LTPy - Learning tool for Python on Atmospheric Composition Data is a Python-based training course on Atmospheric Composition Data. The training course covers modules on
data handling and processing,
data visualisation as well as
case studies of satellite- and model-based data on Atmospheric Composition.
The course is based on Jupyter notebooks, which allow for a high-level of interactive learning, as code, text description and visualisation is combined in one place. If you have not worked with
Jupyter Notebooks before, you can look at the module 01 - Introduction to Python and Project Jupyter to get a short introduction to Jupyter notebooks and their benefits.
This course features the following data:
AC SAF GOME-2 Level-2data onboard of Metop-A and Metop-B satellites
AC SAF GOME-2 Level-3 reprocessed and regridded data
GOME-2 Level-2 Polar Multi-Sensor Aerosol Optical Properties (PMAp) data onboard of Metop-A and Metop-B satellites
IASI Level-2 data onboard of Metop-A and Metop-B satellites
Copernicus Sentinel-3 OLCIdata
Copernicus Sentinel-3 SLSTR NRT FRPdata
Copernicus Atmosphere Monitoring Service (CAMS)data
The course follows a modular approach and offers the following modules:
NOTE: Throughout the course, general functions to
visualize the datasets are defined. These functions are re-used when applicable. The LTPy functions notebook gives you an overview of all the functions defined and used for the course.
The course is designed for
medium-level users, who have basic Python knowledge and understanding of Atmospheric composition data.
After the course, you should have:
The course material is made available on a JupyterHub instance, a pre-defined environment that give learners direct access to the data and Python packages required for following the course.
JupyterHub can be accessed as follows:
In case you wish to reproduce the course modules on your local setup, the following Python version and Python packages will be required:
Python packages can be installed with
conda install <python_package_name> or
pip install <python_pacakage_name>.