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

From planning to post publication, data are at the center of any research, requiring proficient organization skills in order to save time and nerves. This course will introduce you to useful tools and best practices that will make your work with research data much easier, more efficient, and enjoyable.

Data management plans: We will demonstrate how starting with a solid data management plan will help you to develop an idea of how your data are to be handled during and after your research project.

Useful R packages and GitHub: When it comes to streamlined data handling and automating repeated operations, the statistics and computing software R offers some great packages such as dplyr, tidyr and purrr which we will demonstrate the utility of. We will also present a way of getting rid of files such as final_data_version_9.csv with version control using git and GitHub.

Data in modeling: In the context of modeling, we will share how it is important to organize your input, output and processed data and how sometimes it is crucial to be aware of the storage availability for your data set.

Data citation and Reuse: As it gets more and more important to publish your data in a citable way, we will introduce the FAIR concept which allows data to be Findable, Accessible, Interoperable and Reusable. We will also address the question of why metadata is important and what you need to do to get a citable DOI (Digital Object Identifier) for your data set or a version of it.

At the end of the course, we will make some time to talk about specific questions concerning your own data sets. The course is not limited to any field of geosciences and the presented efficiency tools can be widely applied through all kinds of data sets. There are no specific software requirements for the course.

Public information:
https://youtu.be/tWn-0riN3oI - this is the YouTube LINK to the Short Course (link becomes active at starting time 12:30 CEST): Please use YouTube comment section for questions during/after the Short Course. Looking forward to meet you :-)

In an era of science that uses numerical models to better understand physical processes occurring on Earth, there is an increasing demand for robust empirical datasets to constrain these simulations. Generating robust datasets, especially data sets that express stratigraphic positions of sedimentary deposits as ages, often involves the use of multiple, independent geochronological techniques (e.g. different kinds of radioisotopic dating, magneto-, bio-, cyclostratigraphy and sedimentologic relationships along the succesion). The integration of these different kinds of geochronological information often poses challenges.

Age-depth models are the ultimate result of the integration of different geochronological techniques, and range from linear interpolation to more complex Bayesian techniques. We will introduce several modelling concepts and their application in a range of paleoenvironmental and paleoclimatic records. The Short Course will provide an introduction to the field of (Bayesian) age-depth models and will highlight the assumptions, benefits and limitations of different model approaches. It will prepare participants for independent application of suitable age-depth models to their data.

Public information:
We are planning on holding a 2-day course in Bremen this autumn, please keep an eye on the following website
https://www.marum.de/Ausbildung-Karriere/Courses-2020.html
and/or ask Christian.Zeeden@leibniz-liag.de to be informed on news regarding this.

For research to have the broadest possible impact and be of high community-supported caliber, it should be open and FAIR – Findable, Accessible, Interoperable, and Reusable. Methods to support open-access research output and tools are growing in popularity and are becoming increasingly easy to use. There is no time like the present to join the movement and this short course aims to introduce researchers to open and FAIR principles and methods, such as open access publishing, sharing data, code, and models, publishing negative/unexpected results, and efforts to increase reproducibility. FAIR science allows scientists, decision-makers, and the broader public to better access science and engineering research output and better understand its broader impacts. In this Short Course, invited experts will introduce and demonstrate the general concepts of open and FAIR methods and technologies and their benefits for the researcher. The general introduction will be followed by an interactive discussion on FAIRness in geoscience, the exchange of experiences, and an outlook to the future of research. Finally, we will give several examples of how you can make your science open and FAIR.

This short course is part of an on-going series to connect scientists with more resources to promote openness in geoscience, including a session and an open science special issue entitled "Open Hydrology: Advances towards fully reproducible, re-usable and collaborative research methods in Hydrology" convened by Nijzink et al. and other resource focused sessions (e.g., EarthArXiv) at EGU2020!

Poetry is one of the oldest forms of art, potentially even predating literacy. However, what on Earth does it have to do with science? One is usually subjective and emotive, whilst the other (for the most part) is objective and empirical. However, poetry can be a very effective tool in communicating science to a broader audience, and can even help to enhance the long-term retention of scientific content. During this session, we will discuss how poetry can be used to make (your) science more accessible to the world, including to your students, your professors, your (grand)parents, and the general public.

