Merge branch 'master' of https://github.com/JiaweiZhuang/cloud_GC

doc/source/chapter04_developer-guide/share-ami.rst

@@ -15,7 +15,7 @@ Give your AMI a meaningful name, edit "Image description" as you like. and then
 
 .. figure:: img/config-ami.png
 
-AMI creation can take a while. For this small one it will take several minutes; bigger ones might take an hour. You will final see the new AMI in EC2 console:
+AMI creation can take a while. For this small one it will take several minutes; bigger ones might take an hour. You will finally see the new AMI in EC2 console:
 
 .. figure:: img/ami-permission.png
   :width: 550px
@@ -26,4 +26,4 @@ An :ref:`EBS snapshot <ebs-snap-label>` is also created automatically to host th
 
 .. figure:: img/ebs-snap-for-ami.png
 
-That's all you need to know about AMIs. AMIs are convenient for infrequent build. If you need to update software constantly, consider containers instead.
+That's all you need to know about AMIs. AMIs are convenient for infrequent build. If you need to update software constantly, consider containers instead.

doc/source/index.rst

@@ -15,7 +15,7 @@ This project is supported by the `AWS Public Data Set Program <https://aws.amazo
 How to use this documentation
 -----------------------------
 
-**For GEOS-Chem users**, this website contains everything you need in order to use GEOS-Chem on the cloud. You will be able to finish a complete research workflow, from model simulations to output data analysis and management. **If it is your first time trying GEOS-Chem, this project is perhaps your best starting point**, because :ref:`you don't need to do any initial setup <motivation-label>` and the model is guaranteed to work correctly (see :ref:`quick start guide <quick-start-label>`). For more all details about the GEOS-Chem model itself, please refer to our comprehensive `user guide <http://acmg.seas.harvard.edu/geos/doc/man/>`_ and `wiki <http://wiki.seas.harvard.edu/geos-chem/index.php/Main_Page>`_.
+**For GEOS-Chem users**, this website contains everything you need in order to use GEOS-Chem on the cloud. You will be able to finish a complete research workflow, from model simulations to output data analysis and management. **If it is your first time trying GEOS-Chem, this project is perhaps your best starting point**, because :ref:`you don't need to do any initial setup <motivation-label>` and the model is guaranteed to work correctly (see :ref:`quick start guide <quick-start-label>`). For more details about the GEOS-Chem model itself, please refer to our comprehensive `user guide <http://acmg.seas.harvard.edu/geos/doc/man/>`_ and `wiki <http://wiki.seas.harvard.edu/geos-chem/index.php/Main_Page>`_.
 
 **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.
 
@@ -33,4 +33,4 @@ Table of Contents
    chapter03_advanced-tutorial/index
    chapter04_developer-guide/index
    chapter05_aws-in-detail/index
-   chapter06_appendix/index
+   chapter06_appendix/index

scripts/README.md

@@ -26,7 +26,7 @@ Can automate this by [AWSCLI command](https://cloud-gc.readthedocs.io/en/latest/
 
 6. Install Anaconda python environment. See [./build_environment/python](./build_environment/python)
 
-7. Run [sample Python code](https://cloud-gc.readthedocs.io/en/latest/chapter06_appendix/sample-python-code.html) on output data.
+7. Run [sample Python code](https://cloud-gc.readthedocs.io/en/latest/chapter06_appendix/) on output data.
 
 8. **Clean-up history** (see [./minor_util/clean_history.sh](./minor_util/clean_history.sh)). Save AMI. Change AMI permission to public.