The use cases below provide demonstrations on how to use various types of earth observation data in combination with the atmospheric toolbox and atmosphere virtual lab.
All use cases have been created by making use of jupyter notebooks and can be run locally.
A download link to each notebook is provided at the bottom of a use case.
To be able to execute the notebook you will need to setup a conda environment using the generic environment.yml file.
You can create the conda environment using conda env create -f environment.yml followed by conda activate avl.
Reading TROPOMI SO2 data using HARP
In this tutorial we will demonstrate basic data reading and plotting procedures using TROPOMI SO2 observatons. We use observations that were obtained during the explosive eruption of La Soufriere volcano in the Caribbean in April 2021. The eruption released large amounts of SO2 into the atmosphere, resulting extensive volcanic SO2 plumes that were transported long distances.
Creating L3 data with HARP from S5P L2 UVAI files
This use case demonstrates how to create a gridded level 3 netcdf file from multiple level 2 TROPOMI UV Aerosol Index (UVAI) files. The case is demonstrated with an extensive smoke plume from wildfires in Siberia, Russia, on 6th of August 2021.
Comparison of OMI and TROPOMI spatial resolution
This use case compares the spatial resolution of the Ozone Monitoring Instrument (OMI) and the TROPOspheric Monitoring Instrument nitrogen dioxide (NO2) observations.
Temporally averaged Level 3 data from TROPOMI L2
This use case demonstrates how to create a gridded and temporally averaged level 3 data from several level 2 TROPOMI/S5P NO2 files.
Reading Aeolus wind profile data with HARP
This use case demonstrates the use of `HARP` for reading and plotting wind profile data from Aeolus.
Demonstrating new plotting functions in AVL
This notebook demonstrates the new plotting functionalities in the atmospheric-virtual-lab (avl) module.
Methane plumes observed by TROPOMI
This example case focuses on detecting methane (CH4) plumes from oil/gas production in Turkmenistan using TROPOMI data.
Demonstration of QDOAS and BeAMF
This use case demonstrates the use of QDOAS to perform DOAS retrievals of trace gases from spectral measurements and BeAMF to calculate the Air Mass Factor (AMF) to make the conversion from trace gas slant column density (SCD) to vertical column density (VCD) for formaldehyde (HCHO) vertical column density from TROPOMI (S5P) L1B data.
Long-range transport of aerosols over the Atlantic
During summer 2023 there were several major aerosol long-range transport episodes over the Northern Atlantic. This notebook demonstrates how these episodes can be analysed and identified using observations from TROPOMI.