Acronym: 
TCP
Manager: 
Alex Pszenny
Synonyms: 
Tropospheric Chemistry Program

Detecting nighttime fire combustion phase by hybrid application of visible T and infrared radiation from Suomi NPP VIIRS

Wang, J., et al. (2020), Detecting nighttime fire combustion phase by hybrid application of visible T and infrared radiation from Suomi NPP VIIRS, Remote Sensing of Environment, 237, 111466, doi:10.1016/j.rse.2019.111466.

Short communication Tropospheric SO2 and NO2 in 2012–2018: Contrasting views of two sensors (OMI and OMPS) from space

Wang, J., and J. Wang (2020), Short communication Tropospheric SO2 and NO2 in 2012–2018: Contrasting views of two sensors (OMI and OMPS) from space, Atmos. Environ., 223, 117214, doi:10.1016/j.atmosenv.2019.117214.

Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space

Xu, R., et al. (2019), Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space, Atmos. Meas. Tech., 12, 3269-3288, doi:10.5194/amt-12-3269-2019.

Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts

Wang, J., et al. (2020), Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts, Atmos. Chem. Phys., 20, 6651-6670, doi:10.5194/acp-20-6651-2020.

Development of a nighttime shortwave radiative transfer model for remote T sensing of nocturnal aerosols and fires from VIIRS

Wang, J., et al. (2020), Development of a nighttime shortwave radiative transfer model for remote T sensing of nocturnal aerosols and fires from VIIRS, Remote Sensing of Environment, 241, 111727, doi:10.1016/j.rse.2020.111727.

An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign

Hou, W., et al. (2020), An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign, J. Quant. Spectrosc. Radiat. Transfer, 253, 107161, doi:10.1016/j.jqsrt.2020.107161.

Influence of cloud, fog, and high relative humidity during pollution transport events in South Korea: Aerosol properties and PM2.5 variability

Eck, T. F., et al. (2020), Influence of cloud, fog, and high relative humidity during pollution transport events in South Korea: Aerosol properties and PM2.5 variability, Atmos. Environ., 232, 117530, doi:10.1016/j.atmosenv.2020.117530.

Meteorology influencing springtime air quality, pollution transport, and visibility in Korea

Peterson, D. A., et al. (2020), Meteorology influencing springtime air quality, pollution transport, and visibility in Korea, air quality, pollution transport, and visibility in Korea. Elem Sci, 7, 57, doi:10.1525/elementa.395.

Evaluation of simulated O3 production efficiency during the KORUS-AQ campaign: Implications for anthropogenic NOx emissions in Korea

Oak, Y. J., et al. (2019), Evaluation of simulated O3 production efficiency during the KORUS-AQ campaign: Implications for anthropogenic NOx emissions in Korea, Elem Sci Anth, 7, 56, doi:10.1525/elementa.394.

Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ

Jordan, C. E., et al. (2020), Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ, variability across the South Korean Peninsula during KORUS-AQ, 8, 28, doi:10.1525/elementa.424.

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