$${color{red} This space repository space is space deprecated space and space unmaintained}$$

plot_profile

plot_profile is a Python-based command line tool to retrieve and visualise both observational data as well as variables simulated with ICON

Content

• plot_profile
  • Installation
  • Usage
    • Most important options
    • plot_rs
    • plot_profiles
    • plot_timeseries
    • plot_icon_profiles
    • plot_icon_heatmap
  • Credits

Installation

1. git clone https://github.com/MeteoSwiss-APN/plot_profile.git
2. conda activate base
3. conda install pip
4. conda deactivate
5. module load python
6. cd plot_profile
7. make venv install-dev (or just: install)

Usage

This package only works on tsa, where access to the DWH is possible. The package expects hourly output files in netcdf-format in a folder with the name corresponding to the init-time of the simulation, YYMMDDHH. The filenames need to follow the MeteoSwiss-style convention: lfffDDHHMMSS.nc (e.g. lfff00010000.nc corresponds to a model leadtime of +1h).

First activate the conda environment: conda activate plot_profile.

The available entrypoints of the package can be displayed with: plot_profile -h. The available stations can be listed with: plot_profile --stations. The available variables can be listed with: plot_profile --variables.

Further down you find example commands and corresponding graphs for each entrypoint.

Most important options

• date: Init or valid date. -> YYMMDDHH, except for radiosounding plots which include the full year.
• add_obs: Observation, 2 arguments -> device, variable.
• add_model: Simulated variable, 3 arguments -> model, variable, identifier.
• model_src: Information about model -> identifier, folder, YYMMDDHH of simulation init.
• height_src: File containing HEIGHT/HHL -> identifier, full path.
• height_file: File containing HEIGHT/HHL -> full path.
• colours: Matplotlib colour name -> one colour for each line, ordering does not necessarily follow user input.
• xmin, xmax, ymin, ymax: Min and max values for x- and y-axis.

plot_rs

Plot radiosoundings

plot_rs --date 2021111912 --params temp --params dewp_temp --alt_top 2500

plot_rs --date 2022011112 --params temp --clouds --relhum_thresh 95 --grid

plot_rs --date 2022041912 --params temp --params dewp_temp --params wind_vel --params wind_dir

plot_rs --date 2017101602 --params temp --params dewp_temp --loc inn

plot_profiles

Compare vertical profiles of e.g. temperature measured by radiosounding and simulated by model for 1 specific leadtime. exp and ref serve as identifiers to connect an add_model-statement to the model_src.

• add_model: model variable identifier
• model_src: identifier path date

plot_profiles --loc ifl --date 19091312 --add_model icon temp ref --add_model icon qv ref --model_src ref /store/s83/swester/teamx/tdf_2019091212/output/ 19091212 --height_src ref /store/s83/swester/teamx/tdf_2019091212/output/19091212/lfff00000000c.nc

plot_profiles --loc pay --date 21111900 --add_obs rs temp --add_model icon temp ref --add_model icon temp exp --model_src ref /scratch/swester/output_icon/ICON-1/ 21111812 --model_src exp /scratch/swester/output_icon/exp1/ 21111812

plot_timeseries

Timeseries of 1 or multiple observed and/or modelled variables. The selected variables overall may not have more than 2 differing units.

! start of variables which are accumulated in ICON (radiation, precip) always has to match the init-date of the simulation

plot_timeseries --loc ulr --start 19091212 --end 19091318 --add_obs 2m sw_down --add_model icon sw_down 1 exp --model_src exp /store/s83/swester/teamx/tdf_2019091212/output/ 19091212 --height_file /store/s83/swester/teamx/tdf_2019091212/output/19091212/lfff00000000c.nc

plot_timeseries --loc pay --start 21111900 --end 21111912 --add_obs 2m ver_vis --add_obs 2m cbh

plot_timeseries --loc pay --start 21111900 --end 21111906 --add_model icon temp 1 ref --add_model icon temp 1 exp --add_obs 10m_tower temp --model_src ref /scratch/swester/output_icon/ICON-1/ 21111812 --model_src exp /scratch/swester/output_icon/exp1/ 21111812

plot_icon_profiles

Plot profiles of 1 variable for multiple leadtimes. Option to add observations of the same variable for times where they are available. It is possible to plot 2 different variables in 1 graph. If more than 2 variables are specified, 3 separate plots are created.

plot_icon_profiles --date 17101512 --folder /store/s83/swester/teamx/cap_2017101512/output/ --var temp --leadtime 6 --leadtime 8 --leadtime 10 --leadtime 12 --leadtime 14 --height_file /store/s83/swester/teamx/cap_2017101512/output/17101512/lfff00000000c.nc --loc ifl

plot_icon_profiles --date 21111812 --folder /scratch/swester/output_icon/ICON-1/ --var qc --var qc_dia --leadtime 18 --loc pay

plot_icon_profiles --date 21111012 --folder /scratch/swester/output_icon/ICON-1/ --var qv --var temp --var qc --leadtime 12 --leadtime 13 --loc gre

plot_icon_heatmap

Plot heatmaps (also called "time-height-crosssections") of modelled 3D variables. Optionally add cloud base height measured by ceilometers.

! for some reason currently not understood the start_leadtime is not correctly used on the x-axis, always use --start_leadtime 0

plot_icon_heatmap --date 17101512 --folder /store/s83/swester/teamx/cap_2017101512/output/ --var temp --alt_top 2500 --start_leadtime 0 --end_leadtime 18 --loc ifl --height_file /store/s83/swester/teamx/cap_2017101512/output/17101512/lfff00000000c.nc

plot_icon_heatmap --date 21111812 --folder /scratch/swester/output_icon/ICON-1/ --var temp --alt_top 2000 --start_leadtime 0 --end_leadtime 12 --verbose

plot_icon_heatmap --date 21111812 --folder /scratch/swester/output_icon/ICON-1/ --var clc --alt_top 2000 --start_leadtime 0 --end_leadtime 24 --add_cbh

Credits

This package was created with Cookiecutter and the MeteoSwiss-APN/mch-python-blueprint project template.