This event will focus on recent changes to data access for Sentinel-3 OLCI operational and reprocessed products to support the new of new tools and approaches for performing match-up analyses.
Webinar with Ben Loveday, Hayley Evers-King and Juan Ignacio Gossn (EUMETSAT)
28 November 2022
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.
In the near future, new satellites such as Meteosat Third Generation (MTG) and Metop - Second Generation (Metop-SG) will provide advanced capabilities and valuable data for monitoring fires and their impacts. This short course showcases a series of case studies and associated workflows in Jupyter notebooks for fire applications using proxy data from MTG and Metop-SG. Join us to explore the case studies focusing on the August Complex fires in 2020, California USA and the Mediterranean fires in summer 2021!
with Federico Fierli (EUMETSAT), Sabrina Szeto (MEEO), Carla Barroso (EUMETSAT)
6 July 2022, 13:00 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?
20 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
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
Image adapted from Earth System Dynamics, 11, 201–234, doi:10.5194/esd-11-201-2020, 2020
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
