Magnetopause location modeling using machine learning: inaccuracy due to solar wind parameter propagation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F24%3A00586577" target="_blank" >RIV/68378289:_____/24:00586577 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/24:10484599

Result on the web

<a href="https://www.frontiersin.org/articles/10.3389/fspas.2024.1390427/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fspas.2024.1390427/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fspas.2024.1390427" target="_blank" >10.3389/fspas.2024.1390427</a>

Result language

angličtina

Original language name

Magnetopause location modeling using machine learning: inaccuracy due to solar wind parameter propagation

Original language description

An intrinsic limitation of empirical models of the magnetopause location is a predefined magnetopause shape and assumed functional dependences on relevant parameters. We overcome this limitation using a machine learning approach (artificial neural networks), allowing us to incorporate general, purely data-driven dependences. For the training and testing of the developed neural network model, a data set of about 15,000 magnetopause crossings identified in the THEMIS A-E, Magion 4, Geotail, and Interball-1 satellite data in the subsolar region is used. A cylindrical symmetry around the direction of the impinging solar wind is assumed, and solar wind dynamic pressure, interplanetary magnetic field magnitude, cone angle, clock angle, tilt angle, and corrected Dst index are considered as parameters. The effect of these parameters on the magnetopause location is revealed. The performance of the developed model is compared with other empirical magnetopause models. Finally, we demonstrate and discuss the inaccuracy of magnetopause models due to the inaccurate information about the impinging solar wind parameters based on measurements near the L1 point. This inaccuracy imposes a theoretical limit on the precision of magnetopause predictions, a limit that our model closely approaches.

Czech name

—

Czech description

—

Type

J_imp - 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)

Project

<a href="/en/project/GA21-26463S" target="_blank" >GA21-26463S: Magnetopause processes, their drivers and consequences</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

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

Name of the periodical

Frontiers in Astronomy and Space Sciences

ISSN

2296-987X

e-ISSN

2296-987X

Volume of the periodical

11

Issue of the periodical within the volume

May

Country of publishing house

CH - SWITZERLAND

Number of pages

11

Pages from-to

1390427

UT code for WoS article

001233399900001

EID of the result in the Scopus database

2-s2.0-85194891924