Publications for CLARREO

Publication Citation
Leroy, S., and M.J. Rodwell (2014), Leveraging highly accurate data in diagnosing errors in atmospheric models, Bull. Am. Meteorol. Soc., 95, doi:10.1175/BAMS-D-12-00143.1.
Leroy, S., C. Ao, and O. Verkhoglyadova (2012), Mapping GPS Radio Occultation Data by Bayesian Interpolation, J. Atmos. Oceanic Technol., 29, 1062-1074, doi:10.1175/JTECH-D-11-00179.1.
Leroy, S., J.G. Anderson, J. Dykema, and R. Goody (2008), Testing Climate Models Using Thermal Infrared Spectra, J. Climate, 21, 1863-1875, doi:10.1175/2007JCLI2061.1.
Leroy, S., et al. (2017), LEVERAGING HIGHLY ACCURATE DATA IN DIAGNOSING ERRORS IN ATMOSPHERIC MODELS, Bull. Am. Meteorol. Soc., 95, 1227-1233, doi:10.1175/BAMS-D-12-00143.1.
Leroy, S., J.G. Anderson, and G. Ohring (2008), Climate Signal Detection Times and Constraints on Climate Benchmark Accuracy Requirements, J. Climate, 21, 841-846, doi:10.1175/2007JCLI1946.1.
Liang, S. (2018), 5.01 - Volume 5 Overview: Recent progress in Remote Sensing of Earth’s Energy Budget , Comprehensive Remote Sensing, 1-31, doi:.org/10.1016/B978-0-12-409548-9.10365-3.
Libois, Q., et al. (2018), Added value of far-infrared radiometry for remote sensing of ice clouds , J. Geophys. Res., 122, 6541-6564, doi:10.1002/2016JD026423.
Lin, Z., S. Stamnes, I. Laszlo, Z. Jin, W. Wiscombe, and S. Tsay (2015), Improved discrete ordinate solutions in the presence of an anisotropically reflecting lower boundary: Upgrades of the DISORT computational tool, J. Quant. Spectrosc. Radiat. Transfer, 157, 119-134.
Liu, X. (2012), Retrieving atmospheric temperature and moisture profiles from SUOMI NPP CrIS/ATMS sensors using CrIMSS EDR algorithm, Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, 2012, 1956-1959, doi:10.1109/IGARSS.2012.6350816.
Liu, X., et al. (2016), Development of a fast and accurate PCRTM radiative transfer model in the solar spectral region, Appl. Opt., 55, 8236-8247, doi:10.1364/AO.55.008236.
Liu, X., et al. (2018), Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection , J. Climate, 30, 3979-3998, doi:1 10.1175/JCLI-D-16-0704.1.
Loeb, N., B. Wielicki, W. Su, C. Lukashin, W. Sun, T. Wong, K. Priestley, G. Matthews, W. Miller, and R. Davies (2007), Multi-Instrument Comparison of Top-of-Atmosphere Reflected Solar Radiation, J. Climate, 20, 575, doi:10.1175/JCLI4018.1.
Loeb, N., B. Wielicki, F. Rose, and D. Doelling (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. (2009), Toward Optimal Closure of the Earth's Top-of-Atmosphere Radiation Budget, J. Climate, 22, 748-766, doi:10.1175/2008JCLI2637.1.
Lukashin, C. (2015), CLARREO Reflected Solar Spectrometer: Restrictions for Instrument Sensitivity to Polarization, IEEE Trans. Geosci. Remote Sens., doi:1109/TGRS.2015.2446197.
Lukashin, C., B. Wielicki, D. Young, K. Thome, Z. Jin, and W. Sun (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.
Lukashin, C., et al. (2015), CLARREO Reflected Solar Spectrometer: Restrictions for Instrument Sensitivity to Polarization, IEEE Trans. Geosci. Remote Sens., doi:1109/TGRS.2015.2446197.
Lukashin, C., et al. (2017), On-orbit data matching and sensor inter-calibration , 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 297-300, doi:10.1109/IGARSS.2017.8126954.
Lukashin, C., et al. (2017), On-orbit Data Matching and Sensor Inter-calibration , Ieee International Geoscience and Remote Sensing Symposium, 170, 297-300.
Lyapustin, A., et al. (2014), Scientific impact of MODIS C5 calibration degradation and C6+ improvements, Atmos. Meas. Tech., 7, doi:10.5194/amt-7-4353-2014.

 

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