Working with marine satellite data often involves using large numbers of individually large data files. The applications for these data are also broad, and range from exploratory and research-led projects, to routine and operational analysis for more commercial applications. As such, there are many tools available to work with marine satellite data. Here we provide technical guidance for installation of two commonly used tools by the marine remote sensing community, namely: SNAP and Jupyter Notebooks (Python).

The current suite of Earth Observation satellites offer access to an unprecedented amount of information on the marine environment. Concurrently, there is a growing demand in research, governance, and commercial marine sectors, for personnel who can use this data. Training providers across these sectors is essential for maximizing the utility of this data and building necessary capacity. This course offers participants the opportunity to work with other trainers to incorporate the use of Copernicus marine data from EUMETSAT in to their own educational activities. Participants will learn how to use open access resources available through EUMETSAT and the Copernicus programme, and co-develop their own resources with a network of fellow participants and trainers from IODE, EUMETSAT and CMEMS. The course will delivered online only.

The purpose of the event is to develop skills in using EUMETSAT and related data to marine weather forecasting, for professionals in operational Services across African marine communities.

The purpose of these workshops is to develop skills in using data from EUMETSAT’s Copernicus Marine Data Stream (CMDS) for oceanographic applications. We will focus on the application of data from Sentinel-3.

After the workshops, participants will be able to:

1. Name data and products provided in the CMDS with relevance to their work (variables, timeliness, resolution, data format).
2. Access and download the data and products provided in the CMDS using CODA, EUMETSAT Data archive, and EumetCAST.
3. Know how to work with CMDS data using Jupyter Notebooks (Python) and the Sentinel Application Platform (SNAP).
   
4. Use data and products from the CMDS for your own work needs and purposes.

On this moodle platform, students from different countries can train their international competencies by collaborating in different projects, exchanging ideas and doing self-study.

In the first project, students from the weather services in South Africa and Germany will work together on the topics Arctic and Antarctica. The project will start in September 2019, with the beginning ot the largest-scale Arctic research expedition of all time. The research icebreaker Polarstern will spend one year drifting through the Arctic Ocean and being trapped in the ice.

In the context of this course we will focus on the application of data from Sentinel-3, Jason-3 and use of associated data such as EUMETSAT’s scatterometers.

After the training, participants will be able to:

• analyze  the current surface conditions using scatterometer and altimeter data;
• monitor the evolution of the surface conditions;
• integrate these satellite data with data from numerical models, validating the model output;
• access and visualize the data;
• identify how the use of the wide range of products available from  EUMETSAT, the Copernicus Marine Environment Monitoring Service and other Copernicus partners, can improve the quality of marine analysis.

   

Online phase: 2 - 13 April 2018 Classroom phase: 4 - 8 June 2018, Lisbon, Portugal

Part 1:

Earth Observation: Learn what data and products the Copernicus Marine Data Stream provides (variables, timeliness, resolution, data formats);

• Select from the Copernicus Marine Data Stream appropriate products for specific tasks;
• Access/download data and products provided in the Copernicus Marine Data Stream (CODA, EUMETSAT Data archive, EUMETCast);
• Investigate the potential of Copernicus Marine Data for your own applications, using SNAP and /or scripting languages (we will provide scripts in Python, but you are welcome to use other languages during the classroom phase).
• Investigate ocean colour, sst, altimetry, sea-ice and wind data

Part 2:

Numerical modelling: Learn about how to:

• process ocean model data
• assimilation schemes
• model validation
• statistical gap filling data.

Online phase: 15-26 January 2018

Classroom phase: 5-9 February 2018, Hamburg, Germany

Learn what data and products the Copernicus Marine Data Stream provides (variables, timeliness, resolution, data formats);

• Select from the Copernicus Marine Data Stream appropriate products for specific tasks;
• Access/download data and products provided in the Copernicus Marine Data Stream (CODA, EUMETSAT Data archive, EUMETCast);
• Investigate the potential of Copernicus Marine Data for your own applications, using SNAP and /or scripting languages (we will provide scripts in Python, but you are welcome to use other languages during the classroom phase). 

Online phase: 19-30 March 2018

Classroom phase: 16-20 April 2018

Nous nous concentrerons sur l'application des données de Sentinelle-3, Jason-3 et sur l'utilisation de données associées telles que celles Diffusiomètres d’EUMETSAT.

Les participants pourront:

• Analyser les conditions de surface réelles à l'aide des données des Altimètres et Diffusiomètres;
• Surveiller l'évolution des conditions de surface;
• Intégrer ces données satellitaires avec les données issues de modèles numériques pour la validation des sorties du modèle;
• Accéder aux données et les visualiser;
• Déterminer comment l'utilisation de la vaste gamme de produits disponibles auprès d'EUMETSAT peut améliorer la qualité de l'analyse maritime.

Salle de classe: 4-8 décembre, Casablanca, Maroc

• Learn what data and products the Copernicus Marine Data Stream provides (variables, timeliness, resolution, data formats);
• Select from the Copernicus Marine Data Stream appropriate products for specific tasks;
• Access/download data and products provided in the Copernicus Marine Data Stream (CODA, EUMETSAT Data archive, EUMETCast);
• Investigate the potential of Copernicus Marine Data for your own applications, using SNAP and /or scripting languages (we will provide scripts in Python, but you are welcome to use other languages during the classroom phase). 

Online phase: 23-29 October 2017

Classroom phase: 6-10 November