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.
Meike Becker og Ingunn Skjevlan - Deepwater acidification
Predicting algae blooms - a new tool in our arsenal
Not so green transition
Pacific islands in a rising ocean
The Breathing Ocean
We are very fond of mud! - paleoclimate with Eystein Jansen
Instruments in the dark – How to understand Antarctica
How can we predict sea ice?
The One Ocean Expedition
The hunt for ancient DNA under the sea ice
Havbruk og klima: Frode Vikebø om hvordan fisk påvirkes av temperatur i havet
Fysikk og klima: Martin Fernø om hvordan (og hvorfor!) vi fanger og lagrer CO2
Energi og klima: Helge Drange om hvor lenge vi har visst om global oppvarming
Geovitenskap og klima: Kikki Kleiven om hva fortiden kan fortelle oss om fremtiden
Matematikk og klima: Marie Pontoppidan regner på regnet
The disappearance of water in the Nordic seas
The climate cost of planting trees
Parisavtalen 5 år etter – med direktør Tore Furevik
Are we melting Antarctica irreversibly?
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