Monthly series of open, online short sessions on the Data Access Services and their usage via GUIs and APIs, answering top questions posted by participants at Sli.do (event code #data-services).
The sessions are open to all and address a wide range of attendees, from service providers to scientists and forecasters. Each session requires registration via Zoom. The sessions are a great opportunity to remove any technical challenges in using the Data Access Services GUIs and APIs, and engage users in discussion with EUMETSAT experts and colleagues.
Since October 2021.
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
More information available soon.
with Federico Fierli
16 February 2022, 12:00 UTC
More information available soon.
with Federico Fierli (EUMETSAT)
16 March 2022, 12:00 UTC
More information available soon.
with Federico Fierli (EUMETSAT)
6 April 2022, 12:00 UTC
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
In the Mediterranean region, the rainy and mild winters are usually followed by warm and dry summers, which leads to high levels of vegetation stress and to the accumulation of fuels during the dry phase. The fire season typically starts in May-June, and meteorological factors play a crucial role in the setting and spreading of wildfire, and are also an important factor in the resulting fire severity. How to interpret the available satellite products to anticipate severe fire occurrence?
In this short course, you will learn how the LSA SAF Fire Risk Map product can be used as a warning tool to extreme fire probability in the Mediterranean region. Case studies over different Mediterranean countries will be presented.
with Carla Barroso (EUMETSAT)20 April 2022, 12:00 UTC
It is known that weather recognises no borders, still we observe different weather patterns in different parts of the globe. The same applies to people. For this reason, it is only natural for ‘weather people’ to meet locally and discuss local challenges and commonalities in their efforts to describe and forecast the weather.
Regional courses are a unique opportunity for operational meteorologists to exchange information, develop skills, network and collaborate with their colleagues. EUMETSAT, as a partner in these regional courses, will show you how these courses are set up and how you can benefit from the exiting opportunities.
with Ivan Smiljanic, Natasa Strelec Mahovic, Vesa Nietosvaara (EUMETSAT)
27 April 2022, 12:00 UTC
More information available soon.
with Neil Fletcher and Mark Higgins (EUMETSAT)
4 May 2022, 13:30 UTC
More information available soon.
with Ivan Smiljanic, Ben Loveday, Julia Wagemann and Federico Fierli (EUMETSAT)
18 May 2022, 12:00 UTC
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
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:
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.
For limited audience only.