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.

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

🍉🗡️ Empowering Creativity Through Code

An R wrapper of the CDO command-line utility

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

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

Eclipse CDO Mavenized

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

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

🍉🗡️ WatermelonKatana's Code.org Interpreter

This repository contains Eclipse CDO and all necessary configuration files to build and run the server in a Docker container

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

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

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

Create Climate Data Operator (CDO) like applications in Python