Gradient attribution from differentiable AI weather models acts as a calibrated, near-optimal but gaming-vulnerable signal for allocating rewards based on data value in participatory weather sensing.
Can the crowdsourcing data paradigm take atmospheric science to a new level? A case study of the urban heat island of London quantified using Netatmo weather stations
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Calibrating Attribution Proxies for Reward Allocation in Participatory Weather Sensing
Gradient attribution from differentiable AI weather models acts as a calibrated, near-optimal but gaming-vulnerable signal for allocating rewards based on data value in participatory weather sensing.