CORDIS Project
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The CLARION project aims to enhance climate change projections by refining land-surface models through observationally-constrained probability density functions. By identifying key parameters and utilizing advanced data assimilation techniques, it seeks to reduce uncertainty in climate-carbon cycle feedbacks, ultimatel…
Climate-carbon feedbacks are a key unknown when projecting future climate change.
Large ranges of feedbacks have been identified within the climate models used to make climate projections.
Therefore, to make reliable and believable climate projections, there is an urgent need to reduce this uncertainty.
In CLARION, I will focus on land-surface models (LSMs), the terrestrial component of climate models. I will investigate how observationally-constrained probability density functions (PDFs) of ke…
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