
This dataset includes the model files for the California-Nevada Adjoint Simulations (CANVAS) adjoint waveform tomography model. The model is provided in NetCDF format. The HDF5 file provided is for importing the model into Salvus (Afanasiev et al., 2019; mondaic.com) An EventXML file is also provided with information on the events used to calculate the model. Information on the construction of the model can be found in the accompanying publication: Doody, C., Rodgers, A., Afanasiev, M., Boehm, C., Krischer, L., Chiang, A., & Simmons, N. (2023). CANVAS: An adjoint waveform tomography model of California and Nevada. Journal of Geophysical Research: Solid Earth, 128(12). https://doi.org/10.1029/2023JB027583 This effort was support by Lawrence Livermore National Laboratory's Laboratory Directed Research and Development project 20-ERD-008. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-MI-856789
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
