This short course will focus on the application of Case 2 Regional Coast Colour (C2RCC) algorithms to OLCI products, differences between custom and operational processing and planned near-future updates to the OLCI product suite. It is designed for ocean colour practitioners of intermediate level.

Webinar with Ana Ruescas, Dagmar Müller, Jorrit Scholze (Brockmann Consult GmbH) and Ben Loveday (EUMETSAT)

24 and 25 October 2024 12:00 - 14:00 UTC

13 March 2024 - 12:00 UTC

This online short course presents CLARA-A3, the latest edition a global climate data record on clouds, surface albedo and surface radiation, generated by the Satellite Application Facility on Climate Monitoring (CM SAF).

Webinar with Steffen Kothe (DWD), Christine Traeger Chatterjee (EUMETSAT).

20 September 2023 - 12:00 UTC

19 July 2023 - 11:00 UTC

11 July 2023 - 08:00 UTC

This online short course presents SARAH-3, the latest edition of the SEVIRI-based climate data record on surface radiation, generated by the Satellite Application Facility on Climate Monitoring (CM SAF).

Webinar with Steffen Kothe (DWD), Uwe Pfeifroth (DWD), Christine Traeger Chatterjee (EUMETSAT), Antonio Vecoli (EUMETSAT).

14 June 2023 - 12:00 UTC

By using Project Jupyter tools primarily for Earth observation data education, EUMETSAT is pioneering and advocating for the need to make notebooks more educational and has developed and published five guiding principles on how to do so. 

7 June 2023 - 12:00 UTC

In this event, EUMETSAT is demonstrating a multi-mission data visualisation tool SIFT which is suited for viewing and analysing data from MTG-I1 missions. SIFT is an open-source software released by EUMETSAT and University of Wisconsin, which utilizes the popular Satpy python-package for data reading. We also show an upgraded version of the web-based EUMETView tool.

Webinar with Stephan Bojinski, Andrea Meraner and Erdem Erdi, EUMETSAT 

31 May 2023 - 12:00 UTC

The main objective is to raise awareness of the evaluations in EUMETCast-Europe Service and changes to be performed on the satellite reception stations. A second part of the course will focus on basics of MTG-I data handling.

with Erdem Erdi (EUMETSAT)

16, 17 May 2023, 8:00 UTC

Europe experiences regular Saharan dust transports across the Iberian peninsula, France, Spain that sometimes even reach central and northern Europe. In 2023, the first large-scale dust transport episode took place in mid-February. Taking this event as a case study, this short course will give you an overview of how you can use satellite and ground-based observation as well as model forecasts to monitor and forecast Saharan dust episodes.

Webinar with Anu-Maija Sundström, FMI, and Julia Wagemann, EUMETSAT

2 May 2023, 12:00 UTC

This online short course presents CLAAS-3, the latest edition of the SEVIRI-based climate data record on clouds and cloud features, generated by the Satellite Application Facility on Climate Monitoring (CM SAF).

Webinar with Nikos Benas (KNMI), Jan Fokke (KNMI); Steffen Kothe (DWD), Irina Solodovnik (DWD).

19 April 2023 - 12:00 UTC

This advanced to expert level short course will focus on recent changes to data access for Sentinel-3 Ocean and Land Colour Instrument (OLCI) products, and introduce new tools and approaches for performing ocean colour match-up analyses. The event will:

Webinar with Ben Loveday, Hayley Evers-King, Juan Ignacio Gossn and Noemi Marsico (EUMETSAT)

29 March 2023 - 11:00 UTC

This short course will focus on the new capabilities of the Sentinel-6 Michael Freilich altimeter and new data access routes to obtain its products.

Webinar with Ben Loveday, Vinca Rosmorduc, Christine Traeger Chatterjee and Hayley Evers-King (EUMETSAT)

29 September 2022

Satellite data products are relevant tools for monitoring marine weather and sea state conditions, as situ observations over ocean are scarce. Without satellite data, in essence, marine forecasters are left to rely solely on model data. In this course, you will learn through practical examples how to better assess current sea and marine weather conditions, and the accuracy of NWP forecasts, with the aid of scatterometer and altimeter data.

with Carla Barroso and Ivan Smiljanic (EUMETSAT)

8 June 2022, 12:00 UTC

EUMETSAT his often asked for the story behind the MOOC - what is it, why did we do it, how did we put it in place and what challenges did we have and what have we learned. These are the themes fore this session. 

with Neil Fletcher and Mark Higgins (EUMETSAT)

4 May 2022, 13:30 UTC

This is the first in the series of 3 Ocean and Sea Ice SAF (OSI SAF) webinars providing an overview of the OSI SAF products and their applications, explaining how they are processed and validated, what they can be used for, and how they can be used. New means for accessing the data will be highlighted, and some on-line demonstration will be included.