Writing a poem is not a particularly difficult task, but writing a good poem requires both dedication and technique; anyone can write poetry, but it takes practice and process to make it effective. In this session, experienced science-poets will discuss the basics of poetry, before encouraging all participants to grab a pen and start writing themselves. We aim to maximise empowerment and minimise intimidation. Participants will have the opportunity to work on poems that help to communicate their research, and will be provided with feedback and advice on how to make them more effective, engaging and empathetic.

Almost every policy decision, regardless of the country or government-level, has a scientific component to it. And while science alone will never make policy, it can allow policymakers to more accurately assess the benefits and potential consequences of different policy pathways.
The geosciences play a particularly relevant role in many policy decisions including, but not limited to, those relate to climate change, natural hazard management, energy security, space exploration, agriculture and ocean health.
However, how scientists can effectively communicate with policymakers and contribute to this process isn’t always so straight forward.
The first half of this session will focus on basic science for policy and communication techniques that can be used to engage policymakers. It will also explain how scientists can get involved with specific science for policy processes and initiatives.
The second half of the session will feature three speakers who are working at the science-policy interface. They will outline how their role bridges the gap between science and policy and some of the institutionalised routes that scientists can take to connect with policymakers.
This session is open to all EGU General Assembly participants and will be of particular interest to anyone who wants to make their research more policy relevant and learn more about science-policy.

Public information:
Speakers:
Solmaz Mohadjer: Post Doc at the University of Tübingen and ParsQuake Founder. @pars_quake
Flo Bullough: Head of Policy and Engagement, the Geological Society of London. @flo_dem
Chloe Hill: EGU Policy Officer. @Chl0e_Hill
Sophie Berger: Science Officer, IPCC Working Group 1, Technical Support Unit. @SoBrgr

You can watch this Short Course online from Friday 8 May, 12:30: https://youtu.be/BDRn5_zTKII

As people's opinions about science are polarizing around the globe, it is now more than ever a time for scientists to shorten the distance and engage with non-scientific audiences. One way of doing so is through science blogs. In this short course, four EGU division blog editors will introduce you to the world of science blogging, share some do's and don'ts, and most importantly: put you to work! The best way to see if science blogging is for you is to simply give it a go. Are you interested in creating your own blog or joining an existing blog team? Then this short course is for you!

Public information:
This Short Course will include a tutorial on how to prepare a blog post. You can send the resulting blog post to the short course team (EGU2020.sc.blogs@gmail.com) throughout the first week of May 2020 to get feedback or to even get published on one of the EGU blogs!
Link to the webinar: https://youtu.be/Djd2XkYFLrA

Over the past years it has become more and more clear that many people working in academia experience mental health issues. Factors like job insecurity, limited amount of time and poor management often cause high stress levels and can lead to mental health problems, such as depression, anxiety or emotional exhaustion. Following the EGU blog series ‘Mind your Head’ and the successful ECS Great Debate at the General Assembly in 2019, we aim to continue the dialogue and reduce the stigma surrounding mental illness.

In this short course we invite three panelists to share their experiences, how they dealt with it and what support they received. Afterwards we aim to actively engage the audience to discuss how to take control of their mental wellbeing and prioritise this in the current academic environment. We invite people from all career stages and disciplines to come and join us for this short course.

Public information:
This short course will be featured in the form of a webinar during the online EGU2020. We will host five panellists who will give short presentations about different topics within the theme of mental health, all from their own perspective. We will also take some time to discuss the effects of the current corona crisis on our mental health, and share some advice on how to manage yourself in these challenging times.

Speakers:
• Anne Pluymakers: Assistant Professor Experimental Fluid-Rock Interaction, TU Delft. Imposter syndrome (“I’m not good enough”).
• Christopher Jackson: Professor of Basin Analysis, Imperial College London. The importance of physical activity during stressful periods.
• Stephanie Zihms: Lecturer Researcher Development, University of the West of
Scotland. Adjusting to academic life with a chronical illness
• Jean Holloway: PhD Candidate in Geography, University of Ottawa. Overcoming anxiety.
• Joeri Tijdink: Psychiatrist and researcher, Amsterdam UMC. Research on researchers: An expert’s perspective.

Link to the webinar: https://youtu.be/kvbFDcEmx6U
For direct questions and comments contact us via elenora.vanrijsingen [at ] ens.fr