Comparison of Heliospheric In Situ Data with the Quasi‐steady Solar Wind Models

2008 ◽  
Vol 674 (2) ◽  
pp. 1158-1166 ◽  
Author(s):  
S. T. Lepri ◽  
S. K. Antiochos ◽  
P. Riley ◽  
L. Zhao ◽  
T. H. Zurbuchen
Keyword(s):  
Solar Wind ◽  
In Situ Data

Solar Wind Interaction With Jupiter's Magnetosphere: A Statistical Study of Galileo In Situ Data and Modeled Upstream Solar Wind Conditions

2019 ◽  
Vol 124 (12) ◽  
pp. 10170-10199 ◽  
Author(s):  
Marissa F. Vogt ◽  
Szilard Gyalay ◽  
Elena A. Kronberg ◽  
Emma J. Bunce ◽  
William S. Kurth ◽  
...  
Keyword(s):  
Solar Wind ◽  
Statistical Study ◽  
Solar Wind Interaction ◽  
In Situ Data ◽  
Upstream Solar Wind

Forecasting the Dst index from L5 in-situ data using PREDSTORM: accuracy and applicability

2020 ◽  
Author(s):  
Rachel Bailey ◽  
Christian Moestl ◽  
Martin Reiss ◽  
Andreas Weiss ◽  
Ute Amerstorfer ◽  
...  
Keyword(s):  
Solar Wind ◽  
High Speed ◽  
Dst Index ◽  
Wind Speeds ◽  
In Situ Data ◽  
L1 Data ◽  
Earth Environment ◽  
Speed Solar Wind ◽  
Using Data

<p>STEREO-B and STEREO-A are both important proxies for potential solar wind monitors at the Sun-Earth L5 point. In this study, measurements from STEREO-B are used to determine how well the Dst index in particular can be predicted using data measured near the L5 point. This is useful for determining the geoeffectivity of storms resulting from high-speed solar wind streams. Observed solar wind speeds are first mapped to the near-Earth environment as if they had been measured at L1, and the Dst is predicted from the data using a solar wind-to-Dst model. We find that Dst predicted from L5 data performs better than a recurrence model assuming the solar wind conditions repeat every 27 days, although not as well as when predicted from L1 data. The newly developed approach is currently implemented in the PREDSTORM software package to provide a real-time Dst forecast using STEREO-A data.</p>

scholarly journals Influence of the CME orientation on the ICME propagation

2021 ◽  
Author(s):  
Karmen Martinić ◽  
Mateja Dumbović ◽  
Bojan Vršnak
Keyword(s):  
Magnetic Field ◽  
Solar Wind ◽  
Weather Forecasting ◽  
Flux Rope ◽  
Meridional Plane ◽  
Space Weather Forecasting ◽  
In Situ Data ◽  
Time Period ◽  
Ambient Solar Wind

<p>Beyond certain distance the ICME propagation becomes mostly governed by the interaction of the ICME and the ambient solar wind. Configuration of the interplanetary magnetic field and features of the related ambient solar wind in the ecliptic and meridional plane are different. Therefore, one can expect that the inclination of the CME flux rope axis i.e. tilt, influences the propagation of the ICME itself. In order to study the relation between the tilt parameter and the ICME propagation we investigated isolated Earth-impacting CME-ICME evets in the time period from 2006. to 2014. We determined the CME tilt in the “near-Sun” environment from the 3D reconstruction of the CME, obtained by the Graduated Cylindrical Shell model using coronagraphic images provided by the STEREO and SOHO missions. We determined the tilt of the ICME in the “near-Earth” environment using in-situ data. We constrained our study to CME-ICME events that show no evidence of rotation while propagating, i.e. have a similar tilt in the “near-Sun” and “near-Earth” environment. We present preliminary results of our study and discuss their implications for space-weather forecasting using the drag-based(ensemble) [DB(E)M] model of heliospheric propagation.</p>

scholarly journals Solar wind dynamics around a comet

2018 ◽  
Vol 620 ◽  
pp. A35 ◽  
Author(s):  
E. Behar ◽  
B. Tabone ◽  
M. Saillenfest ◽  
P. Henri ◽  
J. Deca ◽  
...  
Keyword(s):  
Solar Wind ◽  
Electric Field ◽  
Three Dimensional ◽  
Solar Wind Proton ◽  
In Situ Data ◽  
Collisionless Plasmas ◽  
Rosetta Mission ◽  
Proton Dynamics ◽  
Good Agreement

Aims. We aim at analytically modelling the solar wind proton trajectories during their interaction with a partially ionised cometary atmosphere, not in terms of bulk properties of the flow but in terms of single particle dynamics. Methods. We first derive a generalised gyromotion, in which the electric field is reduced to its motional component. Steady-state is assumed, and simplified models of the cometary density and of the electron fluid are used to express the force experienced by individual solar wind protons during the interaction. Results. A three-dimensional (3D) analytical expression of the gyration of two interacting plasma beams is obtained. Applying it to a comet case, the force on protons is always perpendicular to their velocity and has an amplitude proportional to 1/r2. The solar wind deflection is obtained at any point in space. The resulting picture presents a caustic of intersecting trajectories, and a circular region is found that is completely free of particles. The particles do not lose any kinetic energy and this absence of deceleration, together with the solar wind deflection pattern and the presence of a solar wind ion cavity, is in good agreement with the general results of the Rosetta mission. Conclusions. The qualitative match between the model and the in situ data highlights how dominant the motional electric field is throughout most of the interaction region for the solar wind proton dynamics. The model provides a simple general kinetic description of how momentum is transferred between these two collisionless plasmas. It also shows the potential of this semi-analytical model for a systematic quantitative comparison to the data.

