Atmospheric Composition

Wang, Y., 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.

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.

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.

Ueyama, R., et al. (2020), Impact of Convectively Detrained Ice Crystals on the Humidity of the Tropical Tropopause Layer in Boreal Winter, J. Geophys. Res., 125, 1-17, doi:10.1029/2020JD032894.

Engelbrecht, F., et al. (2015), Projections of rapidly rising surface temperatures over Africa under, Environ. Res. Lett., 10, 085004, doi:10.1088/1748-9326/10/8/085004.

Kharbouche, S., et al. (2017), Assessment of Satellite-Derived Surface Reflectances by NASA’s CAR Airborne Radiometer over Railroad Valley Playa, Remote Sensing, 9, 562, doi:10.3390/rs9060562.

Chen, N., et al. (2018), New neural network cloud mask algorithm based on radiative transfer T simulations, Remote Sensing of Environment, 219, 62-71, doi:10.1016/j.rse.2018.09.029.

Melnikova, I., and C.K. Gatebe (2018), Vertical profile of cloud optical parameters derived from airborne, J. Quant. Spectrosc. Radiat. Transfer, 214, 39-60.

Várnai, T., et al. (2019), Developing an Aircraft-Based Angular Distribution Model of Solar Reflection from Wildfire Smoke to Aid Satellite-Based Radiative Flux Estimation, doi:10.3390/rs11131509.