Metadata-Version: 1.1
Name: pymsis
Version: 0.2.0
Summary: A Python wrapper around the NRLMSIS model.
Home-page: https://swxtrec.github.io/pymsis/
Author: Greg Lucas
Author-email: greg.lucas@lasp.colorado.edu
License: MIT license
Description: # pymsis: A python wrapper of the NRLMSIS model
        
        Note that the MSIS2 code is not available for commercial use without contacting NRL.
        See the [MSIS2 license file](MSIS2_LICENSE) for explicit details.
        We do not repackage any of the MSIS source code
        in this repository for that reason. However, we do provide utilities to easily download and extract the original source code. By using that code you agree to their terms and conditions.
        
        ## NRL Mass Spectrometer, Incoherent Scatter Radar Extended Model (MSIS)
        
        The [MSIS model](
        https://www.nrl.navy.mil/ssd/branches/7630/modeling-upper-atmosphere) is developed by the Naval Research Laboratory.
        
        ## References
        
        Please acknowledge the University of Colorado Space Weather Technology, Research and Education Center (SWx TREC) and cite the original papers if you make use of this model in a publication.
        
        > Emmert, J. T., Drob, D. P., Picone, J. M., Siskind, D. E., Jones, M., Mlynczak, M. G., et al. (2020). NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities. Earth and Space Science, 7, e2020EA001321. https://doi.org/10.1029/2020EA001321
        
        The Original NRLMSISE-00 paper
        
        > Picone, J. M., Hedin, A. E., Drob, D. P., and Aikin, A. C., NRLMSISE‐00 empirical model of the atmosphere: Statistical comparisons and scientific issues, J. Geophys. Res., 107( A12), 1468, [doi:10.1029/2002JA009430](https://doi.org/10.1029/2002JA009430), 2002.
        
        ## Installation
        
        You can install pymsis from the git repository
        
        ```bash
        pip install git+https://github.com/SWxTREC/pymsis.git
        ```
        
        or to work on it locally, you can clone the repository and use an editable install
        
        ```bash
        git clone https://github.com/SWxTREC/pymsis.git
        pip install -e .
        ```
        
        ### Remote installation
        
        The installation is dependent on access to the NRL source code. If the download fails,
        of you have no internet access you can manually install the Fortran source code as follows.
        
        1. **Download the source code**
        
            The source code is hosted on the NRL's website:
            [https://map.nrl.navy.mil/map/pub/nrl/NRLMSIS/NRLMSIS2.0/](https://map.nrl.navy.mil/map/pub/nrl/NRLMSIS/NRLMSIS2.0/)
            Download the `NRLMSIS2.0.tar.gz` file to your local system.
        
        2. **Extract the source files**
        
            The tar file needs to be extracted to a new `msis2` directory in the base of the pymsis package.
        
            ```bash
            mkdir msis2
            tar -xvzf NRLMSIS2.0.tar.gz -C msis2/
            ```
        
        3. **Install the Python package**
        
            ```bash
            pip install .
            ```
        
Keywords: MSIS2,NRLMSIS
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
