Near-Surface Flow Fields Deduced Using Correlation Tracking and Time-Distance Analyses |
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| Authors: | De Rosa Marc Duvall TL Toomre Juri |
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| Institution: | (1) JILA and Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, CO , 80309-0440, , U.S.A.;(2) Laboratory for Astronomy and Solar Physics, NASA/Goddard Space Flight Center, Greenbelt, MD , 20771, , U.S.A.;(3) JILA and Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, CO , 80309-0440, , U.S.A. |
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| Abstract: | Near-photospheric flow fields on the Sun are deduced using two independent methods applied to the same time series of velocity images observed by SOI-MDI on SOHO. Differences in travel times between f modes entering and leaving each pixel measured using time-distance helioseismology are used to determine sites of supergranular outflows. Alternatively, correlation tracking analysis of mesogranular scales of motion applied to the same time series is used to deduce the near-surface flow field. These two approaches provide the means to assess the patterns and evolution of horizontal flows on supergranular scales even near disk center, which is not feasible with direct line-of-sight Doppler measurements. We find that the locations of the supergranular outflows seen in flow fields generated from correlation tracking coincide well with the locations of the outflows determined from the time-distance analysis, with a mean correlation coefficient after smoothing of
s=0.890. Near-surface velocity field measurements can be used to study the evolution of the supergranular network, as merging and splitting events are observed to occur in these images. The data consist of one 2048-min time series of high-resolution (0.6 pixels) line-of-sight velocity images taken by MDI on 1997 January 16 –18 at a cadence of one minute. |
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