Note that cloud-GCHP is still under testing on the main page.

doc/source/index.rst

@@ -19,7 +19,7 @@ How to use this documentation
 
 **For non-GEOS-Chem-users**, this documentation can be used as an introduction to AWS for scientific computing, especially for **Earth science model simulations**. Since all Earth science models are highly similar from a software perspective, it should be quite easy to adapt this guide for you specific use case. More than 90% of this website is about general AWS concepts and tutorials, which doesn't require GEOS-Chem-specific knowledge. Please get a feeling of cloud computing workflow by exploring :doc:`beginner tutorials <./chapter02_beginner-tutorial/index>` and then refer to the :doc:`developer guide <./chapter04_developer-guide/index>` to build your own model. Although cloud computing has a lot of potential in Earth science, it is still significantly under-utilized due to :doc:`the lack of accessible tutorials <./chapter01_overview/external-resources>` for Earth science researchers. This project tries to fill this gap.
 
-For general reference, GEOS-Chem is a `Chemical Transport Model <https://en.wikipedia.org/wiki/Chemical_transport_model>`_ for simulating atmospheric chemical compositions. It has been developed over 20 years and is used by `more than 100 research groups worldwide <http://acmg.seas.harvard.edu/geos/geos_people.html>`_. The program is mainly written in Fortran 90. `All model source code <https://github.com/geoschem>`_ is `distributed freely under the MIT license <http://acmg.seas.harvard.edu/geos/geos_licensing.html>`_. Input and output data formats are mostly NetCDF, which can be analyzed easily by most languages such as Python, R and MATLAB. IDL (Interactive Data Language) has historically been the major data analysis tool but now we embrace open-source tools especially Python, `Jupyter <http://jupyter.org>`_ and `xarray <http://xarray.pydata.org>`_. The classic version of GEOS-Chem uses OpenMP parallelization (shared-memory, multi-threading). `The MPI version of GEOS-Chem <https://www.geosci-model-dev.net/11/2941/2018/gmd-11-2941-2018.html>`_ has also been developed and now also runs on the cloud.
+For general reference, GEOS-Chem is a `Chemical Transport Model <https://en.wikipedia.org/wiki/Chemical_transport_model>`_ for simulating atmospheric chemical compositions. It has been developed over 20 years and is used by `more than 100 research groups worldwide <http://acmg.seas.harvard.edu/geos/geos_people.html>`_. The program is mainly written in Fortran 90. `All model source code <https://github.com/geoschem>`_ is `distributed freely under the MIT license <http://acmg.seas.harvard.edu/geos/geos_licensing.html>`_. Input and output data formats are mostly NetCDF, which can be analyzed easily by most languages such as Python, R and MATLAB. IDL (Interactive Data Language) has historically been the major data analysis tool but now we embrace open-source tools especially Python, `Jupyter <http://jupyter.org>`_ and `xarray <http://xarray.pydata.org>`_. The classic version of GEOS-Chem uses OpenMP parallelization (shared-memory, multi-threading). `The MPI version of GEOS-Chem <https://www.geosci-model-dev.net/11/2941/2018/gmd-11-2941-2018.html>`_ and we are now testing it in a thousand-core cloud-HPC environment.
 
 
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