The webinar is aimed at both existing users of the OSI SAF products and those who are not familiar with the products. 

with Stéphane Saux Picart and Olivier Membrive (Meteo France), Steinar Eastwood (Met Norway) and Jean-François Piolle (Ifremer)

25 January 2022, 12:00 UTC

This is the second in the series of 3 Ocean and Sea Ice SAF (OSI SAF) webinars providing an overview of the OSI SAF products and their applications, explaining how they are processed and validated, what they can be used for, and how they can be used. New means for accessing the data will be highlighted, and some on-line demonstration will be included.

The webinar is aimed at both existing users of the OSI SAF products and those who are not familiar with the products. 

with Olivier Membrive (Meteo France), Steinar Eastwood,  Thomas Lavergne and Signe Aaboe (Met Norway), Gorm Dybkjaer, Fabrizio Baordo, Jacob Høyer and Johanne Oelund (DMI)

27 January 2022, 12:00 UTC

This is the third in the series of 3 Ocean and Sea Ice SAF (OSI SAF) webinars providing an overview of the OSI SAF products and their applications, explaining how they are processed and validated, what they can be used for, and how they can be used. New means for accessing the data will be highlighted, and some on-line demonstration will be included.

The webinar is aimed at both existing users of the OSI SAF products and those who are not familiar with the products. 

with Thomas Lavergne (Met Norway), Ad Stoffelen (KNMI) and Olivier Membrive (Meteo France)

1 February 2022, 12:00 UTC

The fire season over the Mediterranean region typically starts in May-June. Meteorological factors play a crucial role in the setting and spreading of wildfires and they are also an important factor in the resulting fire severity. How to interpret the available satellite products and anticipate severe fire occurrence?

Viewing at the storm clouds from above tells us about their interior dynamics. Join us to look at what the satellite images show about the processes happening in the storm clouds. We will reveal the structures seen on the storm tops with currently available satellites and peek into the future view that we will have with the sensors on Meteosat Third Generation (MTG).

with Natasa Strelec Mahovic and Ivan Smiljanic (EUMETSAT)

12 April 2022, 12:00 UTC

This short course will give you an introduction to dust monitoring and forecasting. The course will give you first a high-level introduction to data observations (ground-based and satellite) and model forecasts that can be used to monitor and forecast dust events. The high-level introduction is followed by a practical data discovery part. Focussing on one dust event, the practical part will practically introduce you to satellite-, ground- and model-based data.  For each dataset featured, you will get a practical hands-on introduction on how to access, process, visualize and interpret the dataset. 

with Federico Fierli (EUMETSAT), Sara Basart (BSC), Anu-Maija Sundstrom (FMI), Lucia Mona (CNR-IMAA) and Julia Wagemann (MEEO)

6 April 2022, 12:00 UTC

This course presents how new Artificial Intelligence methods could be used in Earth Observation and numerical model for monitoring purposes. 

with Federico Fierli (EUMETSAT) and Maximilien Houël  (MEEO srl)

16 March 2022, 12:00 UTC

Analysis Ready Data (ARD) data are Earth Observation data pre-processed for users and ‘ready to analyse’. The idea behind ARD is, that a data provider such as EUMETSAT is in general in a better position to do general data pre-processing, e.g. atmospheric correction, cloud masking and re-gridding, than a user. ARD data are typically made available in form of a data cube, which typically is specialised on a specific region or a thematic application. 

This short course introduces you to the Atmospheric Composition Data Cube (ACDC), a data cube prototype for satellite-based data on atmospheric composition. The ACDC makes use of the data tailor API, which allows for an efficient ‘on-demand’ access to a selection of EUMETSAT’s data. 

with Federico Fierli (EUMETSAT) and Julia Wagemann (MEEO srl)

16 February 2022, 12:00 UTC

This course is aimed at demystifying Earth Observation satellite data use through code. The course will focus on the flow that is used, regardless of programming language, to produce statistics or imagery from raw data files. We will also highlight resources that are available in multiple programming languages to further your exploration of coding for EO.

with Steffen Kothe (DWD), Danny Parsons; Co-instructors: Hayley Evers-King (EUMETSAT), Oliver Clements (PML); Moderator: Christine Traeger-Chatterjee

8 December 2021, 12:00 UTC

Similar to snow covered hills with its unique view, but also hidden dangers, winter weather for the operational meteorologists offers a unique concept to handle, quite a different view in the satellite imagery, and hidden hurdles when it comes to interpretation of that imagery. Join us for this session and you will hear satellite application experts talking about: 

