Bruce Wielicki
Organization:
NASA Langley Research Center
Email:
Business Address:
Climate Science Branch
Hampton, VA
United StatesFirst Author Publications:
- 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.
- Wielicki, B., et al. (2005), Changes in Earth’s Albedo Measured by Satellite, Science, 308, 825, doi:10.1126/science.1106484.
Co-Authored Publications:
- Sun, W., et al. (2019), Modeling polarized solar radiation from a snow surface for correction of polarization-induced error in satellite data, J. Quant. Spectrosc. Radiat. Transfer, 222–223, 154-169, doi:10.1016/j.jqsrt.2018.10.011.
- Xu Liu, 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.
- Cooke, R., et al. (2014), Value of Information for Climate Observing Systems, Environ Syst Decis, doi:10.1007/s10669-013-9451-8.
- 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.
- 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.
- Roithmayr, C., et al. (2014), CLARREO Approach for Reference Intercalibration of Reflected Solar Sensors: On-Orbit Data Matching and Sampling, IEEE Trans. Geosci. Remote Sens., 52, 6762-6774, doi:10.1109/TGRS.2014.2302397.
- Lukashin, C., et al. (2013), Uncertainty Estimates for Imager Reference Inter-calibration with CLARREO Reflected Solar Spectrometer, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 51, doi:10.1109/TGRS.2012.2233480.
- Jin, Z., et al. (2011), Spectral kernel approach to study radiative response of climate variables and interannual variability of reflected solar spectrum, J. Geophys. Res., 116, D10113, doi:10.1029/2010JD015228.
- 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.
- Smith, G. L. S., et al. (2011), Clouds and Earth Radiant Energy System (CERES), a review: Past, present and future, Advances in Space Research, 48, 254-263, doi:10.1016/j.asr.2011.03.009.
- 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.
- Lin, B., et al. (2010), Estimations of climate sensitivity based on top-of-atmosphere radiation imbalance, Atmos. Chem. Phys., 10, 1923-1930, doi:10.5194/acp-10-1923-2010.
- Sandford, S. P., et al. (2010), CLARREO: cornerstone of the climate observing system measuring decadal change through accurate emitted infrared and reflected solar spectra and radio occultation, Proc. SPIE, 7826, doi:10.1117/12.866353.
- Hinkelman, L., et al. (2009), Surface insolation trends from satellite and ground measurements: Comparisons and challenges, J. Geophys. Res., 114, D00D20, doi:10.1029/2008JD011004.
- 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.
- Lin, B., et al. (2008), Assessment of global annual atmospheric energy balance from satellite observations, J. Geophys. Res., 113, D16114, doi:10.1029/2008JD009869.
- Minnis, P., et al. (2008), Cloud Detection in Nonpolar Regions for CERES Using TRMM VIRS and Terra and Aqua MODIS Data, IEEE Trans. Geosci. Remote Sens., 46, 3857-3884, doi:10.1109/TGRS.2008.2001351.
- Xu, K., et al. (2008), Statistical Analyses of Satellite Cloud Object Data from CERES. Part IV: Boundary Layer Cloud Objects during 1998 El Niño, J. Climate, 21, 1500-1521, doi:10.1175/2007JCLI1710.1.
- Hu, Y., et al. (2007), Global statistics of liquid water content and effective number concentration of water clouds over ocean derived from combined CALIPSO and MODIS measurements, Atmos. Chem. Phys., 7, 3353-3359, doi:10.5194/acp-7-3353-2007.
- Lin, B., et al. (2007), Coincident occurrences of tropical individual cirrus clouds and deep convective systems derived from TRMM observations, Geophys. Res. Lett., 34, L14804, doi:10.1029/2007GL029768.
- 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.
- Loeb, N., et al. (2007), Multi-Instrument Comparison of Top-of-Atmosphere Reflected Solar Radiation, J. Climate, 20, 575, doi:10.1175/JCLI4018.1.
- Luo, Y., et al. (2007), Statistical Analyses of Satellite Cloud Object Data from CERES. Part III: Comparison with Cloud-Resolving Model Simulations of Tropical Convective Clouds, J. Atmos. Sci., 64, 762-785, doi:10.1175/JAS3871.1.
- Xu, K., et al. (2007), Statistical Analyses of Satellite Cloud Object Data from CERES. Part II: Tropical Convective Cloud Objects during 1998 El Niño and Evidence for Supporting the Fixed Anvil Temperature Hypothesis, J. Climate, 20, 819-842, doi:10.1175/JCLI4069.1.
- Ignatov, A., et al. (2006), Consistency of global MODIS aerosol optical depths over ocean on Terra and Aqua CERES SSF data sets, J. Geophys. Res., 111, D14202, doi:10.1029/2005JD006645.
- Lin, B., et al. (2006), The Effect of Environmental Conditions on Tropical Deep Convective Systems Observed from the TRMM Satellite, J. Climate, 19, 5745-5761.
- Anderson, T. L., et al. (2005), An “A-Train” Strategy for Quantifying Direct Climate Forcing by Anthropogenic Aerosols, Bull. Am. Meteorol. Soc., 1795, doi:10.1175/BAMS-86-12-1795.
- Hansen, J., et al. (2005), Efficacy of climate forcings, J. Geophys. Res., 110, D18104, doi:10.1029/2005JD005776.
- Ignatov, A., et al. (2005), Two MODIS Aerosol Products over Ocean on the Terra and Aqua CERES SSF Datasets, J. Atmos. Sci., 62, 1008-1031.
- Xu, K., et al. (2005), Statistical Analyses of Satellite Cloud Object Data from CERES. Part I: Methodology and Preliminary Results of the 1998 El Niño/2000 La Niña, J. Climate, 18, 2497-2514.
- Diner, D., et al. (2004), Understanding Aerosols Paragon: An Integrated Approach for Characterizing Aerosol Climate Impacts and Environmental Interactions, Bull. Am. Meteorol. Soc., 1491, doi:10.1175/BAMS-85-10-1491.
- Seinfeld, J. H., et al. (2004), Understanding Aerosols: Scientific Objectives, Measurement Needs, and Challenges Motivating the PARAGON Aerosol Initiative, Bull. Am. Meteorol. Soc., 1503, doi:10.1175/BAMS-85-10-1503.
- Smith, G. L. S., et al. (2004), Clouds and Earth radiant energy system: an overview, Advances in Space Research, 33, 1125-1133, doi:10.1016/S0273-1177.
- Chambers, L. H., et al. (2002), Reply, J. Climate, 15, 2716-2717.