2022
Prediction of daily mean and one-hour maximum PM2.5 concentrations and applications in Central Mexico using satellite-based machine-learning models
Gutiérrez-Avila I, Arfer K, Carrión D, Rush J, Kloog I, Naeger A, Grutter M, Páramo-Figueroa V, Riojas-Rodríguez H, Just A. Prediction of daily mean and one-hour maximum PM2.5 concentrations and applications in Central Mexico using satellite-based machine-learning models. Journal Of Exposure Science & Environmental Epidemiology 2022, 32: 917-925. PMID: 36088418, PMCID: PMC9731899, DOI: 10.1038/s41370-022-00471-4.Peer-Reviewed Original Research
2021
A 1-km hourly air-temperature model for 13 northeastern U.S. states using remotely sensed and ground-based measurements
Carrión D, Arfer KB, Rush J, Dorman M, Rowland ST, Kioumourtzoglou MA, Kloog I, Just AC. A 1-km hourly air-temperature model for 13 northeastern U.S. states using remotely sensed and ground-based measurements. Environmental Research 2021, 200: 111477. PMID: 34129866, PMCID: PMC8403657, DOI: 10.1016/j.envres.2021.111477.Peer-Reviewed Original ResearchConceptsAir temperature modelStatistical modelCoarse spatial resolutionSquare gridXGboost Machine Learning AlgorithmInterpolation of temperatureExample applicationHeat wavesTemperature modelAir temperatureSquare errorGrid cellsPrecise estimatesSatellite-based vegetationHourly modelSimilar accuracyWeighted rootGround-based measurementsWavesLand surface temperatureModel predictionsCross-validation schemeAmbient air temperatureMachine Learning AlgorithmsError