Jenny Hagen, a young PhD candidate at Geophysical Institute and the Bjerknes Centre, is working with taking flood prediction the next step by introducing artificial intelligence. In this podcast she explain how they can speed up and improve flood prediction, even in a changing climate, by letting the machine learn from historical data.
Stephen Outten is a researcher at Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research.
Ingjald Pilskog is an associated professor at Western Norway University of Applied Sciences and connected to the Bjerknes Centre for Climate Research.
Arven etter Nansen – med forskar Marius Årthun
Igor Ezau - Heatwaves, the weather that can kill thousands in developed countries
North America's greatest export: Warm weather to Europe
SciSnack stories – articles from our young and early career scientists
Citizen scientists help bringing water to the weather models
Før og etter hockeykøllegrafen – med Øyvind Paasche
Storm tracks – A conveyor belt of warm moist air
neXtSIM - The next generation of ice forecast
Improving weather prediction in the Arctic
Kronprinsen på tokt til Antarktis
How to predict extreme events with Stefan Sobolowski
The push for predicting the future climate
Blir klimaet bedre om vi snakker norsk?
Surfing, oljesøl og torskeyngel
Siv Kari Lauvset og robotbøyene
Klimadirektørene om klimatilpasning og hvorfor de er optimister
Klimadirektørenes guide til COP24
Torskevarsel med Marius Årthun
1,5-gradersrapporten med Asgeir Sorteberg
Sesongvarsling med Erik Kolstad
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