2018
DOI: 10.1029/2018ja025716
|View full text |Cite
|
Sign up to set email alerts
|

Mesoscale Plasma Convection Perturbations in the High‐Latitude Ionosphere

Abstract: An investigation of flow perturbations with spatial scale sizes between 100 and 500 km in the high‐latitude ionosphere is presented. These localized flow perturbations are deviations from the large‐scale background convection, expected to give us new insights into the magnetosphere‐ionosphere coupling process. Ion drift measurements from the Defense Meteorological Satellite Program F17 are utilized to identify these mesoscale flow perturbations. Our intent is to discover the properties of these perturbations i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
19
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
2

Relationship

3
4

Authors

Journals

citations
Cited by 10 publications
(21 citation statements)
references
References 40 publications
2
19
0
Order By: Relevance
“…It is worth noting that the satellite measurement involves both spatial and temporal variations. However, if it is assumed that structures the satellite encounters are stationary for a short period (~1–2 min), the time series data from the satellite can be converted to spatial data by using the speed of the satellite (Chen & Heelis, ). Since DE‐2 travels 500 km in ~63 s, we believe that most of the variabilities extracted by the 500‐km moving window are spatial variability below 500 km.…”
Section: Resultsmentioning
confidence: 99%
“…It is worth noting that the satellite measurement involves both spatial and temporal variations. However, if it is assumed that structures the satellite encounters are stationary for a short period (~1–2 min), the time series data from the satellite can be converted to spatial data by using the speed of the satellite (Chen & Heelis, ). Since DE‐2 travels 500 km in ~63 s, we believe that most of the variabilities extracted by the 500‐km moving window are spatial variability below 500 km.…”
Section: Resultsmentioning
confidence: 99%
“…Previous observations of the flow perturbations (Chen & Heelis, 2018) show that they are quite uniformly distributed in local time and most frequently occupy the high-latitude extreme of the auroral oval and the 10.1029/2018JA026128 Journal of Geophysical Research: Space Physics region just poleward of the convection reversal boundary. Since most perturbations are identified from latitudinal variations of the plasma velocity, the observations specify the latitudinal dimensions of the flow perturbations with high fidelity but restrict our knowledge of their longitudinal dimensions.…”
Section: Discussionmentioning
confidence: 97%
“…In this case the apparently different characteristic times can be produced by different spatial distributions for the flows at the leading and trailing edges of the structure. Previous work by Chen and Heelis (2018) suggests that flow perturbations are embedded in the background flow with a median magnitude of 500 m/s. If perturbations move with the background flow, these perturbations can contribute to the large differences in characteristic times for growth and decay.…”
Section: 1029/2018ja026128mentioning
confidence: 98%
“…However, advances in computational capabilities allow adjustable time steps and adaptable grids in space to incorporate smaller scale convection features more explicitly (Zhu et al, 2018). Advances in defining multiscale features in the ionospheric plasma motions and the field-aligned currents associated with them are now being made (Chen & Heelis, 2018;Gabrielse et al, 2018;McGranaghan et al, 2017). At the present time our descriptions of the spatial and temporal variations in the observed plasma velocity structure are rather primitive, and observations of auroral emissions that are associated with spatial structures with scales of 100 to 500 km show that many times, these features are moving (e.g., Kim et al, 2017;Zou et al, 2014, and references therein).…”
Section: Multiple Scalesmentioning
confidence: 99%