Z. Johnny Luo
Organization:
City College of New York
First Author Publications:
- Luo, Z. J., et al. (2014), Convective vertical velocity and cloud internal vertical structure: An A-Train perspective, Geophys. Res. Lett., 41, doi:10.1002/2013GL058922.
- Luo, Z. J., et al. (2012), Influence of Sea Surface Temperature on Humidity and Temperature in the Outflow of Tropical Deep Convection, J. Climate, 25, 1340-1348, doi:10.1175/2011JCLI4124.1.
- Luo, Z. J., G. Y. Liu, and G. Stephens (2010), Use of A‐Train data to estimate convective buoyancy and entrainment rate, Geophys. Res. Lett., 37, L09804, doi:10.1029/2010GL042904.
- Luo, Z. J., G. Y. Liu, and G. Stephens (2010), Use of A‐Train data to estimate convective buoyancy and entrainment rate, Geophys. Res. Lett., 37, L09804, doi:10.1029/2010GL042904.
- Luo, Z. J., et al. (2009), Terminal versus transient cumulus congestus: A CloudSat perspective, Geophys. Res. Lett., 36, L05808, doi:10.1029/2008GL036927.
- Luo, Z. J., et al. (2008), On the use of CloudSat and MODIS data for estimating hurricane intensity, 13-16, doi:10.1109/LGRS.2007.905341.
- Luo, Z. J., G. Y. Liu, and G. Stephens (2008), CloudSat adding new insight into tropical penetrating convection, Geophys. Res. Lett., 35, L19819, doi:10.1029/2008GL035330.
- Luo, Z. J., et al. (2008), On the Use of CloudSat and MODIS Data for Estimating Hurricane Intensity, IEEE Geosci. Remote Sens. Lett., 5, 13-16, doi:10.1109/LGRS.2007.905341.
Co-Authored Publications:
- Wang, D., et al. (2020), An Observational Comparison of Level of Neutral Buoyancy and Level of Maximum Detrainment in Tropical Deep Convective Clouds, J. Geophys. Res., 125, e2020JD032637, doi:10.1029/2020JD032637.
- Toon, B., et al. (2016), Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission, J. Geophys. Res., 121, 4967-5009, doi:10.1002/2015JD024297.
- Hagihara, Y., H. Okamoto, and Z. J. Luo (2014), Joint analysis of cloud top heights from CloudSat and CALIPSO: New insights into cloud top microphysics, J. Geophys. Res., 119, doi:10.1002/2013JD020919.
- Takahashi, H., and Z. J. Luo (2014), Characterizing tropical overshooting deep convection from joint analysis of CloudSat and geostationary satellite observations, J. Geophys. Res., 119, 112-121, doi:10.1002/2013JD020972.
- Vergados, P., et al. (2014), Observational tests of hurricane intensity estimations using GPS radio occultations, J. Geophys. Res., 119, 1936-1948, doi:10.1002/2013JD020934.
- Wang, C., et al. (2014), A Physically Based Algorithm for Non-Blackbody Correction of Cloud-Top Temperature and Application to Convection Study, J. Appl. Meteor. Climat., 53, 1844-1857, doi:10.1175/JAMC-D-13-0331.1.
- Takahashi, H., et al. (2013), Tropical water vapor variations during the 2006–2007 and 2009–2010 El Niños: Satellite observation and GFDL AM2.1 simulation, J. Geophys. Res., 118, 1-11, doi:10.1002/jgrd.50684.
- Takahashi, H., and Z. J. Luo (2012), Where is the level of neutral buoyancy for deep convection?, Geophys. Res. Lett., 39, L15809, doi:10.1029/2012GL052638.
- Luo, Y., et al. (2011), Intercomparison of Deep Convection over the Tibetan Plateau–Asian Monsoon Region and Subtropical North America in Boreal Summer Using CloudSat/CALIPSO Data, J. Climate, 24, 2164-2177, doi:10.1175/2010JCLI4032.1.
- Wang, C., Z. J. Luo, and X. Huang (2011), Parallax correction in collocating CloudSat and Moderate Resolution Imaging Spectroradiometer (MODIS) observations: Method and application to convection study, J. Geophys. Res., 116, D17201, doi:10.1029/2011JD016097.