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, this project aims to contribute to a better understanding of the transient climate response to anthropogenic emissions and the implications for carbon-cycle feedbacks for atmospheric CO2 and climate change
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biodiversity. However, drylands face significant challenges from climate change (e.g. changes in temperature and precipitation patterns) and intensified anthropogenic activities and disturbance (e.g. over
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feedbacks simulated in Earth system models (ESM), thereby reducing uncertainty in climate change projections. AI4PEX is based on a multidisciplinary approach, focused on “learning” from observations
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