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to develop a land surface modelling framework that can provide such information and fulfills the needs of a very diverse user community, ranging from numerical weather forecasts to agricultural decision-making
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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scenarios and impacts, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model
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