• Specifics of winter weather
• Analysis of winter weather through satellite data  
• Utility of the satellite data and products for winter season

24 November 2021; 12:00 UTC

This short course offers an introduction to the weather-related satellite data visualization and analysis using Jupyter Notebooks. We show you how you can use the Python scripts to easily open and visualize the data and analyse the weather. In this course you learn how to:

• Access satellite data using Jupyter Notebooks
• Visualize single channels and channel combinations (RGB products)
• Analyse cloud types and basic weather patterns in visualized images

with Ivan Smiljanic and Alen Berta (CGI); Moderator: Natasa Strelec Mahovic (EUMETSAT)

9 November 2021, 12:00 UTC

In the course we will learn some of the most popular machine learning algorithms applied to retrieval and classification of optical remote sensing images (Sentinel-3 OLCI) for Ocean Colour studies. 

with Ana Ruescas; Moderator: Mark Higgins (EUMETSAT)

4 November 2021, 12:00 UTC

The ocean is a complex system with processes at various scales interacting among them, from thousands of kilometers down to less than 1 km. Satellite data offer a unique amount of information about the ocean surface, thanks to the high spatial and temporal resolution they provide. However, satellite sensors measuring at the visible and infrared wavebands are affected by the presence of clouds and have therefore a large amount of missing data (clouds cover about 75% of the Earth at any given time). In order to study these multi-scale oceanic processes it is therefore necessary to deal with this missing information. Data interpolation techniques are often used for that, and various approaches have been developed over time.

The GHER (GeoHydrodynamics and Environment Research) of the University of Liege in Belgium works on the development of interpolation techniques for satellite data. In this seminar we will present two approaches. We’ll start with DINEOF - Data Interpolating Empirical Orthogonal Functions- which is a data-driven technique using EOFs to infer missing information in satellite datasets. We will follow with a more recent development, DINCAE - Data Interpolating Convolutional AutoEncoder.

with Aida Alvera Azcarate; Moderator: Hayley Evers-King

19 October 2021, 11:00 UTC

Machine learning has recently been used for nowcasting weather phenomena in several studies and applications. One of these applications is thunderstorm nowcasting, on which several studies have already been published. However, these studies usually make use of only one data source and concentrate on a single thunderstorm hazard. In order to bring these methods to real-world applications, we are working to develop thunderstorm nowcasting methods that make use of multiple sources of data simultaneously and can be trained to create products for different hazards according to the needs of the end user.

with Jussi Leinonen (MeteoSwiss); Moderator: Mark Higgins (EUMETSAT)

6 October 2021, 11:00 UTC

We inform you on the availability of new and modern Data Services at EUMETSAT that you can already employ to access a selection of EUMETSAT data, including the MSG level1.5. 

The key new service for existing Data Centre users is the EUMETSAT Data Store. The Data Store and the associated Data Tailor Service provides users with a download and data tailoring service for online data which will eventually replace the ordering service from the Data Centre. Users can discover, apply customisation changes (format transformations, regional sub-setting, file aggregation, etc.) and download data. The service provides access through an online interface (GUI) and additionally for the first time also via Application Programming Interfaces (API). The service is currently in a pilot phase and is planned to go operational in July 2021.

Environmental and weather prediction systems rely on an accurate representation of soil moisture (SM). The availability of moisture in the root zone of plants is critical and especially in recent years has become an issue in large areas of Europe, as a series of dry summers have been experienced.

As an H SAF partner, ECMWF is producing scatterometer-derived root zone SM. In this short course you will learn about the retrieval approach and the strengths and limitations of the climate data record. 

with David Fairbairn (ECMWF; H SAF) and Christine Traeger Chatterjee

16 June 2021, 12:00 UTC

What is Land Surface Temperature (LST)? How is it measured? What is it used for? Why are there two similar data records of LST offered in the EUMETSAT portfolio? Can we do climate analysis by combing the different LST data? These and more questions will be answered in this short course.

with Anke Duguay-Teztlaff (MeteoSwiss, CM SAF), Joao Martins (LSA SAF, IPMA) and Christine Traeger Chatterjee

19 May 2021, 12:00 UTC

Discover what satellite data is used in convection analysis and try yourself in a hands-on data exercise in a convective case.

with Natasa Strelec Mahovic and Ivan Smiljanic

12 May 2021, 12:00 UTC

Discover Global sea surface temperature data from the SLSTR instrument onboard the Sentinel-3 satellites, including data access, visualization and processing. Tools used in this short course will include CODA, SNAP, and Python Jupyter Notebooks.

with Bob Brewin, Lauren Biermann, Oliver Clements, and Christine Traeger Chatterjee

14 April 2021, 12:00 UTC

Have you ever done case study yourself? What is the case study anyway – is this a nice short story about the event that happened, supported by some scientific variables? Or this is research paper triggered by a certain event that did not go under public or scientific radar? Why and how experts produce case studies, and who needs them anyway?

