Global 10 arc-minute resolution grids of the amplitude of the gravity acceleration (gravitational + centrifugal) of the Moon at a constant height. Generated from the spherical harmonic model GRGM1200B (Goossens et al., 2019).
| Summary | |
|---|---|
| File | moon-gravity-10arcmin.nc |
| Size | 2.7 Mb |
| Version | v1 |
| DOI | https://doi.org/10.5281/zenodo.10694319 |
| License | CC-BY |
| MD5 | md5:d4b9c45f9cbfb0ff903816f89cd0edcf |
| SHA256 | sha256:2b38bdd8ef6ef3af301728387a5a1f27f0a028c0dfc867011125065a3d66acf9 |
| Source | Goossens, S., Sabaka, T. J., Wieczorek, M. A., Neumann, G. A., Mazarico, E., Lemoine, F. G., et al. (2020). High‐Resolution Gravity Field Models from GRAIL Data and Implications for Models of the Density Structure of the Moon's Crust. Journal of Geophysical Research: Planets. doi:10.1029/2019je006086 ; NASA's Planetary Geology, Geophysics and Geochemistry Laboratory |
| Original license | public domain |
| Processing code | prepare.ipynb |
These are the changes made to the original dataset.
- Expanded the spherical harmonic model into a grid.
- Replaced the GM, radius, and angular velocity of the model the those from Wieczorek (2015).
- Generate the grid at a constant height of 11 km above the reference lunar sphere to guarantee the data are outside the topographic masses.
This is a place to format and prepare the original dataset for use in our tutorials and documentation.
We include the source code that prepares the datasets for redistribution by
filtering, standardizing, converting coordinates, compressing, etc.
The goal is to make loading the data as easy as possible (e.g., a single call
to pandas.read_csv or xarray.load_dataset).
Whenever possible, the code also downloads the original data (otherwise the
original data are included in this repository).
💡 Tip: The easiest way to download this dataset is using Pooch, particularly to download straight from the DOI of a release.
See our Contributing Guidelines for information on proposing new datasets and making changes to this repository.
All Python source code is made available under the BSD 3-clause license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors.
Unless otherwise specified, all data files and figures created by the code are available under the Creative Commons Attribution 4.0 License (CC-BY).
See LICENSE.txt for the full text of each license.
The license for the original data is specified in this README.md file.