All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the eliophysics System Observatory

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F17%3A00479390" target="_blank" >RIV/68378289:_____/17:00479390 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1002/2017SW001614" target="_blank" >http://dx.doi.org/10.1002/2017SW001614</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/2017SW001614" target="_blank" >10.1002/2017SW001614</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the eliophysics System Observatory

  • Original language description

    We present an advance toward accurately predicting the arrivals of coronal mass ejections (CMEs) at the terrestrial planets, including Earth. For the first time, we are able to assess a CME prediction model using data over two thirds of a solar cycle of observations with the Heliophysics System Observatory. We validate modeling results of 1337 CMEs observed with the Solar Terrestrial Relations Observatory (STEREO) heliospheric imagers (HI) (science data) from 8 years of observations by five in situ observing spacecraft. We use the self-similar expansion model for CME fronts assuming 60° longitudinal width, constant speed, and constant propagation direction. With these assumptions we find that 23%–35% of all CMEs that were predicted to hit a certain spacecraft lead to clear in situ signatures, so that for one correct prediction, two to three false alarms would have been issued. In addition, we find that the prediction accuracy does not degrade with the HI longitudinal separation from Earth. Predicted arrival times are on average within 2.6 ± 16.6 h difference of the in situ arrival time, similar to analytical and numerical modeling, and a true skill statistic of 0.21. We also discuss various factors that may improve the accuracy of space weather forecasting using wide-angle heliospheric imager observations. These results form a first-order approximated baseline of the prediction accuracy that is possible with HI and other methods used for data by an operational space weather mission at the Sun-Earth L5 point.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10305 - Fluids and plasma physics (including surface physics)

Result continuities

  • Project

    <a href="/en/project/GJ17-06818Y" target="_blank" >GJ17-06818Y: Heliospheric remote sensing and in situ observations applicable to space weather forecasting</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Space Weather

  • ISSN

    1542-7390

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    955-970

  • UT code for WoS article

    000407927800009

  • EID of the result in the Scopus database

    2-s2.0-85026490376