European Reanalysis Downscaler

The aim of the project is to create a Machine learning (ML) model that can generate high-resolution regional reanalysis data (similar to the one produced by CERRA) by downscaling global reanalysis data from ERA5.

To launch it, first install the package then run deepaas:

git clone https://github.com/jpxkqx/mediterranean_reanalysis_downscaler/reanalysis_downscaler
cd reanalysis_downscaler
pip install -e .
deepaas-run --listen-ip 0.0.0.0

The associated Docker container for this module can be found in https://github.com/jpxkqx/DEEP-OC-reanalysis_downscaler.

Project structure

├── LICENSE
├── README.md              <- The top-level README for developers using this project.
├── data
│   └── raw                <- The original, immutable data dump.
│
├── docs                   <- A default Sphinx project; see sphinx-doc.org for details
│
├── models                 <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks              <- Jupyter notebooks. Naming convention is a number (for ordering),
│                             the creator's initials (if many user development), 
│                             and a short `_` delimited description, e.g.
│                             `1.0-jqp-initial_data_exploration.ipynb`.
│
├── references             <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports                <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures            <- Generated graphics and figures to be used in reporting
│
├── requirements.txt       <- The requirements file for reproducing the analysis environment, e.g.
│                             generated with `pip freeze > requirements.txt`
├── test-requirements.txt  <- The requirements file for the test environment
│
├── setup.py               <- makes project pip installable (pip install -e .) so reanalysis_downscaler can be imported
├── reanalysis_downscaler    <- Source code for use in this project.
│   ├── __init__.py        <- Makes reanalysis_downscaler a Python module
│   │
│   ├── dataset            <- Scripts to download or generate data
│   │   └── make_dataset.py
│   │
│   ├── features           <- Scripts to turn raw data into features for modeling
│   │   └── build_features.py
│   │
│   ├── models             <- Scripts to train models and make predictions
│   │   └── api.py         <- Main script for the integration with DEEP API
│   │
│   ├── tests              <- Scripts to perfrom code testing
│   │
│   └── visualization      <- Scripts to create exploratory and results oriented visualizations
│       └── visualize.py
│
└── tox.ini                <- tox file with settings for running tox; see tox.testrun.org