- nesC 97.9%
- Python 2.1%
| Filename | Latest commit message | Latest commit date |
|---|---|---|
| .github/workflows | ||
| docs | ||
| mwr_l12l2 | ||
| tests | ||
| .gitignore | ||
| .readthedocs.yaml | ||
| AUTHORS | ||
| LICENSE | ||
| pyproject.toml | ||
| README.md | ||
mwr_l12l2
This repository contains tools for running optimal estimation retrievals for humidity and temperature profiling for ground-based microwave radiometers in combination with a model background. This encompasses tools for requesting the needed ECMWF forecast data, preprocessing tools for running TROPoe as well as postrocessing functions to extract quality-controlled E-PROFILE level 2 NetCDF formats. The package contains pre-computed a priori statistics for radiosonde sites representing typical European climates. Each instrument needs an own config file.
The operational service of E-PROFILE uses this package to run centralised near real-time retrievals and generate level2 NetCDF messages from its network of ground-based microwave radiometers.
External dependencies
-
podman: https://podman.io/
- on some distros the package slirp4nets is not installed. Make sure to have it for root-less execution of podman. Available through apt
-
TROPoe: https://hub.docker.com/r/davidturner53/tropoe
-
Make sure to pull the container with podman:
podman pull docker.io/davidturner53/tropoe
-
-
for using ECMWF forecasts:
- libeccodes0 and libeccodes-tools: grib file utilities available through apt
- mars: command line utility to obtain ECMWF data, see https://confluence.ecmwf.int/display/UDOC/MARS+user+documentation
For short descriptions on these dependencies and installation instructions please refer to the mwr_l12l2 official documentation
Installation
Once the external dependencies have been installed mwr_l12l2 along with its python dependencies is installable using pip, poetry or any other tools which understand dependency specifications in pyproject.toml.
from pypi
The package will be released on pypi once it has been thoroughly tested and quality controlled. Until then, install from git
from git
To install mwr_l12l2 from the source code do the following
-
clone this repository
git clone https://github.com/MeteoSwiss/mwr_l12l2.git -
go into the package directory and install
-
with pip (>=21.3)
pip install .
-
with poetry
poetry install
-
Documentation
The official documentation is available here