imktk 0.2.2

Toolkit provided by IMK at KIT

IMK Toolkit

This toolkit provides post-processing scripts developed by members of the Institute of Meteorology and Climate Research (IMK) at the Karlsruhe Institute of Technology (KIT). The goal of this module is to gather together python post-processing scripts for the analysis of netCDF data and distribute them easily.

Usage

Simply import the library using import imktk. From then on all scripts are available using the imktk attribute:

import imktk

ds = imktk.tutorial.open_dataset("toy_weather")  # Load example dataset
anomaly_free_tmin = ds.tmin.imktk.anomalies()  # Select dataarray `xr.tmin` and execute anomalies script

The following is a list of available scripts:

Description	Example usage	Link to Script
Calculate temperature for adiabatic process in air	ds.tmin.imktk.ad_temp(temp_at_0, press_at_0)	here
Calculate monthly anomalies	ds.tmin.imktk.anomalies()	here
Calculate monthly climatology	ds.tmin.imktk.climatology()	here
Interpolation routine for flight track (incl. aircraft and satellites)	ds.tmin.imktk.flight_track(**dims)	here
Calculate number density from mixing ratio, temperature and pressure	ds.tmin.imktk.num_den(temp, press)	here
Calculate saturation vapour pressure over ice for temperatures > 110 K	ds.tmin.imktk.vapour_pres_ice()	here
Calculate saturation vapour pressure over liquid water for temperatures 123 K < T < 332 K	ds.tmin.imktk.vapour_pres_liq()	here

Getting Started

The easiest method to test the module is to use an interactive session with docker. In this environment you will have a Python 3 environment with all necessary dependencies already installed.

docker run -it imktk/imktk:latest bash

For the brave: You can test the latest release candidate by changing latest to testing

Install

Choose one of the following methods to install the package:

1. Install using pip
2. Install using conda
3. Install using git clone

This package supports only Python 3 with version >=3.7. If you are using an earlier version of Python please consider updating.

pip

Releases are automatically uploaded to PyPI. Please execute following command to install the package.

python3 -m pip install imktk

conda

Currently the package does no support native installation using conda respectively conda-forge. This feature is on the roadmap and you can follow its process using issue #34. The current workaround for conda installation is to use the following steps for any given environment <env>.

1. Activate the environment

   conda activate <env>
   

2. Install using pip

   python3 -m pip install imktk
   

git clone

It is also possible to install the package natively by cloning the repository. If you are interested in using this method of installation please follow these steps

1. Install build dependencies

   python3 -m pip install build
   

2. Clone repository

   git clone https://github.com/imk-toolkit/imk-toolkit.git
   

3. Generate the Python packages

   python3 -m build  # or `make build`
   

4. Install packages

   pip3 install dist/imktk-<current.version>-py3-none-any.whl  # or `make install`
   

Please be aware that this package uses HDF5 and netCDF c-libraries in the backend. If you are installing using git clone the HDF5_DIR environment variable with the location of the HDF5 header files needs to be set.

Further reading

If you are interested in the inner workings of the package and details of the implementation please refer to the embedded README.md.