AI RESEARCH
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
arXiv CS.LG
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ArXi:2603.09974v1 Announce Type: new Accurately upscaling terrestrial carbon fluxes is central to estimating the global carbon budget, yet remains challenging due to the sparse and regionally biased distribution of ground measurements. Existing data-driven upscaling products often fail to generalize beyond observed domains, leading to systematic regional biases and high predictive uncertainty. We