The advantages of COMPLOC include: 1. The grid search approach allows application of more-robust norms than least squares, which are less sensitive to gross picking or timing errors. 2. The input 1-D velocity model is parameterized in terms of continuous gradients between depth points rather than being restricted to "layer cake" models with constant velocity layers. 3. Large data sets can be rapidly input using the binary BED3 option. However, ASCII STP and HYPOINVERSE phase formats also are supported. 4. The shrinking-box source-specific station term (SSST) method (Lin and Shearer 2005) greatly improves the relative location accuracy among nearby events. It achieves results comparable to the double-difference method but runs faster for large data sets. The limitations of COMPLOC include: 1. Starting location estimates must be provided. 2. The current release does not permit use of waveform cross-correlation differential times. The initial and future releases of the COMPLOC package are available at: http://igpphome.ucsd.edu/~glin/COMPLOC.
ASJC Scopus subject areas