Kuan-Man Xu

Organization

NASA Langley Research Center

Email

Contact person by email

Business Phone

Work

:

(757) 864-8564

Business Address

Atmospheric Sciences Research
NASA Langley Research Center
Mail Stop 420
Hampton, VA 23681
United States

Website

Cloud Object Database

First Author Publications

Xu, K., and A. Cheng (2013), Evaluating Low-Cloud Simulation from an Upgraded Multiscale Modeling Framework Model. Part I: Sensitivity to Spatial Resolution and Climatology, J. Climate, 26, 5717-5740, doi:10.1175/JCLI-D-12-00200.1.
Xu, K., and A. Cheng (2013), Evaluating Low-Cloud Simulation from an Upgraded Multiscale Modeling Framework Model. Part II: Seasonal Variations over the Eastern Pacific, J. Climate, 26, 5741-5760, doi:10.1175/JCLI-D-12-00276.1.
Xu, K., et al. (2010), Cloud-Resolving Simulation of Low-Cloud Feedback to an Increase in Sea Surface Temperature, J. Atmos. Sci., 67, 730-748, doi:10.1175/2009JAS3239.1.
Xu, K. (2009), Evaluation of Cloud Physical Properties of ECMWF Analysis and Re-Analysis (ERA) against CERES Tropical Deep Convective Cloud Object Observations, Mon. Wea. Rev., 137, 207-223, doi:10.1175/2008MWR2633.1.
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.
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.
Xu, K. (2006), Using the Bootstrap Method for a Statistical Significance Test of Differences between Summary Histograms, Mon. Wea. Rev., 134, 1442-1452.
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.

