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# simons-science-school-2024 # Simons Science School Sep 2024, University of Vienna
Author: Aiko Voigt, IMG, University of Vienna, aiko.voigt-at-univie.ac.at
The git repo shows how to work with ERA5 climate reanalysis data. In particular, it demonstrates how to calculate the time evolution of annual-mean temperature in Vienna over the last decades. One important hope is to covince you that climate data is open and can be used and analyzed by anyone with access to the internet and a laptop, tablet or desktop computer - and of course an interest in topic.
## Getting started The calculation is in Python, which is a state-of-the-art tool for data science. You will need to become familiar with the tool, yet again the git repo might be an ideal first motivation for this.
To make it easy for you to get started with GitLab, here's a list of recommended next steps. The setup of the Python environment is explained below. The Jupyter notebook with the calculation is called era5-vienna.ipynb.
Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)! In general, Google - or any search enginge or AI tool - is your friend: there is tons of information online. I do hope you enjoy, so have fun!
## Add your files Script was developed and run on the IMG Jet cluster JupyterHub. Use 4 Cores with 40GB RAM to make sure to have enough memory.
- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files Credits:
- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command: * Much of the code is based on the ERA5 interactive cookbook of Projet Pythia: https://projectpythia.org/ERA5_interactive-cookbook/README.html.
* I am using the Google Cloud version of ERA5: https://github.com/google-research/arco-era5.
``` ## Python environment and kernel
cd existing_repo
git remote add origin https://gitlab.phaidra.org/climate/simons-science-school-2024.git
git branch -M main
git push -uf origin main
```
## Integrate with your tools
- [ ] [Set up project integrations](https://gitlab.phaidra.org/climate/simons-science-school-2024/-/settings/integrations)
## Collaborate with your team
- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
- [ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
## Test and Deploy
Use the built-in continuous integration in GitLab.
- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
***
# Editing this README
When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
## Suggestions for a good README
Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
## Name Assume we are working on the IMG jet cluster and that micromamba is installed. We are installing the same environment as is used by the ERA5 interactive cookbook of Projet Pythia.
Choose a self-explaining name for your project.
## Description ```
Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors. git clone https://github.com/ProjectPythia/ERA5_interactive-cookbook.git
cd ERA5_interactive-cookbook/
## Badges micromamba create -f environment.yml
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge. ```
## Visuals
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
## Installation
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
## Usage
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
## Support
Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
## Roadmap
If you have ideas for releases in the future, it is a good idea to list them in the README.
## Contributing
State if you are open to contributions and what your requirements are for accepting them.
For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
## Authors and acknowledgment This will create the ERA5-interactive environment, located in `~/micromamba/envs/ERA5_interactive/`. We then build a python kernel to be used in JupyterHub.
Show your appreciation to those who have contributed to the project.
## License ```
For open source projects, say how it is licensed. ~/micromamba/envs/ERA5_interactive/bin/python3 -m ipykernel install --user --name=ERA5_interactive
```
## Project status The kernel is located in `~/.local/share/jupyter/kernels/era5_interactive`.
If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers. \ No newline at end of file
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