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Deep learning model of hiss waves in the plasmasphere and plumes and their effects on radiation belt electrons

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F23%3A00575968" target="_blank" >RIV/68378289:_____/23:00575968 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.frontiersin.org/articles/10.3389/fspas.2023.1231578/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fspas.2023.1231578/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fspas.2023.1231578" target="_blank" >10.3389/fspas.2023.1231578</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Deep learning model of hiss waves in the plasmasphere and plumes and their effects on radiation belt electrons

  • Popis výsledku v původním jazyce

    Hiss waves play an important role in removing energetic electrons from Earth's radiation belts by precipitating them into the upper atmosphere. Compared to plasmaspheric hiss that has been studied extensively, the evolution and effects of plume hiss are less understood due to the challenge of obtaining their global observations at high cadence. In this study, we use a neural network approach to model the global evolution of both the total electron density and the hiss wave amplitudes in the plasmasphere and plume. After describing the model development, we apply the model to a storm event that occurred on 14 May 2019 and find that the hiss wave amplitude first increased at dawn and then shifted towards dusk, where it was further excited within a narrow region of high density, namely, a plasmaspheric plume. During the recovery phase of the storm, the plume rotated and wrapped around Earth, while the hiss wave amplitude decayed quickly over the nightside. Moreover, we simulated the overall energetic electron evolution during this storm event, and the simulated flux decay rate agrees well with the observations. By separating the modeled plasmaspheric and plume hiss waves, we quantified the effect of plume hiss on energetic electron dynamics. Our simulation demonstrates that, under relatively quiet geomagnetic conditions, the region with plume hiss can vary from L = 4 to 6 and can account for up to an 80% decrease in electron fluxes at hundreds of keV at L > 4 over 3 days. This study highlights the importance of including the dynamic hiss distribution in future simulations of radiation belt electron dynamics.

  • Název v anglickém jazyce

    Deep learning model of hiss waves in the plasmasphere and plumes and their effects on radiation belt electrons

  • Popis výsledku anglicky

    Hiss waves play an important role in removing energetic electrons from Earth's radiation belts by precipitating them into the upper atmosphere. Compared to plasmaspheric hiss that has been studied extensively, the evolution and effects of plume hiss are less understood due to the challenge of obtaining their global observations at high cadence. In this study, we use a neural network approach to model the global evolution of both the total electron density and the hiss wave amplitudes in the plasmasphere and plume. After describing the model development, we apply the model to a storm event that occurred on 14 May 2019 and find that the hiss wave amplitude first increased at dawn and then shifted towards dusk, where it was further excited within a narrow region of high density, namely, a plasmaspheric plume. During the recovery phase of the storm, the plume rotated and wrapped around Earth, while the hiss wave amplitude decayed quickly over the nightside. Moreover, we simulated the overall energetic electron evolution during this storm event, and the simulated flux decay rate agrees well with the observations. By separating the modeled plasmaspheric and plume hiss waves, we quantified the effect of plume hiss on energetic electron dynamics. Our simulation demonstrates that, under relatively quiet geomagnetic conditions, the region with plume hiss can vary from L = 4 to 6 and can account for up to an 80% decrease in electron fluxes at hundreds of keV at L > 4 over 3 days. This study highlights the importance of including the dynamic hiss distribution in future simulations of radiation belt electron dynamics.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10305 - Fluids and plasma physics (including surface physics)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Frontiers in Astronomy and Space Sciences

  • ISSN

    2296-987X

  • e-ISSN

    2296-987X

  • Svazek periodika

    10

  • Číslo periodika v rámci svazku

    Aug.

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    12

  • Strana od-do

    1231578

  • Kód UT WoS článku

    001062474200001

  • EID výsledku v databázi Scopus

    2-s2.0-85169904466