Ruby/Python bindings for CDO

A Python package for netCDF analysis and post-processing

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

Scripts de diferentes linguagens.

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Analysis of the projected changes of the Indian summer monsoon using 32 CMIP6 models

Some hints and example shell scripts about the use of CDO (Climate Data Operators).

Java bindings for HTML, Bootstrap, Font Awesome, and jsTree. Generation of HTML Web application from EMF models.

An R wrapper of the CDO command-line utility

Eclipse CDO Mavenized

Install open source packages to work with netCDF and openMPI on Mac OS X and Linux.

An OSGi-based framework for domain-driven development of web applications

Spring repository support for Connected Data Objects (CDO) - a distributed shared model of Eclipse EMF.

Create Climate Data Operator (CDO) like applications in Python

An Investigation into Price Surfaces for Credit Derivatives and the 2008 Credit Crisis - MSc Finance (Credit, 90%), University of London

Files for downscaling climate forcing to A20 regional model

This is a description to convert precipitation data compressed binary files using CDO and then jupyter notebook to Convert it to CSV

Heat wave duration index w.r.t mean of reference period

Apply CDO operations to batches of files and manage output file locations