Training materials and helpful links

You’ll find model-specific tutorials similar to those in the intermediate section, with additional materials geared toward seasoned users. For even more tips, tutorials, and useful software, be sure to visit the intermediate link collection as well.

	PANGEO - Guide for scientists to make analysis workflow more efficient, scalable, and pleasant The goal of Pangeo is to make it quicker and easier to go from raw data to scientific insights. We want to spend less time writing boilerplate code and be able to perform calculations quickly and interactively on very large datasets. Pangeo is aimed at users who already have basic familiarity with using scientific python and are looking for ways to make their analysis workflow more efficient, scalable, and pleasant. If you are completely new to scientific python, you should first familiarize yourself with the basics before moving forward with this guide.
	FREVA (free evaluation system framework) by DKRZ Freva, the free evaluation system framework, is a data search and analysis platform developed by the atmospheric science community for the atmospheric science community. Data analysis is realised by user developed data analysis plugins. These plugins are code agnostic, meaning that users don't have to rewrite the core of their plugins to make them work with Freva.
	CLINT (Climate Intelligence) The main objective of CLINT is the development of an Artificial Intelligence framework composed of Machine Learning techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation, and attribution of Extreme Events.
	CRAI (Climate Reconstruction AI) by DKRZ Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutions.
	CRIS (Climate Resilience Information Systems) The following sections are instructions, guidelines and backgrounds around OGC API based software, which can be used to set up Climate Resilience Information Systems (CRIS) with tutorials, docs and more.

More learning opportunites:

	CODES (Coming Decade Evaluation System) by DKRZ CODES provides a standardized data and evaluation system for application within the Coming Decade project.
	HPC Carpentry: Teaching HPC-oriented coding and data-science skills to researcher HPC Carpentry teaches HPC-oriented coding, and data science skills to researchers. These lessons are ideal for either an in-person workshop or independent study.
	HPC support: EPICURE project - unlocking European-level HPC support The project will provide several services, including code enablement and scaling, performance analysis and benchmarking, code refactoring and code optimisation. To this end, the project will draw on the experience and knowledge of all partners in HPC operations and support, using training activities and hackathons to share knowledge in porting, optimisation, parallelisation, and GPU programming.

You can find a lot more interesting and further training courses on our events page !