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The past decades have been associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due
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associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due to their imperfect representation of ocean
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. CLEANMAT brings together seventeen partners from eight countries, spanning universities, research and technology organisations, industrial companies, SMEs and industrial associations. The project aims
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consultancies and government. The central aim of FIRM is to estimate flood and water nuisance risk information as realistically as possible and to make it suitable for use in the financial sector. FIRM consists
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strategy as a way to mitigate climate change by increasing the ocean’s capacity to store anthropogenic CO2 emissions. Several strategies such as (1) direct ocean carbon capture, and (2) ocean alkalinity
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). Join us! The Antarctic seasonal sea-ice zone is rapidly changing, with consequences for the key primary producers: microalgae growing in sea-ice and water. While traditionally regarded as purely
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’ (MACS). Join us! The Antarctic seasonal sea-ice zone is rapidly changing, with consequences for the key primary producers: microalgae growing in sea-ice and water. While traditionally regarded as purely
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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amplitude of changes in polar regions, the associated processes and the potential impacts: ice-sheet, glacier and ice-cap dynamics, ice shelves-ocean-atmosphere interactions, snow processes and surface mass