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Breakthrough in forecasting El Niño phenomenon in the Atlantic

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Our researchers are employed either at NORCE, UiB, the Nansen Center or the Institute of Marine Research. The researchers work together across various scientific disciplines. Find researchers with backgrounds in meteorology, oceanography, geology, geophysics, biology and mathematics, among others.

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Projects

Researchers at Bjerknes are involved in several projects, both nationally and internationally. The projects are owned by the partner institutions, with the exception of our strategic projects.

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Publications

Researchers at the Bjerknes Center publish more than 200 scientific articles each year.

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Events

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05.05.25

Nansen lecture: Understanding polar oceans and their global impact: contributions from CHINARE

Abstract The polar oceans, including the Southern Ocean and the Arctic Ocean, are key players in global ocean circulation, climate change, as well as marine ecosystems. The year of 2024 marks the 40th anniversary of Chinese National Antarctica and Arctic Research Expedition (CHINARE), which has completed 41 Antarctic and 14 Arctic Ocean expeditions so far, with oceanographic surveys mainly focused on the Prydz Bay, Ross Sea and Amundsen Sea around the Antarctica, and also on the western and central Arctic Ocean. CHINARE has made significant progress in capacity building, ocean observation and scientific research to understand the polar oceans and their global impact, contributing considerably to international programs such as SOOS, PPP, MOSAiC, DAMOCLES and DBO. Here we review some of these progress and contributions, mostly from the perspective of physical oceanography, and briefly outline our future plans and research priorities in the years to come. China is surely in the process of largely enhancing its polar research activities, which will provide support and new opportunities for international collaboration in this important research area, especially with our European colleagues. Speaker information Dake Chen is a physical oceanographer and a member of Chinese Academy of Sciences. He worked at Lamont-Doherty Earth Observatory and Second Institute of Oceanography for many years, and is presently the director of the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai). His academic career has been devoted to oceanographic research, with significant achievements in the areas of coastal ocean dynamics, large-scale ocean circulation. as well as climate variability. His current research interest includes smart ocean observing technology, tropical ocean-atmosphere interaction, as well as polar environment and climate change. He is also serving in many scientific organizations and editorial boards, and is playing an instrumental role in promoting programs of oceanic and polar research.
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06.05.25

Klimaomstillngskonferansen

Welcome to Sogndal – conference is held in Norwegian Årets klimaomstillingskonferanse er i Sogndal 6.-7. mai. Programmet er nå sluppet – påmeldingsfrist 11. april https://klimaomstilling.no/ Velkommen til vakre Sogndal og givende møter med forskere, offentlige aktører og næringsliv.
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06.05.25

Machine learning and the Rise of Data-Driven Models for Weather and Climate

Abstract With the modern availability of data and computing resources, machine learning is becoming an important tool in solving problems in many domains, from robotics and medicine to weather and climate. In this talk I will attempt to give an accessible introduction to core machine learning concepts, aimed at beginners in the topic. I’ll walk through ideas like supervised, unsupervised and representation learning and share some examples from my own research. I will end by looking at recent developments in large general-purpose foundation models, such as AURORA, and how they’re being applied in climate forecasting and beyond. Speaker information Linus Ericsson is a postdoctoral researcher at the University of Edinburgh, specialising in representation learning, neural architectures, and domain adaptation. His current research explores efficient ways of finding the right neural network structure for the right task and how to make existing networks cheaper to run. Linus has published in top venues such as NeurIPS, CVPR, and the IEEE Signal Processing Magazine. His interests span a wide array of topics, including multimodal learning and responsible AI applications in climate and healthcare.