bsod2 0.1.0

package for reading radiosonde data

bsod2

BSoD2(BalloonScope on Deck 2) is a package in Python for reading and visualizing radiosonde data.

Requirements

• numpy == 2.4.3
• pandas == 3.0.2
• metpy == 1.7.1

Installation

This package can be installed from PyPI.

pip install bsod2

Usage

The only functionality provided by this package is the bsod2.Sonde class, which retrieves radiosonde data and performs quality control.

Basic Sonde construction and methods

Initialize the class with the file path to the raw data.

from pathlib import Path
from bsod2 import Sonde

data = Sonde(Path("Seisuimaru2407/raw_data/F2024061806S1101771.CSV"))
data
>>> Sonde(sonde_no=1101771, launch_time=2024-06-18 06:01:42, product_name=iMS-100 , num_records=1101)

Accessors for observed variables

The following accessors can be used to retrieve meteorological variables.
Most accessors return values with metpy.units.units attached.

Accessor	units	Description	Example
df		quality-controlled pandas.DataFrame	sonde.df
time		Time	sonde.time
lat	units("deg")	Latitude	sonde.lat
lon	units("deg")	Longitude	sonde.lon
x	units("m")	X-displacement from the launch point	sonde.x
y	units("m")	Y-displacement from the launch point	sonde.y
z	units("m")	Altitude	sonde.z
p	units("hPa")	Pressure	sonde.p
t	units("degC")	Temperature	sonde.temp
rh	units("percents")	Relative humidity	sonde.rh
wd	units("deg")	Wind direction	sonde.wd
ws	units("m/s")	Wind speed	sonde.ws

Save as CSV

Save the quality-controlled DataFrame as a CSV file to the specified file path using the save_df method.

sonde.save_df(Path("output.csv"))

Altitude or pressure interpolation

Interpolate linearly onto an evenly spaced grid in pressure or altitude using the interp argument.

data = Sonde(FILE_PATH,interp="p")

Sample plots

data

Sample data was observed in Seisui-maru 2407 cruise (2024年度　三重大学　陸海空・環境科学実習).

• raw data
• field book(pdf)

z vs. sonde variables plot

additional dependencies

• matplotlib

See z_vs_var.ipynb for more details.

time-z cross section plot

additional dependencies

• matplotlib
• xarray

See vertcal_csec.ipynb for more details.

2D/3D trajectories plot

additional dependencies

• matplotlib
• cartopy
• pygmt
• imageio

See trajectory.ipynb for more details.

emagram

additional dependencies

• matplotlib

See emagram.ipynb for more details.

Licence

This project is distributed under the terms of the GNU General Public License, Version 3 (GPLv3).
See the LICENSE file for details.