readmet
Python readers (and writers) for vendor-specific meteorological data
file formats – Campbell Scientific TOA5, Halo Photonics Doppler lidar
.hpl, Scintec SODAR FORMAT-1, AUSTAL/LASAT DMNA and DWD AKTerm.
Data are returned as pandas DataFrames or
numpy arrays.
Supported file formats
| Module | Format | Instruments / software | Files | Read | Write |
|---|---|---|---|---|---|
toa5 |
TOA5 | Campbell Scientific dataloggers (CR1000, CR3000, CR6, …), LoggerNet | *.dat |
✔ | ✔ |
hpl |
HPL | Halo Photonics StreamLine Doppler wind lidar (VAD, RHI, Stare, wind profile, processed wind profile) | *.hpl |
✔ | |
scintec1 |
Scintec FORMAT-1 / FORMAT-1.1 | Scintec SODAR / RASS wind profilers (APRun), scintillometers (SRun) | *.mnd and other Scintec output |
✔ | |
dmna |
DMNA | AUSTAL, AUSTAL2000, LASAT dispersion models (Ingenieurbüro Janicke) | *.dmna, *.dmnb, *.dmna.gz |
✔ | ✔ |
akterm |
AKTerm | DWD Ausbreitungsklassen-Zeitreihe (dispersion class time series) for AUSTAL | *.akterm, *.akt |
✔ | ✔ |
Installation
pip install readmet
or as normal user:
pip install --user readmet
readmet requires numpy and pandas. The sources are available from
GitHub.
Examples
Read a Campbell Scientific TOA5 file
from readmet import toa5
header, df = toa5.read("TOA5_CR3000.data_2015_06_17_0010.dat")
print(header["station_name"])
print(df[["AirTC_Avg", "RH_Avg"]].head())
Read Halo Photonics Doppler lidar .hpl files
from readmet import hpl
scan = hpl.DataFile("Wind_Profile_00_20260919_121707.hpl")
print(scan.type, scan.timestamp)
print(scan.rays[0].data.head()) # Doppler velocity, intensity, beta per gate
data = hpl.read("Wind_Profile_*.hpl") # many scans at once
Read Scintec SODAR / scintillometer FORMAT-1 files
from readmet import scintec1
data = scintec1.read("sodar_202406*.mnd") # dict of DataFrames per variable
Read an AUSTAL DMNA concentration grid
from readmet import dmna
g = dmna.DataFile("so2-y00a.dmna")
con = g.data["con"] # numpy array
x = g.axes("x") # grid coordinates
Read a DWD AKTerm file
from readmet import akterm
a = akterm.DataFile("testfile.akterm")
print(a.data[["FF", "DD", "KM"]].head()) # wind speed, direction, stability class
Documentation
Full documentation with one page per format: https://druee.gitlab-pages.uni-trier.de/python-readmet/
Citing
If you use readmet in your research, please cite it via its Zenodo DOI 10.5281/zenodo.23455355 (all versions; the Zenodo page lists a separate DOI for each release). Citation metadata are in CITATION.cff; on GitHub, use Cite this repository in the sidebar to get APA or BibTeX.
License
EUPL-1.2 © Clemens Drüe
1 maintainer
Metadata
1 maintainer
Release files for readmet 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| readmet-1.0.0.tar.gz | 3.1 MB | Details |
Release files / readmet-1.0.0.tar.gz
| Download URL | readmet-1.0.0.tar.gz |
|---|---|
| Size | 3.1 MB |
| Tags | Source |
|
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