OceanTeacher Global Academy

This 2 week-long module on Ocean Data Management is part of the Nippon Foundation-POGO Centre of Excellence (NF-POGO CofE) and hosted by AWI (cohort 2018-19). This module is part of an intensive training course for young professionals at the post-graduate level, ten months in duration, with an intake of ten trainees per year. The course is sponsored by the Nippon Foundation and hosted by the Alfred Wegener Institute for Polar and Marine Research.  It is conducted at AWI’s site on the offshore island of Helgoland with focus on open-ocean sciences.This module provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal proj…

This course provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented by the students at the end of the course.Aims and Objectives:




Recognize the importance of good research data management practice


Provide an introduction to the use of free software for synthesis of marine data and analyses


Creation and use of multi-parameter marine data collections to prepare and publish standard data products


Develop marine data and products from multiple sources using selected software programs

Sustained ocean observations are essential for understanding links between physical and chemical drivers and ecosystem responses and for investigations into how long-term changes in the underlying drivers might impact on ecosystem dynamics and the services these provide. However, the management of time series is complex and many issues from scientific to financial and scoietal, need to be taken into account for time series to be sustainable in the long-term. Therefore, while many time series courses have a focus on statistical techniques needed to analyse time series,  in this course we take a holistic approach. We will introduce you to different types of time series and will show you different tools for the visualisation and exploration of your time series data (both very important for …

To get familiar with each other and with the technical issues of the teaching tools. Get to know administrative issues, learn how to apply the folderscope and the VPN server, introduction to netiquette and good scientific practice. Get to know the hosting institutes, the Nippon Foundation and the POGO consortium

Unit on chemical oceanography, nutrients and plankton.

The Physics of the Climate System “Warming of the climate system is unequivocal, and since the 1950s, many of the observed changes are unprecedented over decades to millennia. The atmosphere and ocean have warmed, the amounts of snow and ice have diminished, sea level has risen, and the concentrations of greenhouse gases have increased.” This statement in the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) in 2013 is based on a wide variety of climate observations and model simulations.  The present characteristics of the climate system are a product of a long-term evolution determined by external forcing (sun, volcanoes) and internal interactions within the climate system, which is composed of atmosphere, ocean, cryosphere, land surfaces, and the …

Unit on Ocean Modelling.

Unit on GIS.

This 2 week-long module on Ocean Data Management is part of the Nippon Foundation-POGO Centre of Excellence (NF-POGO CofE) and hosted by AWI (cohort 2021). This module is part of an intensive training course for young professionals at the post-graduate level, ten months in duration, with an intake of ten trainees per year. The course is sponsored by the Nippon Foundation and hosted by the Alfred Wegener Institute for Polar and Marine Research. This module provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented…

Unit on Physical Oceanography I

Unit on Physical Oceanography II

Unit on Statistics

Unit on Statistics in R

Unit on Science Communication

Unit on Marine Spatial Planning

Unit on Timescales of Element Cycling in the Ocean- Analytical, Experimental and (radio)Tracer Approaches