Automatic Detection and Classification of Boundary Crossings in Spacecraft in situ Data

2021 ◽  
Author(s):  
Hannah Ruedisser ◽  
Andreas Windisch ◽  
Ute V. Amerstorfer ◽  
David Píša ◽  
Jan Soucek
Keyword(s):  
Solar Wind ◽  
Solar Wind Plasma ◽  
Interplanetary Shocks ◽  
Boundary Crossings ◽  
In Situ Data ◽  
Planetary Missions ◽  
High Frequency Waves ◽  
Magnetospheric Boundaries

<p>Planetary magnetospheres create multiple sharp boundaries, such as the bow shock, where the solar wind plasma is decelerated and compressed, or the magnetopause, a transition between solar wind field and planetary field.<br />We attempt to use convolutional neural networks (CNNs) to identify magnetospheric boundaries, i.e.  planetary and interplanetary shocks crossings and magnetopause crossings in spacecraft in situ data. The boundaries are identified by a discontinuity in a magnetic field, plasma density, and in the spectrum of high-frequency waves. These measurements are available on many planetary missions. Data from Earth's missions Cluster and THEMIS are used for CNN training. We ultimately strive for successful classification of boundaries (shock, magnetopause, inbound, outbound) and the correct handling of multiple crossings.</p>

scholarly journals Automatic detection of the Earth Bow Shock and Magnetopause from in-situ data with machine learning

2019 ◽  
Author(s):  
Gautier Nguyen ◽  
Nicolas Aunai ◽  
Bayane Michotte de Welle ◽  
Alexis Jeandet ◽  
Dominique Fontaine
Keyword(s):  
Machine Learning ◽  
Solar Wind ◽  
Statistical Analysis ◽  
Double Star ◽  
Bow Shock ◽  
Data Measurement ◽  
In Situ Data ◽  
The Earth ◽  
Selection Of

Abstract. We provide an automatic classification method of the three near-Earth regions, the magnetosphere, the magnetosheath and the solar wind in the streaming in-situ data measurement that outperforms the previous methods of automatic region classification. The method was used to identify 14186 magnetopause crossings and 16192 bow shock crossings in the data of 10 different spacecrafts of the THEMIS, ARTEMIS, Cluster and Double Star missions and for a total of 79 cumulated years. These multi-missions catalogs are non ambiguous and can be automatically enlarged with the increasing quantity of data and their elaboration paves the way for additional massive statistical analysis of the two near-Earth boundaries. The development of these algorithms is a promising step towards their usage for the onboard selection of data of interest.

STORM ICE OIL WIND WAVE WATCH SYSTEM (SIOWS): WEB GIS APPLICATION FOR MONITORING THE ARCTIC

2017 ◽  
Author(s):  
Alexander Myasoedov ◽  
Alexander Myasoedov ◽  
Sergey Azarov ◽  
Sergey Azarov ◽  
Ekaterina Balashova ◽  
...  
Keyword(s):  
Satellite Data ◽  
Wind Wave ◽  
Arctic Region ◽  
Web Gis ◽  
The Arctic ◽  
Flexible Tool ◽  
In Situ Data ◽  
Current State ◽  
Watch System

Working with satellite data, has long been an issue for users which has often prevented from a wider use of these data because of Volume, Access, Format and Data Combination. The purpose of the Storm Ice Oil Wind Wave Watch System (SIOWS) developed at Satellite Oceanography Laboratory (SOLab) is to solve the main issues encountered with satellite data and to provide users with a fast and flexible tool to select and extract data within massive archives that match exactly its needs or interest improving the efficiency of the monitoring system of geophysical conditions in the Arctic. SIOWS - is a Web GIS, designed to display various satellite, model and in situ data, it uses developed at SOLab storing, processing and visualization technologies for operational and archived data. It allows synergistic analysis of both historical data and monitoring of the current state and dynamics of the "ocean-atmosphere-cryosphere" system in the Arctic region, as well as Arctic system forecasting based on thermodynamic models with satellite data assimilation.

scholarly journals Critical Dynamics of Defects and Mechanisms of Damage-Failure Transitions in Fatigue

Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2554
Author(s):  
Oleg Naimark ◽  
Vladimir Oborin ◽  
Mikhail Bannikov ◽  
Dmitry Ledon
Keyword(s):  
Fatigue Damage ◽  
Kinetic Equations ◽  
Experimental Methodology ◽  
Preliminary Deformation ◽  
Scaling Properties ◽  
In Situ Data ◽  
Number Of Cycles ◽  
Fish Eye ◽  
Very High

An experimental methodology was developed for estimating a very high cycle fatigue (VHCF) life of the aluminum alloy AMG-6 subjected to preliminary deformation. The analysis of fatigue damage staging is based on the measurement of elastic modulus decrement according to “in situ” data of nonlinear dynamics of free-end specimen vibrations at the VHCF test. The correlation of fatigue damage staging and fracture surface morphology was studied to establish the scaling properties and kinetic equations for damage localization, “fish-eye” nucleation, and transition to the Paris crack kinetics. These equations, based on empirical parameters related to the structure of the material, allows us to estimate the number of cycles for the nucleation and advance of fatigue crack.

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