Tales Of Dry Lands

Understanding drought events on Earth through a series of drought stories.

Getting Started

1. Clone the repository:

   git clone https://github.com/ECMWFCode4Earth/tales-of-drought.git
   cd tales-of-drought

Project structure

tales-of-drought/
│ ├── handbook/ # Jupyter book with notebooks for analysis
│ ├── chapters
│ │ ├── 01-climate-toolkit-for-beginners
│ │ ├── 02-drought-focus
│ │ ├── 03-get-data
│ │ ├── 04-set-up-env
│ │ ├── 05-notebook-time-machine
│ │ │ ├── notebook-time-machine.ipynb
│ │ │ ├── notebook-mapping-current-global-drought-events.ipynb
│ │ │ └── notebook-focus-madagascar.ipynb
│ │ ├── 06-notebook-quantum-of-drought
│ │ │ └── notebook-quantum-of-drought.ipynb
│ │ ├── 07-notebook-solving-puzzle
│ │ │ └── notebook-solving-puzzle.ipynb
│ │ └── shared
│ ├── images # images related to the handbook
│ └── credits-license.md
├── images/ # images related to the project
├── requirements.txt # Required Python packages
├── README.md # Project overview and instructions
└── LICENSE # Project license

The key notebooks include:

notebook-time-machine.ipynb: recognize drought events around the world and over time. notebook-mapping-current-global-drought-events.ipynb: identify current drought events. notebook-focus-madagascar.ipynb: monitor drought in Madagascar. notebook-quantum-of-drought.ipynb: quantify the severity and anomalies of drought events. notebook-solving-puzzle.ipynb: identify and exploring the primary drivers of drought conditions.

License

This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.

Acknowledgments

Data from the ERA5-DROUGHT, which is derived from the ERA5 reanalysis provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Open-source Python libraries that make data analysis and visualization easy and accessible.