a petrochemical industry and its volatile organic compounds (VOCs) emission rate Cho, C., et al. (2022), a petrochemical industry and its volatile organic compounds (VOCs) emission rate, Elementa: Science of the Anthropocene, 9, doi:10.1525/elementa.2021.00015. Read more about a petrochemical industry and its volatile organic compounds (VOCs) emission rate
An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2 Ex Fu, D., et al. (2022), An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2 Ex, Atmos. Chem. Phys., doi:10.5194/acp-22-8259-2022. Read more about An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2 Ex
Aerosol variability, synoptic-scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC Painemal, D., et al. (2015), Aerosol variability, synoptic-scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC, J. Geophys. Res., 120, doi:10.1002/2015JD023175. Read more about Aerosol variability, synoptic-scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC
Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning Chen, X., et al. (2022), Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning, Geophys. Res. Lett., 49, e2021GL097548, doi:10.1029/2021GL097548. Read more about Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning
Resolving and predicting neighborhood vulnerability to urban heat and air pollution: insights from a pilot project of community science, GeoHealth Wang, J., et al. (2022), Resolving and predicting neighborhood vulnerability to urban heat and air pollution: insights from a pilot project of community science, GeoHealth, J. Zeng., 6, e2021GH000575. Read more about Resolving and predicting neighborhood vulnerability to urban heat and air pollution: insights from a pilot project of community science, GeoHealth
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China Wei, J., et al. (2022), Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China, Remote Sensing of Environment, 270, 112775, doi:10.1016/j.rse.2021.112775. Read more about Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China
Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Lu, Z., et al. (2021), Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season, Front. Remote Sens., 2, 766628, doi:10.3389/frsen.2021.766628. Read more about Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season
First Retrieval of AOD at Fine Resolution Over Shallow and Turbid Coastal Waters From MODIS Wang, Y., et al. (2021), First Retrieval of AOD at Fine Resolution Over Shallow and Turbid Coastal Waters From MODIS, Geophys. Res. Lett., 48, e2021GL094344, doi:https://doi.org/10.1029/2021GL094344. Read more about First Retrieval of AOD at Fine Resolution Over Shallow and Turbid Coastal Waters From MODIS
Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM) Wei, J., et al. (2021), Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM), Atmos. Chem. Phys., 21, 7863-7880, doi:10.5194/acp-21-7863-2021. Read more about Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)
Improved modelling of soil NOx emissions in a high temperature agricultural region: role of background emissions on NO2 trend over the US Wang, Y., et al. (2021), Improved modelling of soil NOx emissions in a high temperature agricultural region: role of background emissions on NO2 trend over the US, Environmental Research Letter, 16, 084061, doi:10.1088/1748-9326/ac16a3. Read more about Improved modelling of soil NOx emissions in a high temperature agricultural region: role of background emissions on NO2 trend over the US