How To Install Ncl In Ubuntu

CDO NCL & NCO Installation

This tutorial demonstrates how to use the conda package manager to easily install Climate Data Operator (CDO), NCAR Command Language (NCL), & netCDF Operators (NCO) climate data processing tools. If you want to process, manipulate, & generate high-quality plots from climate & weather data, you need to familiarize yourself with these tools.

The main advantage of installing these packages w ith the conda package manager is that it separates environments, which prevents conflicting dependencies between different libraries & versions. First, you need to install Anaconda or Miniconda on your system. If you haven't already installed these package & environmental managers, you can do so by following the instructions in my previous post.

Installing CDO

CDO is a collection of command-line operators for manipulating & analyzing climate model & observational data. It supports importing & exporting files in a variety of formats, including GRIB1/2, netCDF 3/4, SERVICE, EXTRA, & IEG. It's also equipped with over 600 operators that are vital for climate studies.

To install CDO, launch the Ubuntu terminal or Anaconda prompt & run the following commands:

Add a new environmental variable named CDO_environment:

          conda create --name CDO_environment

When prompted, press y & Enter

Once the CDO_environment is created, activate it by typing:

          conda activate CDO_environment

Install the CDO package:

          conda install -c conda-forge cdo

To know the CDO version, type:

          cdo -V

If you receive a version number, you have successfully installed the CDO package.

To exit the CDO environment, simply type:

          conda deactivate

Installing NCL

NCL is an interpreted language developed by the National Center for Atmospheric Research for the analysis & visualization of climate & weather data. It supports importing & exporting files in a variety of formats, including netCDF, GRIB, HDF, HDF-EOS, & shapefiles. It is also capable of producing high-quality plots.

To install NCL, launch the Ubuntu terminal or Anaconda prompt & run the following commands:

Add a new environmental variable named NCL_environment:

          conda create --name NCL_environment

When prompted, press y & Enter

Once the NCL_environment is created, activate it by typing:

          conda activate NCL_environment

Install the NCL package:

          conda install -c conda-forge ncl

To know the NCL version, type:

          ncl -V

If you receive a version number, you have successfully installed the NCL package.

To exit the NCL environment, simply type:

          conda deactivate

Installing NCO

NCO is a set of open-source command-line tools for analyzing, processing, viewing, & manipulating netCDF files. It was developed by atmospheric scientists at UC-Irvine.

To install NCO, launch the Ubuntu terminal or Anaconda prompt & run the following commands:

Add a new environmental variable named NCO_environment:

          conda create --name NCO_environment

When prompted, press y & Enter

Once the NCO_environment is created, activate it by typing:

          conda activate NCO_environment

Install the NCO package:

          conda install -c conda-forge nco

After the installation is completed, exit the NCO environment by typing:

          conda deactivate