Data for manuscript "Analysis of convective cell development with split and merge events using a graph-based methodology" by Ritvanen et al.
This repository contains data for the manuscript "Analysis of convective cell development with split and merge events using a graph-based methodology" by Ritvanen et al. submitted to Atmospheric Measurement Techniques.
The following data is provided:
cell_graph_database_v20251105.tar: a database dump file containing the database with cell track data
cell_subgraph_data_v20251105.tar: a tar file containing subgraph data for all split and merge events. The file contains daily parquet files for each day in the study period.
numerical_figure_data_v20251105.tar: a tar file containing data files with numerical data used to create the figures in the manuscript.
README_data.md: this file describing the data files.
Description of database file
The database dump was created with the command
bash
pg_dump --no-owner --no-privileges -C --format=t --blobs --verbose --user --file ""
Restoring the database can be done with the commands
bash
createdb -O
pg_restore -vxOW --role= -U -d
Note that this assumes you have PostgreSQL with PostGIS installed and a PostgreSQL user with the given username exists and has permission to create databases.
Description of subgraph data files
The subgraph data tar file contains daily parquet files for each day in the study period. Each parquet file contains subgraph data for all split and merge events that occurred on that day. The columns in the parquet files are:
method: cell tracking method used (only 'opencv_vil_1.0:minArea_10:clusters_0' in this data)
type: type of event ('split', 'merged', 'split-merge')
identifier: identifier of the cell, unique in combination with timestamp and method
t0_node: identifier of the t0 / event node of the subgraph
timestamp: timestamp of the cell
level: level of the cell from the event node (0 = event node, -1 = one timestep before event, 1 = one timestep after event, etc.)
area: area of the cell in km^2
event: sting descriptor of cell tracking status
num_cells_at_level: number of cells at the given level in the subgraph
t0_time: timestamp of the event node
For examples of how to read and use the subgraph data, see the Jupyter notebook notebooks/plot_article_figures.ipynb in the code provided with manuscript
Description of files containing numerical version of figures