Balancing unevenly distributed data in seismic tomography: a global adjoint tomography example. Ruan, Y., Lei, W., Modrak, R., Örsvuran, R., Bozdağ, E., & Tromp, J. Geophysical Journal International, 219(2):1225–1236, November, 2019. Publisher: Oxford Academic
Paper doi abstract bibtex SUMMARY. The uneven distribution of earthquakes and stations in seismic tomography leads to slower convergence of nonlinear inversions and spatial bias in inve
@article{ruan_balancing_2019,
title = {Balancing unevenly distributed data in seismic tomography: a global adjoint tomography example},
volume = {219},
issn = {0956-540X},
shorttitle = {Balancing unevenly distributed data in seismic tomography},
url = {https://academic-oup-com.proxy2.cl.msu.edu/gji/article/219/2/1225/5542709},
doi = {10.1093/gji/ggz356},
abstract = {SUMMARY. The uneven distribution of earthquakes and stations in seismic tomography leads to slower convergence of nonlinear inversions and spatial bias in inve},
language = {en},
number = {2},
urldate = {2020-06-21},
journal = {Geophysical Journal International},
author = {Ruan, Youyi and Lei, Wenjie and Modrak, Ryan and Örsvuran, Rıdvan and Bozdağ, Ebru and Tromp, Jeroen},
month = nov,
year = {2019},
note = {Publisher: Oxford Academic},
pages = {1225--1236},
}
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