This short course will focus on modern, data driven analytical methods in the field of Deep Learning with MATLAB. Deep Learning represents powerful artificial intelligence tools used to solve complex modeling problems in earth and ocean sciences, planetary and atmospheric sciences, and related math and geoscience fields. The MATLAB based Deep Learning platform provides algorithms and tools for creating and training deep neural networks. These networks are used to simulate processes of past, present and future environmental events in this wide range of disciplines.

Participants will be able to adopt concepts of Deep Learning for their areas of research such as dynamics, preconditions, and trends related to the surface, subsurface and the atmosphere of the planets. The content level will be 80% beginner, 10% intermediate, and 10% advanced. Scientists from all disciplines are invited to participate in this course. Any previous experience with Deep Learning and distributed computing will be beneficial but not necessary for participation.

The maximum number of participants is 65, in order to guarantee direct supervision for the hands-on part of the session.

Public information:
The seminar will take place on Wed, 13 May, 10:30-12:00 CEST. Register at:

https://www.mathworks.com/company/events/seminars/deep-learning-for-geosciences-with-matlab-made-easy-3090396.html

This is the replacement event for the physical EGU session and is held in addition to our EGU Sharing Geosciences Online session. The number of participants for this WebEx is not limited.

This short course is an opportunity to learn about Copernicus data for Atmospheric Composition and to get examples how to develop your own workflows based on sample applications. The European Union Copernicus programme is open and free for everyone - whether from academic, governement, 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.
The sessions will be hands-on and supported by Earth Observation and Model experts to discover data, handle them and produce plots out of a sample of the Copernicus data. You will make use of a series of freely available tools specifically developed for these applications including Jupyter Notebook modules, to have an easy and intuitive way to make use of Python programming. No experience is necessary as various exercises will be provided for a wide range of skill levels and applications. It is recommended to bring your laptop along.

Public information:
Public information:
This short course will provided online on 26 May 2020, starting at 10 (CEST)
For further information and registration please visit:
https://training.eumetsat.int/course/view.php?id=366

Satellite data provides information on the marine environment that can be used for many applications – from water quality and early warning systems, to climate change studies and marine spatial planning. The most modern generation of satellites offer improvements in spatial and temporal resolution as well as a constantly evolving suite of products.

Data from the European Union Copernicus programme is open and free for everyone to use however they wish - whether from academic, governance, or commercial backgrounds. The programme has an operational focus, with satellite constellations offering continuity of service for the foreseeable future. There is also a growing availability of open source tools that can be used to work with this data.

This short course is an opportunity to learn about the data available from the Copernicus Sentinel-3 satellite and downstream services, and then, with support from marine Earth Observation experts, to develop your own workflows. The sessions will be interactive, using the WeKEO DIAS hosted processing, Sentinel Applications Platform (SNAP) software, and Python programming. No experience is necessary as various exercises will be provided for a wide range of skill levels and applications, however participants should bring their own laptops and be prepared to install open source software in advance.

Public information:
This course will still be held, post-EGU week, on the the 19th May 10:00 CEST - 12:00 CEST (8:00 - 10:00 UTC) . More information is available at https://tinyurl.com/ya5fhkaj

Satellite based climate data records play an increasing role in climate monitoring and help to answer climate related questions. Nowadays satellite based climate data records cover a time period of several decades. EUMETSAT and it’s Satellite Application Facilities (SAF) provide a number of high quality climate data records for various geophysical variables, such as solar radiation, land surface temperature, cloud fractional cover, cloud microphysical variables, and many more, derived from both, geostationary and polar orbiting satellites.

These climate data records are free and open to everyone. They continue to be reprocessed to account for improvements of the algorithm and to include recent time periods. In addition to the data, free software tools, such as the CM SAF R Toolbox, are developed and provided by the SAF’s for users to work with the data.

This short course is an opportunity to get an overview about the climate data records available from the EUMETSAT Satellite Application Facilities, learn how to access them and gain some first experiences in how to work with the software tools provided. Participants will have the opportunity do hands-on exercises using the data and tools provided. Data and software developers will be available to help and answer questions.

Participants are invited to bring a laptop to the course, to install the software tools beforehand (www.cmsaf.eu/tools) and to download some data of interest from the Climate Monitoring SAF (www.cmsaf.eu). A guidance on how to do that is given in the COMET Module “Basic Climate Analysis using the CM SAF R Toolbox” available on https://www.meted.ucar.edu.

In addition participants are invited check out the data and products provided by the Land Surface Analysis SAF (https://landsaf.ipma.pt/en/), and the SAF on support to Operational Hydrology and Water Management (http://hsaf.meteoam.it/).

Public information:
This short course will provided online on 20 May 2020, starting at 8:30 UTC(!). For further information and registration please visit: https://training.eumetsat.int/course/view.php?id=158