A machine learning model for estimating daily maximum 8-hour average ozone concentrations using OMI and MODIS products
Author:
Funder
National Science and Technology Council
National Aeronautics and Space Administration
Ministry of Science and Technology, Taiwan
Publisher
Elsevier BV
Reference49 articles.
1. Spatial modelling of particulate matter air pollution sensor measurements collected by community scientists while cycling, land use regression with spatial cross-validation, and applications of machine learning for data correction;Adams;Atmos. Environ.,2020
2. Estimating monthly concentrations of ambient key air pollutants in Japan during 2010–2015 for a national-scale birth cohort;Araki;Environ. Pollut.,2021
3. A Geo-AI-based ensemble mixed spatial prediction model with fine spatial-temporal resolution for estimating daytime/nighttime/daily average ozone concentrations variations in Taiwan;Babaan;J. Hazard Mater.,2023
4. Observed relationships of ozone air pollution with temperature and emissions;Bloomer;Geophys. Res. Lett.,2009
5. An improved tropospheric NO2 column retrieval algorithm for the Ozone Monitoring Instrument;Boersma;Atmos. Meas. Tech.,2011
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