Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

Researcher in climate prediction

The Nansen Environmental and Remote Sensing Center (NERSC) in Bergen, Norway, is seeking a researcher with expertise in seasonal-to-decadal climate prediction.

The successful candidate will contribute to the development of the Norwegian Climate Prediction Model (NorCPM). The researcher will focus on enhancing prediction accuracy and reliability, including the design and implementation of advanced post-processing solutions using data assimilation and machine learning.

Deadline: December 7, 2025.

Apply here!

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This study presents an AI-driven inversion framework that uses a deep-learning emulator of a radiative transfer model to estimate snow albedo and quantify the impact of light-absorbing particles (LAPs) such as dust, black carbon, and algae. Trained on 5.8 million simulations, the method accelerates computations by 30× while maintaining accuracy, enabling large-scale mapping from drone or satellite data. Applied to field observations, it revealed strong but variable LAP effects on albedo and complex interactions between multiple impurities, offering a powerful tool for improving melt forecasts and climate projections.

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