In this short course webinar we will try to answer aforementioned questions and hint you about the tools and know-how to assist your own potential venture into case studies. 

with Ivan Smiljanic and Natasa Strelec Mahovic

17 March 2021, 12:00 UTC

This short course focuses on the ozone dataset from the GOME-2 instrument. We will discuss the basics of the stratospheric ozone science and the observational techniques. Then we will bring participants in working with datasets on an intuitive series of Notebooks to (1) familiarize with data and (2) get ready to make their own analysis and animations.

with Alessandra Cacciari, Julia Wagemann and Federico Fierli 

18 Febr 2021, 12:00 UTC

with Danny Parsons, Steffen Kothe and Christine Träger-Chatterjee 

3 Febr 2021, 12:00 UTC

In this short course you will be introduced to the CM SAF R Toolbox and its functionalities. The CM SAF R Toolbox is a software based on R, specifically developed to analyse satellite based climate data records.

Information and support on how to install the CM SAF R Toolbox will be provided. Participants will be invited to play with the visualization and analysis functionalities provided in the software and to join also a feedback / Q&A session on Monday, 25 January 2021

with Christine Traeger Chatterjee, Steffen Kothe and Danny Parsons

20 Jan 2021, 12:00 UTC 

Download, plot and explore level 2 data and build a gridded dataset following robust methods using Jupyter Notebooks. The activity is structured into a webinar, self-paced work and a feedback session. 

Discover Ocean and Land Colour data from the Instruments (OLCI) onboard the Sentinel-3 satellites, including data access, visualization and processing. Tools will include Python, Jupyter Notebooks & SNAP.

with Hayley Evers-King, Lauren Biermann and Oliver Clements

25 November 2020, 12:00 UTC

Details on the CM SAF SARAH climate data record (available since 1983), focusing on sunshine duration and surface solar radiation, incl. current applications and future developments. In an interactive session you will be able to explore the SARAH data record using the CMSAF R Toolbox and discuss the results.

with Jörg Trentmann, Uwe Pfeifroth, Steffen Kothe and Christine Träger-Chatterjee

28 October 2020, 12:00 UTC

Learn more about fire monitoring with satellites in general and the NRT Sentinel-3 SLSTR Fire Radiative Power (FRP) and Aerosol Optical Depth (AOD) data products in specific.

The course will be accompanied with a practical training where the data and three different examples of recent wildfire events will be introduced. The practical training is based on Jupyter notebooks.

with Federico Fierli, Julien Chimot and Julia Wagemann

with Mark Higgins

6 October 2020, 13:00 UTC

A formula-free approach to remote sensing based on images from GOES and Meteosat satellites. How to twist radiance readings at the satellite into air temperatures and soil characteristics. Guided exercises on viewers will try to make you familiar with satellite data.

Discover the sea level data from the SRAL sensor onboard the Sentinel-3 satellite. We will cover where to get data and how to interpret the data to answer scientific questions in Python through the Jupyter Notebooks interface. We will also introduce the upcoming altimetry sensor on the Sentinel-6 mission.

with Vinca Rosmorduc and Olly Clements

16 September 2020, 12:00 UTC   

Get an overview on the climate data records available from the EUMETSAT Satellite Application Facilities, learn how to access them and gain first experiences on working with free and open data in the CM SAF - R -Toobox. Data and software developers will be available for questions and guidance.

Learn about Copernicus data for Atmospheric Composition and learn how to develop your own workflows based on sample applications. The European Union Copernicus programme is open and free for everyone - whether from academic, government, or commercial backgrounds. The programme has an operational focus, with satellite constellations and services. Satellite data provides composition vital information on key atmospheric constituents at different spatial and temporal scales with a continuous improvements in observational spatial and temporal resolution, coverage and measured species as well as a constantly evolving added value products from the Copernicus Atmospheric Monitoring Services.

26 May 2020

The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)

This short course will guide attendess through the workflow of finding appropriate data, downloading the data and analysing the data.  Through the course we will make use of the WeKEO DIAS hosted processing system, Sentinel Applications Platform (SNAP) software, and Python programming language. 

19 May 2020

The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)