Project SHEBA

This repository contains code used to reproduce figures for the Paper: Following moist intrusions into the Arctic using SHEBA observations in a Lagrangian perspective DOI:10.1002/qj.3859. The notebooks are also available in read format and can be viewed here on GitHub.

Set Up

• In order to re-run the code, the user must download the trajectory data used in this study, the IGRA dataset version2 and the SHEBA radiosonde data and change the path to these datasets accordingly in the code.
• Before proceeding further install anaconda if it isn't already installed. Users can also install miniconda if they don't want to install all the packages that comes with anaconda.
• On the termial execute conda env create -f work_environment_journal.yml to install the packages used in this study from work_environment_journal.yml provided here.

Cloudy vs Clear state trajectories

Traj_cloudy_vs_clear_v_journal.ipynb file contains the figure used to compare all the trajectories for clear vs cloudy states.

Cloudy state profiles

All_cloudy_profiles file contains the figures used to show cloudy state analysis

Clear state profiles

all_clear_profiles file contains the figures used for clear state analysis

Forward trajectory profile

Plot_forward_journal2.ipynb contains the figures used for forward trajectory analysis

Important modules

• traj_check.py checks if a given trajectory is passing through a given observation station. Prerequiste: Path to IGR_25N_v2.xlsx file to function

• sounding_finder.py reads IGRA data-set from a particular station and for a particular date and returns it as a Pandas dataframe. Prerequiste: It requires the user to first download the IGRA v2 dataset separately. In this function change the path (line 31 and line 75) to dir where IGRA dataset is stored before using.