An integrated model combining random forests and WRF/CMAQ model for high accuracy spatiotemporal PM2.5 predictions in the Kansai region of Japan
Tin Thongthammachart, Shin Araki, Hikari Shimadera, Shinnosuke Eto, Tomohito Matsuo, Akira Kondo
Topics & Concepts
CMAQEnvironmental scienceMean squared errorAir quality indexRandom forestLinear regressionMeteorologyPredictabilityWeather Research and Forecasting ModelStatisticsMathematicsComputer scienceGeographyMachine learningAir Quality and Health ImpactsAir Quality Monitoring and ForecastingAtmospheric chemistry and aerosols