Last week the conference on Data Analysis and Modeling in Earth Sciences took place just around the corner in Hamburg. As one of the smaller conferences it stretched over three days. Each day was divided into two parts: in the morning three keynote speakers had 45 Minutes to give a broad overview on their topics, while in the afternoon the talks lasted 30 Minutes.
The talks covered topics from Nonlinear Time Series Analysis to Big Data and few were on the applied side. Some went really deep into the theoretical background, which was good to make the long talking times interesting, and so were consequently quite mathematical. A main theme was also statistical parametrisations, a topic, which is often not so high on the agenda on the conferences I visited in the past. And as always, extremes were on the topics list, as it is currently one of the main themes on which people focus their research. A poster session on the first evening, conference dinner on the second and coffee and lunch breaks animated further conversations.
All in all it was an interesting conference. Having mathematicians beside those on the applied side, was a nice change to the usual separation. Of course it makes it sometimes hard to follow long talks, when they go into many details, but it was an interesting experience. The usual international 12 + 3 talks are tiring as well, but more due to the fast change of topics and the necessity to think into new talks avery quarte rof an hour. Longer formats give you the feeling, more like a lecture during your studies, that you understand more of the presented content. As such I liked it, but of course it just works when the number of participants is low. Myself had a poster in the poster session and it was the first time that I presented my current main work on the NAO. As such it was an important step towards the first publication to it, which I hope to submit until the end of the year.