COSMOS resamples spatially binned empirical odor statistics and filters them with an AR(2) model to synthesize realistic odor time series about 35 times faster than reading CFD plume data.
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COSMOS: A Data-Driven Probabilistic Time Series simulator for Chemical Plumes across Spatial Scales
COSMOS resamples spatially binned empirical odor statistics and filters them with an AR(2) model to synthesize realistic odor time series about 35 times faster than reading CFD plume data.