Organization:
NASA Langley Research Center
Business Address:
Climate Science Branch
Hampton, VA
United StatesCo-Authored Publications:
- Loeb, N., et al. (2018), Impact of Ice Cloud Microphysics on Satellite Cloud Retrievals and Broadband Flux Radiative Transfer Model Calculations, J. Climate, 31, 1851-1864, doi:10.1175/JCLI-D-17-0426.1.
- Su, W., et al. (2018), Determining the Shortwave Radiative Flux From Earth Polychromatic Imaging Camera, J. Geophys. Res., 123, 11,479-11,491, doi:10.1029/2018JD029390.
- Ham, S., et al. (2017), Cloud occurrences and cloud radiative effects (CREs) from CERES-CALIPSO-CloudSat-MODIS (CCCM) and CloudSat radar-lidar (RL) products, J. Geophys. Res., 122, doi:10.1002/2017JD026725.
- Ham, S., S. Kato, and F. G. Rose (2017), Examining impacts of mass-diameter (m-D) and area-diameter (A-D) relationships of ice particles on retrievals of effective radius and ice water content from radar and lidar measurements, J. Geophys. Res., 122, doi:10.1002/2016JD025672.
- Dong, X., et al. (2016), A radiation closure study of Arctic stratus cloud microphysical properties using the collocated satellite-surface data and Fu-Liou radiative transfer model, J. Geophys. Res., 121, doi:10.1002/2016JD025255.
- Ham, S., et al. (2014), Effects of 3-D clouds on atmospheric transmission of solar radiation: Cloud type dependencies inferred from A-train satellite data, J. Geophys. Res., 119, 943-963, doi:10.1002/2013JD020683.
- Kato, S., et al. (2014), Retrieval of Atmospheric and Cloud Property Anomalies and Their Trend from Temporally and Spatially Averaged Infrared Spectra Observed from Space, J. Climate, 27, 4403-4420, doi:10.1175/JCLI-D-13-00566.1.
- Shrestha, A. K., et al. (2014), Unfiltering Earth Radiation Budget Experiment (ERBE) Scanner Radiances Using the CERES Algorithm and Its Evaluation with Nonscanner Observations, J. Atmos. Oceanic Technol., 31, 843-859, doi:10.1175/JTECH-D-13-00072.1.
- Kato, S., et al. (2013), Surface Irradiances Consistent with CERES-Derived Top-of-Atmosphere Shortwave and Longwave Irradiances, J. Climate, 26, 2719-2740, doi:10.1175/JCLI-D-12-00436.1.
- Randles, C., et al. (2013), Intercomparison of shortwave radiative transfer schemes in global aerosol modeling: Results from the AeroCom Radiative Transfer Experiment, Atmos. Chem. Phys., 13, 2347-2379, doi:10.5194/acp-13-2347-2013.
- Spangenberg, D., et al. (2013), Contrail radiative forcing over the Northern Hemisphere from 2006 Aqua MODIS data, Geophys. Res. Lett., 40, 1-6, doi:10.1002/GRL.50168.
- Su, W., et al. (2013), Global all-sky shortwave direct radiative forcing of anthropogenic aerosols from combined satellite observations and GOCART simulations, J. Geophys. Res., 118, 655-669, doi:10.1029/2012JD018294.
- Wielicki, B., et al. (2013), Achieving Climate Change Absolute Accuracy in Orbit, Bull. Am. Meteorol. Soc., 94, 1519-1539, doi:10.1175/BAMS-D-12-00149.1.
- Kato, S., et al. (2012), Uncertainty Estimate of Surface Irradiances Computed with MODIS-, CALIPSO-, and CloudSat-Derived Cloud and Aerosol Properties, Surv. Geophys., 33, 395-412, doi:10.1007/s10712-012-9179-x.
- Kato, S., et al. (2011), Improvements of top‐of‐atmosphere and surface irradiance computations with CALIPSO‐, CloudSat‐, and MODIS‐derived cloud and aerosol properties, J. Geophys. Res., 116, D19209, doi:10.1029/2011JD016050.
- Kato, S., et al. (2011), Detection of Atmospheric Changes in Spatially and Temporally Averaged Infrared Spectra Observed from Space, J. Climate, 24, 6392-6407, doi:10.1175/JCLI-D-10-05005.1.
- Kato, S., et al. (2010), Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles, J. Geophys. Res., 115, D00H28, doi:10.1029/2009JD012277.
- Dong, X., et al. (2008), Using observations of deep convective systems to constrain atmospheric column absorption of solar radiation in the optically thick limit, J. Geophys. Res., 113, D10206, doi:10.1029/2007JD009769.
- Loeb, N., et al. (2007), Variability in global top-of-atmosphere shortwave radiation between 2000 and 2005, Geophys. Res. Lett., 34, L03704, doi:10.1029/2006GL028196.
- Wang, D., et al. (2007), Real-time mesoscale forecast support during the CLAMS field campaign, Adv. Atmos. Sci., 24, 599-605, doi:10.1007/s00376-007-0599-3.
- Jin, Z., et al. (2005), Radiative transfer modeling for the CLAMS Experiment, J. Atmos. Sci., 62, 10531071.
Note: Only publications that have been uploaded to the
ESD Publications database are listed here.