Python library for reading and processing ALC (Automated Lidars and Ceilometers) measurements. A-Profiles supports E-PROFILE ceilometer data. This library is used by V-Profiles.

📗 Documentation

The official documentation is available here.

✨ Installation

via pip

aprofiles is directly available on pip. This will install the latest released version of aprofiles and its depencencies.

• with pip

pip install aprofiles

• with pipx

pipx install aprofiles

from source

1. clone this repository

   git clone https://github.com/AugustinMortier/A-Profiles.git

2. installation

   • with pip (>21.3)

     pip install .

   • with pipx

     pipx install .

   • with poetry

     poetry install

In order to install directly the package from source with pip, you can also use the combined command

pip install "git+ssh://git@github.com/AugustinMortier/A-Profiles.git"

🚀 Get started

Reading Data

# import library
import aprofiles as apro

# read local NetCDF L2 data
path = "examples/data/E-PROFILE/L2_0-20000-006735_A20210908.nc"
profiles = apro.reader.ReadProfiles(path).read()

Basic corrections and Image plotting

# extrapolate lowest layers for removing outliers
profiles.extrapolate_below(z=150, inplace=True)

# image plotting of backscatter signal in log scale
profiles.plot(zref='agl', vmin=1e-2, vmax=1e1, log=True)

Profiles Analysis

# fog/condensation detection
profiles.foc(zmin_cloud=200) 

# clouds detection
profiles.clouds(zmin=300, thr_noise=5, thr_clouds=4)

# planetary boundary layer
profiles.pbl(zmin=200, zmax=3000, under_clouds=True)

Visualization

Image

# image plotting with additional retrievals
profiles.plot(show_fog=True, show_clouds=True, show_pbl=True, vmin=1e-2, vmax=1e1, log=True)

Single Profile

# plot single profile at 21:20
datetime = np.datetime64('2021-09-09T21:20:00')
profiles.plot(datetime=datetime, vmin=-1, vmax=10, zmax=12000, show_clouds=True, show_pbl=True)

⚖️ License

GPL-3.0.

🎓 Support

A-Profiles is developed by MET Norway and supported by EUMETNET.