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Estimation and Prediction of Solar Wind Propagation from L1 Point to Earth’s Bow Shock

Tasnim, Samira and Zou, Ying and Borries, Claudia and Baumann, Carsten and Walsh, Brian and Khanal, Krishna and O'Briend, Connor (2023) Estimation and Prediction of Solar Wind Propagation from L1 Point to Earth’s Bow Shock. EGU General Assembly 2023, 2023-04-24 - 2023-04-28, Vienna, Austria. (Unpublished)

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Abstract

Having precise knowledge of the near-Earth solar wind (SW) and the embedded interplanetary magnetic field (IMF) is of critical importance to space weather operation due to the usage of SW and IMF in almost all magnetospheric and ionospheric models. The most widely used data source, OMNI, propagates SW properties from Lagrangian point L1 to the Earth’s bow shock by estimating the propagation time of the SW. However, the time difference between OMNI timeshifted IMF and the best match-up of IMF can reach ˜15 min. Firstly, we aim to develop an improved statistical algorithm to contribute to the SW propagation delay problem of space weather prediction. The algorithm focuses on matching SW features around the L1 point and upstream of the bow shock by computing the variance, cross-correlation coefficient, the plateau-shaped magnitude index, and the non-dimensional measure of average error index between the measurements at the two locations. The obtained propagation times are then compared to OMNI. Factors that limit the OMNI accuracy are also examined. Secondly, the automatic algorithm allows us to generate large sets of input and target variables using multiple spacecraft pairs at L1 and near-Earth locations to train, validate, and test machine learning models to specify and forecast near-Earth SW conditions. Finally, we offer a machine learning (ML) approach to specify and predict the propagation time from L1 monitors to a given location upstream or at the bow shock and forecast near-Earth SW conditions with the gradient boosting and random forest prediction models in the form of an ensemble of decision trees.

Item URL in elib:https://elib.dlr.de/195039/
Document Type:Conference or Workshop Item (Poster)
Title:Estimation and Prediction of Solar Wind Propagation from L1 Point to Earth’s Bow Shock
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Tasnim, SamiraUNSPECIFIEDhttps://orcid.org/0000-0002-0305-2071UNSPECIFIED
Zou, YingUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Borries, ClaudiaUNSPECIFIEDhttps://orcid.org/0000-0001-9948-3353UNSPECIFIED
Baumann, CarstenUNSPECIFIEDhttps://orcid.org/0000-0001-7104-5992UNSPECIFIED
Walsh, BrianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Khanal, KrishnaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
O'Briend, ConnorUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:28 April 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:Solar Wind, propagation delay, machine learning
Event Title:EGU General Assembly 2023
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:24 April 2023
Event End Date:28 April 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Solar-Terrestrial Physics SO
Location: Neustrelitz
Institutes and Institutions:Institute for Solar-Terrestrial Physics > Solar-Terrestrial Coupling Processes
Deposited By: Tasnim, Samira
Deposited On:22 May 2023 14:51
Last Modified:24 Apr 2024 20:55

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