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

Co-Authored Publications

Neggers, R.A.J., et al. (2017), Single-Column Model Simulations of Subtropical Marine Boundary-Layer Cloud Transitions Under Weakening Inversions, J. Adv. Modeling Earth Syst., 9, 2385-2412, doi:10.1002/2017MS001064.
Painemal, D., et al. (2017), Entrainment rate diurnal cycle in marine stratiform clouds estimated from geostationary satellite retrievals and a meteorological forecast model, Geophys. Res. Lett., 44, doi:10.1002/2017GL074481.
Cheng, A., and K. Xu (2014), An explicit representation of vertical momentum transport in a multiscale modeling frameworkthrough its 2-D cloud-resolving model component, J. Geophys. Res., 119, 2356-2374, doi:10.1002/2013JD021078.
Fan, J., et al. (2014), Development of a Scale-Aware Cumulus Parameterization – Part I: Evaluation of Model Simulations with Spectral-Bin Microphysics and Comparisons with Bulk Microphysics, J. Geophys. Res.(submitted).
Liu, Y., et al. (2014), Development of a Scale-Aware Cumulus Parameterization – Part II: Analysis of Cloud-Resolving Model Simulations, J. Geophys. Res.(submitted).
Painemal, D., et al. (2014), Mean Structure and diurnal cycle of Southeast Atlantic boundary layer clouds: Insights from satellite observations and multiscale modeling framework simulations, J. Climate-46 (submitted).
Blossey, P.N., et al. (2013), Marine low cloud sensitivity to an idealized climate change: The CGILS LES intercomparison, Journal Of Advances In Modeling Earth Systems, 5, 1-25, doi:10.1002/10.1002/jame.20025.
Cheng, A., and K. Xu (2013), Evaluating Low-Cloud Simulation from an Upgraded Multiscale Modeling Framework Model. Part III: Tropical and Subtropical Cloud Transitions over the Northern Pacific, J. Climate, 26, 5761-5781, doi:10.1175/JCLI-D-12-00650.1.
Cheng, A., and K. Xu (2013), Diurnal variability of low clouds in the Southeast Pacific simulated by a multiscale modeling framework model, J. Geophys. Res., 118, 9191-9208, doi:10.1002/jgrd.50683.
Woolnough, S.J., et al. (2013), Modelling convective processes during the suppressed phase of a Madden–Julian oscillation: Comparing single-column models with cloud-resolving models, Q. J. R. Meteorol. Soc., 136, 333-353.
Zhang, ., et al. (2013), CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models, J. Adv. Modeling Earth Syst., 5, 1-17, doi:10.1002/2013MS000246.
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.
Cheng, A., and K. Xu (2011), Improved low‐cloud simulation from a multiscale modeling framework with a third‐order turbulence closure in its cloud‐resolving model component, J. Geophys. Res., 116, D14101, doi:10.1029/2010JD015362.
Eitzen, Z.A., et al. (2011), An Estimate of Low-Cloud Feedbacks from Variations of Cloud Radiative and Physical Properties with Sea Surface Temperature on Interannual Time Scales, J. Climate, 24, 1106-1121, doi:10.1175/2010JCLI3670.1.
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.
Zhou, Y.P., et al. (2011), Recent trends of the tropical hydrological cycle inferred from Global Precipitation Climatology Project and International Satellite Cloud Climatology Project data, J. Geophys. Res., 116, D09101, doi:10.1029/2010JD015197.
Hu, Y., et al. (2010), Occurrence, liquid water content, and fraction of supercooled water clouds from combined CALIOP/IIR/MODIS measurements, J. Geophys. Res., 115, D00H34, doi:10.1029/2009JD012384.
Su, W., et al. (2010), Comparison of the tropical radiative flux and cloud radiative effect profiles in a climate model with Clouds and the Earth’s Radiant Energy System (CERES) data, J. Geophys. Res., 115, D01105, doi:10.1029/2009JD012490.
Su, W., et al. (2010), An estimate of aerosol indirect effect from satellite measurements with concurrent meteorological analysis, J. Geophys. Res., 115, D18219, doi:10.1029/2010JD013948.
Cheng, A., and K. Xu (2009), A PDF-Based Microphysics Parameterization for Simulation of Drizzling Boundary Layer Clouds, J. Atmos. Sci., 66, 2317-2334, doi:10.1175/2009JAS2944.1.
Eitzen, Z.A., et al. (2009), Cloud and Radiative Characteristics of Tropical Deep Convective Systems in Extended Cloud Objects from CERES Observations, J. Climate, 22, 5983-6000, doi:10.1175/2009JCLI3038.1.
Hong, G., et al. (2009), Parameterization of Shortwave and Longwave Radiative Properties of Ice Clouds for Use in Climate Models, J. Climate, 22, 6287-6312, doi:10.1175/2009JCLI2844.1.
Klein, S.A., et al. (2009), Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single-layer cloud, Q. J. R. Meteorol. Soc., 135, 979-1002, doi:10.1002/qj.416.
Cheng, A., and K. Xu (2008), Simulation of Boundar y-Layer Cumulus and Stratocumulus Clouds Using a Cloud-Resolving Model with Low- and Third-order Turbulence Closures, Journal of Meteor. Soc. Japan, 86A, 67-86.
Eitzen, Z.A., and K. Xu (2008), Sensitivity of a Large Ensemble of Tropical Convective Systems to Changes in the Thermodynamic and Dynamic Forcings, J. Atmos. Sci., 65, 1773-1794, doi:10.1175/2007JAS2446.1.
Eitzen, Z.A., et al. (2008), Statistical Analyses of Satellite Cloud Object Data from CERES. Part V: Relationships between Physical Properties of Marine Boundary Layer Clouds, J. Climate, 21, 6668-6688, doi:10.1175/2008JCLI2307.1.
Luo, Y., et al. (2008), Arctic Mixed-Phase Clouds Simulated by a Cloud-Resolving Model: Comparison with ARM Observations and Sensitivity to Microphysics Parameterizations, J. Atmos. Sci., 65, 1285-1303, doi:10.1175/2007JAS2467.1.
Luo, Y., et al. (2008), Multi-layer arctic mixed-phase clouds simulated by a cloud-resolving model: Comparison with ARM observations and sensitivity experiments, J. Geophys. Res., 113, D12208, doi:10.1029/2007JD009563.
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.
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.
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.
Eitzen, Z.A., and K. Xu (2005), A statistical comparison of deep convective cloud objects observed by an Earth Observing System satellite and simulated by a cloud-resolving model, J. Geophys. Res., 110, D15S14, doi:10.1029/2004JD005086.
Chambers, L., et al. (2002), Reply, J. Climate, 15, 2716-2717.

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