Modeling the ionospheric prereversal enhancement by using coupled thermosphere‐ionosphere data assimilation

Chen, Chia‐Hung; Lin, Charles; Chen, Wei‐Han; Matsuo, Tomoko

doi:10.1002/2016gl071812

i

Modeling the ionospheric prereversal enhancement by using coupled thermosphere‐ionosphere data assimilation

Supporting Files

2017
By Chen, Chia‐Hung ; Lin, Charles ; Chen, Wei‐Han ; ...

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Journal Title:

Geophysical Research Letters
Personal Author:

Chen, Chia‐Hung ; Lin, Charles ; Chen, Wei‐Han ; Matsuo, Tomoko
NOAA Program & Office:

NWS (National Weather Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; SWPC (Space Weather Prediction Center)
Description:

We report that assimilating total electron content (TEC) into a coupled thermosphere-ionosphere model by using the ensemble Kalman ﬁlter results in improved speci ﬁcation and forecast of eastward prereversal enhancement (PRE) electric ﬁeld ( Eﬁeld). Through data assimilation, the ionospheric plasma density, thermospheric winds, temperature, and compositions are adjusted simultaneously. Theimprovement of duskside PRE Eﬁeld calculation over the prior state is achieved primarily by intensi ﬁcation of eastward neutral wind. The improved Eﬁeld calculation promotes a stronger plasma fountain and deepens the equatorial trough. As a result, the horizontal gradients of Pedersen conductivity and eastward wind areincreased due to greater zonal electron density gradient and smaller ion drag at dusk, respectively. Such modi ﬁcations provide preferable conditions and obtain a strengthened PRE magnitude closer to the
Keywords:

General Earth And Planetary Sciences Geophysics General Earth And Planetary Sciences General Earth And Planetary Sciences
Source:

Geophysical Research Letters, 44(4), 1652-1659
DOI:

https://doi.org/10.1002/2016gl071812
ISSN:

0094-8276 ; 1944-8007
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Library
Main Document Checksum:

urn:sha256:d6ca2c941ee5950b00945f737392ee86a1881937122d2020c4a4d58b5bcabf32
Download URL:

https://repository.library.noaa.gov/view/noaa/52822/noaa_52822_DS1.pdf
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[PDF - 1.37 MB ]

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