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Science & Technology
Crossings and Techniques - Cluster Science Archive
BOW SHOCK CROSSINGS BY All 4 Cluster SPACECRAFT (2001-2013)
The terrestrial bow shock provides us with a unique opportunity to extensively investigate properties of collisionless shocks using in situ measurements under a wide range of upstream conditions. Published 13 February 2019, O. Kruparova et al. reported in JGR Space Physics, a statistical study of 529 terrestrial bow shock crossings observed between years 2001 and 2013 by the four Cluster spacecraft. This bow shock list (in JSON format; change the suffix to view) with retrieved speeds and normals are provided in this publication as an Auxiliary material, that can be used for further investigation by the community. This list will eventually be made available through the Cluster Science Archive.
Kruparova, O., Krupar, V., Šafránková, J., Němeček, Z., Maksimovic, M., Santolik, O., et al. (2019). Statistical survey of the terrestrial bow shock observed by the Cluster spacecraft. Journal of Geophysical Research: Space Physics, 124, 1539–1547. https://doi.org/10.1029/2018JA026272
MAGNETOPAUSE CROSSINGS BY CLUSTER 3 (2001-2009)
This list of magnetopause crossings by Cluster 3 is the result of a combined effort from Karlheinz Trattner, Steven Petrinec and Stephen Fuselier. It is a CSV type file containing the position of the Cluster 3 spacecraft in GSM coordinates, the ion density and velocity measured locally by its CIS/HIA ion detector plus the three components of the IMF in GSM coordinates. This list will be made available eventually through the Cluster Science Archive, meanwhile you can download it in CSV format.
TAIL region and Boundary IDENTIFICATION (2001-2009)
European Cluster Assimilation Technology (ECLAT)
The aim of this EU funded project was to provide contextual observations from space- and ground-based observatories and physics-based modelling in support of the European Space Agency’s Cluster magnetospheric science mission. Various original datasets have been produced, including Tail region and boundary identification based on data collected between 2001 and 2009. The ECLAT data are distributed to the scientific community only through the Cluster Science Archive. Full documentation: here (see Other Documentation section)
Multi-Spacecraft Analysis Techniques
Technical Notes
The technical note below describes the curlometer technique - a method to estimate the current density within the space formed by the tetrahedron of Cluster. It includes step-by-step explanations and calculations and code in Python for estimating the current density from five vectors-per-second (5VPS) FGM magnetic field data.
This is the first technical note of a series, applying multi-spacecraft analysis techniques - helping you get the most out of Cluster data.
ISSI Books
Analysis Methods for Multi-Spacecraft Data