Radar studies of ionospheric dusty plasma phenomena

Mann, Ingrid; Gunnarsdottir, Tinna; Häggström, Ingemar; Eren, Saliha; Tjulin, Anders; Myrvang, Margaretha; Rietveld, M. T.; Dalin, Peter; Jozwicki, Dorota; Trollvik, Henriette

doi:10.1002/ctpp.201900005

Cited by 14 publications

(13 citation statements)

References 46 publications

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“…It should be noted that NLC describes the variation of the atmospheric layer on spatial horizontal scales, while PMSE observations describe the radar echoes at a given location and their time variation which further complicates the analysis. Using high-power, large-aperture radar for the PMSE observations has the advantage that those radar also measure incoherent scatter in the vicinity of the PMSE and thus provide information on the ionospheric and dusty plasma conditions [18].…”

Section: Noctilucent Clouds and Polar Mesospheric Summer Echoesmentioning

confidence: 99%

Towards a Framework for Noctilucent Cloud Analysis

2019

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In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects in the scene, we employed linear discriminant analysis (LDA) with feature vectors ranging from simple metrics to higher-order local autocorrelation (HLAC), and histogram of oriented gradients (HOG). Finally, we propose a convolutional neural networks (CNN)-based method for the detection of noctilucent clouds. The results clearly indicate that the CNN-based approach outperforms the LDA-based methods used in this article. Furthermore, we outline suggestions for future research directions to establish a framework that can be used for synchronizing the optical observations from ground-based camera systems with echoes measured with radar systems like EISCAT in order to obtain independent additional information on the ice clouds.

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Section: Noctilucent Clouds and Polar Mesospheric Summer Echoesmentioning

confidence: 99%

Towards a Framework for Noctilucent Cloud Analysis

2019

Self Cite

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“…It should be noted, that NLC describe the variation of the atmospheric layer on spatial horizontal scales, while PMSE observations describe the radar echoes at a given location and their time variation which further complicates the analysis. Using high-power, large-aperture radar for the PMSE observations has the advantage that those radar also measure incoherent scatter in the vicinity of the PMSE an d thus provide information on the ionospheric and dusty plasma conditions [18].…”

Section: Noctilucent Clouds and Polar Mesospehric Summer Echoesmentioning

confidence: 99%

Towards a framework for Noctilucent Cloud Analysis

Sharma¹,

Dalin²,

Mann³

2019

Preprint

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In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitude during summer. We study noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects in the scene, we employ linear discriminant analysis (LDA) with feature vectors ranging from simple metrics to higher-order local autocorrelation (HLAC), and histogram of oriented gradients (HOG). Finally, we propose a Convolutional Neural Networks (CNN) based method for the detection of noctilucent clouds. The results clearly indicate that the CNN based approach outperforms LDA based methods used in this article. Furthermore, we outline suggestions for future research directions to establish a framework that can be used for synchronizing the optical observations from ground based camera systems with echoes measured with radar systems like EISCAT in order to obtain independent additional information on the ice clouds.

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“…A significant fraction of the cosmic dust and meteoroid material that hits the Earth remains in the atmosphere for extended periods of time and is a source of solid dust particles, denoted as meteoric smoke particles (MSPs) (Megner et al, 2006;Rapp et al, 2012). MSPs are formed by an ablation process, whereby meteoroids colliding with atmospheric particles experience strong deceleration and are heated to evaporation temperatures.…”

Section: Introductionmentioning

confidence: 99%

The influence of surface charge on the coalescence of ice and dust particles in the mesosphere and lower thermosphere

et al. 2021

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Abstract. Agglomeration of charged ice and dust particles in the mesosphere and lower thermosphere is studied using a classical electrostatic approach, which is extended to capture the induced polarisation of surface charge. Collision outcomes are predicted whilst varying the particle size, charge, dielectric constant, relative kinetic energy, collision geometry and the coefficient of restitution. In addition to Coulomb forces acting on particles of opposite charge, instances of attraction between particles of the same sign of charge are discussed. These attractive forces are governed by the polarisation of surface charge and can be strong at very small separation distances. In the mesosphere and lower thermosphere, these interactions could also contribute to the formation of stable aggregates and contamination of ice particles through collisions with meteoric smoke particles.

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Radar studies of ionospheric dusty plasma phenomena

Cited by 14 publications

References 46 publications

Towards a Framework for Noctilucent Cloud Analysis

Towards a Framework for Noctilucent Cloud Analysis

Towards a framework for Noctilucent Cloud Analysis

The influence of surface charge on the coalescence of ice and dust particles in the mesosphere and lower thermosphere

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