Physics
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsm51d..07m&link_type=abstract
American Geophysical Union, Fall Meeting 2006, abstract #SM51D-07
Physics
2134 Interplanetary Magnetic Fields, 2164 Solar Wind Plasma, 2169 Solar Wind Sources, 7863 Turbulence (4490)
Scientific paper
Multipoint measurements with widely ranging spatial separations and well controlled time calibration are required to unravel the space-time structure of MHD scale turbulence, which presents complexity in both domains. We have been addressing these problems using recently developed methods for statistical and correlation analyses of multiple streams of spacecraft data. [see 1,2,3] In particular, to determine the two-point spatial correlation properties of solar wind turbulence near 1 AU, we have been employing datastreams from pairs of spacecraft including ACE, Wind and Cluster. The Wind-AcE datasets have been most useful in establishing the long wavelength values of the direction averaged spatial correlation function, and the correlation (outer) scale. The Cluster data have been essential to evaluate the finer scale correlation function, and to extract the value of the Taylor microscale. The correlation scale is determined to be 1.2 × 106 km, the Taylor scale is 2500 km. [1,2,3]. Here we review the method leading to the above results, and focus in particular on the use of Cluster data at available separations to obtain a stable value for the estimate of the Taylor scale. We plan also to compare these results with single spacecraft determinations of the same quantities using the traditional "frozen in flow" approximation. This research supported by the Cluster project and the Cluster GI program. [1] W H Matthaeus et al, Phys Rev Lett., 95, 231101 (2005) \newline [2] J M Weygand et al, SM01 session, this meeting \newline [3] W H Matthaeus et al, SH05 session, this meeting
Dasso Sergio
Galland Kivelson Margaret
Matthaeus William H.
Smith Walter C.
Weygand James M.
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