Canaria, Spain, 5/16/15. https://doi.org/10.1109/URSI-AT-RASC.2015.7303101

Datta-Barua S, Miladinovich DS, Bust GS, Makela J. Ionospheric-thermospheric state estimation with neutral wind data assimilation. In 2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7303101. (2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015). doi: 10.1109/URSI-AT-RASC.2015.7303101

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abstract = "Assimilation of radio sounding measurements - Global Navigation Satellite System (GNSS) data, ionosondes, beacon satellites, and more - of the ionosphere has been ongoing for over a decade, and has enabled ionospheric plasma mapping at global scales and at unprecedented resolution. Data assimilative technology has allowed us to sense and map the redistribution of plasma in response to stormtime forcing, in the form of storm-enhanced densities (SED), plumes of plasma feeding into the plasmasphere, bubbles, depletions and troughs. However, the drivers behind these formations have had to be measured in situ or indirectly, and with greater sparsity than measurements such as total electron content (TEC) from GNSS.",

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Ionospheric-thermospheric state estimation with neutral wind data assimilation

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