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Merge branch 'master' of https://github.com/hrmartens/LoadDef
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README.md

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# LoadDef
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A Python-based toolkit to model elastic deformation caused by surface mass loading on spherically symmetric bodies.
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## Attribution:
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The LoadDef software is largely a product of Hilary Martens’s PhD research work at Caltech in collaboration with Mark
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Simons (Caltech) and Luis Rivera (Universite de Strasbourg). We distribute the software free of charge with
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the hope that you may find it useful in your own research and educational pursuits. In the normal scientific
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practice, we kindly request that you recognize the efforts of the authors by citing appropriate peer-reviewed
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papers in presentations and publications (see list below).
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practice, we request that you recognize the efforts of the authors by citing appropriate peer-reviewed
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papers in presentations and publications (see list below) and we welcome invitations for co-authorship.
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### To acknowledge use of this software, please cite the following publication:
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Martens, H.R., Rivera, L., & Simons, M. (2019). LoadDef: A Python-based toolkit to model elastic deformation caused
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by surface mass loading on spherically symmetric bodies. Earth and Space Science, 6. https://doi.org/10.1029/2018ea000462.
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### Additional Request:
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LoadDef took many years of effort to develop and requires ongoing effort to support and maintain.
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If you find LoadDef useful, we kindly request that you consider the option of inviting the lead author (Hilary Martens)
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to participate as a co-author on your work in addition to a citation. Thank you!
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Hilary Martens, University of Montana
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hilary.martens@umontana.edu
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### Additional publications associated with the software that you may find useful:
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Martens, H.R., & M. Simons (2020). A comparison of predicted and observed ocean tidal loading in Alaska. Geophys. J. Int.,
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223(1): 454–470, https://doi.org/10.1093/gji/ggaa323.
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Martens, H.R., Rivera, L., Simons, M., & Ito, T. (2016). The sensitivity of surface mass loading displacement response to
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perturbations in the elastic structure of the crust and mantle. J. Geophys. Res. Solid Earth, 121: 3911–3938.
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https://doi.org/10.1002/2015JB012456.
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Martens, H.R., Simons, M., Owen, S., & Rivera, L. (2016). Observations of ocean tidal load response in South America from
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sub-daily GPS positions. Geophys. J. Int., 205(3): 1637–1664. https://doi.org/10.1093/gji/ggw087.
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If you use LoadDef in a significant way and/or require individualized support, we also kindly request that you consider inviting the first author of LoadDef (Hilary Martens) to participate as a co-author on your publication or presentation. Developing and maintaining LoadDef requires considerable time and effort, and we appreciate the opportunity to participate in projects that take advantage of the LoadDef software. Thank you.
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## Software access and updates:
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For more information, please see:
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The complete and most up-to-date source code is available under the "Code" button above (green button): https://github.com/hrmartens/LoadDef/archive/master.zip.
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Martens, H.R., Rivera, L., & Simons, M. (2019). LoadDef: A Python-based toolkit to model elastic deformation caused by surface mass loading on spherically symmetric bodies. Earth and Space Science, 6. https://doi.org/10.1029/2018ea000462.
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(Older versions of the software can be found by following this link: https://github.com/hrmartens/LoadDef/releases.)
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Martens, H.R., Rivera, L., Simons, M., & Ito, T. (2016). The sensitivity of surface mass loading displacement response to perturbations in the elastic structure of the crust and mantle. J. Geophys. Res. Solid Earth, 121: 3911–3938. https://doi.org/10.1002/2015JB012456.
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## Questions and bugs:
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Martens, H.R., Simons, M., Owen, S., & Rivera, L. (2016). Observations of ocean tidal load response in South America from sub-daily GPS positions. Geophys. J. Int., 205(3): 1637–1664. https://doi.org/10.1093/gji/ggw087.
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Please refer questions and requests for updates to:
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The complete source code is available under the "release" link above, by cloning the repository, or by following this link:
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Hilary Martens, University of Montana
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https://github.com/hrmartens/LoadDef/releases
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hilary.martens@umontana.edu
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working/run_cn.py

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regular = True
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# Load Density
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# Recommended: 1025-1035 for oceanic loads (e.g., FES2014, ECCO2); 1 for atmospheric loads (e.g. ECMWF)
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# Recommended: 1025-1035 kg/m^3 for oceanic loads (e.g., FES2014, ECCO2); 1 kg/m^3 for atmospheric loads (e.g. ECMWF); 1000 kg/m^3 for fresh water
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ldens = 1030.0
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# Ocean/Land Mask

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