This repository contains introductory training material on climate and weather modelling, focussing on Observation System Simulation Experience (OSSE), based on the article:

Denvil-Sommer, A., Gehlen, M., and Vrac, M.: Observation system simulation experiments in the Atlantic Ocean for enhanced surface ocean pCO2 reconstructions, Ocean Sci., 17, 1011–1030, https://doi.org/10.5194/os-17-1011-2021, 2021.

Base requirements

• Python 3

The instructions below will install the necessary packages

Getting started

1. Clone this repository into a directory, e.g.

   git clone https://github.com/AnnaDSMS/Cambridge-Summer-School-2024

2. Download the data set from:

Denvil-Sommer, A. (2024). Dataset for OSSE exercise at ICCS Summer School 2024 Cambridge [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12567970

It is easiest to download Data_SS.zip and unzip it into the same directory as the code so that the .csv files are alongside the notebook file.

3. To setup the Notebook, we recommend running it in a virtual environment:

   python -m venv venv
   source ./venv/bin/activate
   pip install -r requirements.txt
   

From here you can load the notebook using your favourite mechanism. For example, using Jupyter notebook you can do:

  jupyter notebook

and then choose the SOCAT_20082010_AtlOcean_ADS_05062024.ipynb notebook.