Listen to podcast with Alertness-ph.d. Marvin Kähnert
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Ph.d. -researcher in Alertness Marvin Kähnert (left) was interviewed by Stephen Outten (right) in an episode of the climate podcast from the Bjerknes Centre for Climate Research. Photo: Ingjald Pilskog.
By Anna Kathinka Dalland Evans
Why is weather prediction in the Arctic so difficult? And how do weather models work?
Ph.d. student in the Alertness project Marvin Kähnert recently visited the Bjerknes Centre’s climate podcast to talk about his research for Alertness and about ph.d. life in general. The episode is called Improving Weather Prediction in the Arctic. Marvin says that participating in a podcast aimed at a broader, yet interested audience, was a lot of fun.
“Using tangible descriptions to explain my work is hopefully not only helpful for the audience, but it was also helpful for myself”, he explains. "Answering questions like What am I working on? Where would I situate myself? What is the key point I want to deliver? - and incorporating these points as fluently as possible into a dialogue was a challenging, yet very delightful experience.”
”The podcast has already caused people to ask me about my work on broken clocks”, Marvin continues. “I guess I can take that as a success!”
What is the link between Marvin’s ph.d. and broken clocks? Listen to the podcast featuring Marvin here, or find Bjerknessenteret on your favorite podcast app.
Marvin is a ph.d. student at the Bjerknes Centre and the University of Bergen, and he does his ph.d. within the Alertness project. He was interviewed by Stephen Outten, who, in addition to being involved in making the Bjerknes podcast, is a researcher at the Nansen Environmental and Remote Sensing Centre.
“This episode is about an area of study of great social and economic interest”, says Stephen Outten. “As sea ice retreats in a warmer world, new opportunities are opening up in the Arctic for better or worse, and providing reliable weather forecasts in this region is becoming ever more important.”
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You can also read a description of Marvin Kähnert’s work here: Exploring the predictive skill of computer models when predicting Arctic weather.