Litcius/Paper detail

Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques

Gregori de Arruda Moreira, Guadalupe Sánchez-Hernández, Juan Luís Guerrero-Rascado, Alberto Cazorla, Lucas Alados‐Arboledas

2021Atmospheric Research47 citationsDOIOpen Access PDF

Topics & Concepts

CeilometerRadiometerPlanetary boundary layerMeteorologyGradient boostingOverfittingEnvironmental scienceRemote sensingAlgorithmResidualComputer scienceMathematicsMachine learningAerosolArtificial neural networkGeologyGeographyRandom forestTurbulenceUrban Heat Island MitigationMeteorological Phenomena and SimulationsAtmospheric aerosols and clouds
Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques | Litcius