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Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species

N. Senthilkumar, Mark Gilfether, Howard H. Chang, Armistead G. Russell, James A. Mulholland

2022Atmospheric Environment22 citationsDOIOpen Access PDF

Topics & Concepts

CMAQParticulatesEnvironmental sciencePollutantAir quality indexAir pollutionAtmospheric sciencesPollutionChemical transport modelMeteorologySpatial variabilityStatisticsChemistryMathematicsGeographyEcologyGeologyOrganic chemistryBiologyAir Quality and Health ImpactsAtmospheric chemistry and aerosolsClimate Change and Health Impacts
Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species | Litcius