Spacecraft are the primary means to explore the Earth's space environment. Multi-spacecraft missions such as Cluster and Themis have significantly advanced our understanding of geospace as a complex physical system. Special data analysis techniques are required to study large scale current systems, plasma waves and boundaries. The forthcoming three-satellite LEO mission Swarm will be operated as a geomagnetic observatory in space and address the spatiotemporal variability of current systems in the auroral zone.
In-situ observations of single-spacecraft missions in the magnetosphere and the solar wind do not allow for an unambiguous interpretation of the data in terms of spatial, temporal, or spatiotemporal variability. Multi-spacecraft missions such as ESA's four Cluster satellites (launched in the year 2000) allow for a much more complete understanding of the complex plasma processes in geospace. In the years 1996-1998, an international team supported by ISSI tailored array analysis techniques to the specifics of the Cluster mission, see the first volume SR-001 of the ISSI Scientific Report Series. In this context Vogt and Paschmann (1998) studied the accuracy of plasma moment derivative estimates. The wave surveyor technique, a fast method for wave vector identification, was introduced by Vogt et al. (2008a). The concept of reciprocal vectors was reviewed and generalized to missions of more than four spacecraft by Vogt et al. (2008b). Planar reciprocal vectors for three-spacecraft missions were introduced by Vogt et al. (2009).
The following two workshops on analysis methods for multi-spacecraft data were part of the series of Capacity Building Workshops (CBWs) initiated by the Committee on Space Research (COSPAR).
Vogt, J., A. Albert, and O. Marghitu (2009), Analysis of three-spacecraft data using planar reciprocal vectors: methodological framework and spatial gradient estimation, Ann. Geophys. 27, 3249-3273.
Vogt, J., Y. Narita, and O.D. Constantinescu (2008a), The wave surveyor technique for fast plasma wave detection in multi-spacecraft data, Ann. Geophys. 26, 1699-1710.
Vogt, J., G. Paschmann, and G. Chanteur (2008b), Reciprocal Vectors, chapter~4 of the ISSI Scientific Report SR-008 entitled Multi-Spacecraft Analysis MethodsRevisited by G. Paschmann and P.W. Daly (eds.).
Glassmeier, K.-H., et al. -- 18 authors incl. J. Vogt (2008), Magnetospheric quasi-static response to the dynamic magnetosheath: A Themis case study, Geophys. Res. Lett. 35, L17S01, doi:10.1029/2008GL033469.
Glassmeier, K.-H., U. Motschmann, M. Dunlop, A. Balogh, M. H. Acuna, C. Carr, G. Musmann, K.-H. Fornacon, K. Schweda, J. Vogt, E. Georgescu, and S. Buchert (2001), Cluster as a wave telescope, Ann. Geophys. 19, 1439-1447.
Vogt, J., and G. Paschmann (1998), Accuracy of plasma moment derivatives, chapter 17 of the ISSI Scientific Report SR-001 entitled Analysis Methods for Multi-Spacecraft Data by G. Paschmann and P. Daly (eds.).
Albert, Adrian (2009), Three-point gradient estimation using planar reciprocal vectors M.Sc. thesis at Jacobs University Bremen.
Stroe, Andra (2009), Multipoint Analysis of Local Magnetohydrostatic Equilibria in the Earth's Magnetotail using Cluster II data B.Sc. thesis at Jacobs University Bremen.
Dabrowski, Peter (2004), Cluster II - Surveying Earth's Magnetosphere B.Sc. thesis at Jacobs University Bremen.