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Retrieval of global PM 2.5 based on multi-source data fusion We estimate the global daily PM 2.5 exposures from all sources at a 0.1 0.1 horizon resolution using a multilayer machine-learning retrieval model that fuses data from ground-monitoring measurements, satellite retrievals, GEOS-Chem model simulations, meteorological fields, reanalysis data and population distribution

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