Seiji Kato

Organization

NASA Langley Research Center

First Author Publications

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. of Climate, 27, 4403-4420, doi:10.1175/JCLI-D-13-00566.1.
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.
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.
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), 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. (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. (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.
Kato, S., and A. Marshak (2009), Solar zenith and viewing geometry-dependent errors in satellite retrieved cloud optical thickness: Marine stratocumulus case, J. Geophys. Res., 114, D01202, doi:10.1029/2008JD010579.
Kato, S., et al. (2006), Estimate of satellite-derived cloud optical thickness and effective radius errors and their effect on computed domain-averaged irradiances, J. Geophys. Res., 111, D17201, doi:10.1029/2005JD006668.
Kato, S., et al. (2006), Seasonal and interannual variations of top-of-atmosphere irradiance and cloud cover over polar regions derived from the CERES data set, Geophys. Res. Lett., 33, L19804, doi:10.1029/2006GL026685.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Chen, H., et al. (2020), Shortwave Radiative Effect of Arctic Low-Level Clouds: Evaluation of Imagery-Derived Irradiance with Aircraft Observations, Atmos. Meas. Tech., in review, doi:10.5194/amt-2019-344.
Thorsen, T., et al. (2020), Aerosol Direct Radiative Effect Sensitivity Analysis, J. Climate, 33, 6119-6139, doi:10.1175/JCLI-D-19-0669.1.
Shrestha, A.K., et al. (2019), New Temporal and Spectral Unfiltering Technique for ERBE/ERBS WFOV Nonscanner Instrument Observations, IEEE Trans. Geosci. Remote Sens., 57, 4600-4611, doi:10.1109/TGRS.2019.2891748.
Chen, X., et al. (2018), Using AIRS and ARM SGP Clear-Sky Observations to Evaluate Meteorological Reanalyses: A Hyperspectral Radiance Closure Approach, J. Geophys. Res., 123, 11,720-11,734, doi:10.1029/2018JD028850.
Song, Q., et al. (2018), Net radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurements, Atmos. Chem. Phys., 18, 11303-11322, doi:10.5194/acp-18-11303-2018.
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., et al. (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.
Xu Liu, X.L., et al. (2017), Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection, J. Climate, 30, 3979-3998, doi:10.1175/JCLI-D-16-0704.1.
Shrestha, A.K., et al. (2017), Temporal and Spectral Unfiltering of ERBS WFOV Nonscanner Instrument observations for the period over 1985 to 1998, Journal Of IEEE Tgrs, 1-11.
Ham, S., et al. (2016), Correction of ocean hemispherical spectral reflectivity for longwave irradiance computations, J. Quant. Spectrosc. Radiat. Transfer, 171, 57-65, doi:10.1016/j.jqsrt.2015.12.003.
Oreopoulos, L., et al. (2016), Radiative effects of global MODIS cloud regimes, J. Geophys. Res., 121, 2299-2317, doi:10.1002/2015JD024502.
Ham, S., et al. (2015), Improving the modelling of short-wave radiation through the use of a 3D scene construction algorithm, Q. J. R. Meteorol. Soc., 141, 1870-1883, doi:10.1002/qj.2491.
L'Ecuyer, T., et al. (2015), The Observed State of the Energy Budget in the Early Twenty-First Century, J. Climate, 28, 8319-8346, doi:10.1175/JCLI-D-14-00556.1.
Stephens, G., et al. (2015), The albedo of Earth, Rev. Geophys., 53, 141-163, doi:10.1002/2014RG000449.
Taylor, P.C., et al. (2015), Covariance between Arctic sea ice and clouds within atmospheric state regimes at the satellite footprint level, J. Geophys. Res., 120, 12,656-12,678, doi:10.1002/2015JD023520.
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.
Liu, C., et al. (2014), A two-habit model for the microphysical and optical properties of ice clouds, Atmos. Chem. Phys., 14, 13719-13737, doi:10.5194/acp-14-13719-2014.
Oreopoulos, L., et al. (2014), An examination of the nature of global MODIS cloud regimes, J. Geophys. Res., 119, 8362-8383, doi:10.1002/2013JD021409.
Painemal, D., et al. (2014), Boundary layer regulation in the southeast Atlantic cloud microphysics during the biomass burning season as seen by the A-train satellite constellation, J. Geophys. Res., 119, doi:10.1002/2014JD022182.
Phojanamongkolkij, N., et al. (2014), A Comparison of Climate Signal Trend Detection Uncertainty Analysis Methods, J. Climate, 27, 3363-3376, doi:10.1175/JCLI-D-13-00400.1.
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.
Sun-Mack, S., et al. (2014), Regional Apparent Boundary Layer Lapse Rates Determined from CALIPSO and MODIS Data for Cloud-Height Determination, J. Appl. Meteor. Climat., 53, 990-1011, doi:10.1175/JAMC-D-13-081.1.
Ham, S., et al. (2013), Vertical structure of ice cloud layers from CloudSat and CALIPSO measurements and comparison to NICAM simulations, J. Geophys. Res., 118, 9930-9947, doi:10.1002/jgrd.50582.
Li, J.-L.F., et al. (2013), Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis, J. Geophys. Res., 118, 8166-8184, doi:10.1002/jgrd.50378.
Randles, C.A., 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.
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.
Barker, H.W., et al. (2012), Computation of Solar Radiative Fluxes by 1D and 3D Methods Using Cloudy Atmospheres Inferred from A-train Satellite Data, Surv. Geophys., 33, 657-676, doi:10.1007/s10712-011-9164-9.
Cheng, A., et al. (2012), Impact of a cloud thermodynamic phase parameterization based on CALIPSO observations on climate simulation, J. Geophys. Res., 117, D09103, doi:10.1029/2011JD017263.
Stephens, G., et al. (2012), The Global Character of the Flux of Downward Longwave Radiation, J. Climate, 25, 2329-2340, doi:10.1175/JCLI-D-11-00262.1.
Stephens, G.L., et al. (2012), An update on Earth’s energy balance in light of the latest global observations, Nature Geoscience, 5, 691-696, doi:10.1038/NGEO1580.
Sun, W., et al. (2011), On the consistency of CERES longwave flux and AIRS temperature and humidity profiles, J. Geophys. Res., 116, D17101, doi:10.1029/2011JD016153.
Sun, W., et al. (2011), A study of subvisual clouds and their radiation effect with a synergy of CERES, MODIS, CALIPSO, and AIRS data, J. Geophys. Res., 116, D22207, doi:10.1029/2011JD016422.
Saunders, W., et al. (2009), Where is the best site on Earth? Domes A, B, C, and F, and Ridges A and B, Publ. Astronom. Soc. Pac., 121, 976-992.
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.
Mace, G.G., et al. (2006), Cloud radiative forcing at the Atmospheric Radiation Measurement Program Climate Research Facility: 1. Technique, validation, and comparison to satellite-derived diagnostic quantities, J. Geophys. Res., 111, D11S90, doi:10.1029/2005JD005921.
Sun, W., et al. (2004), Estimation of instantaneous TOA albedo at 670 nm over ice clouds from POLDER multidirectional measurements, J. Geophys. Res., 109, D02210, doi:10.1029/2003JD003801.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration