His main research concerns Meteorology, Precipitation, Climate model, Climatology and Forcing. His study looks at the relationship between Meteorology and fields such as Liquid water content, as well as how they intersect with chemical problems. His Precipitation research incorporates themes from Synoptic scale meteorology, Middle latitudes, Atmospheric sciences, Radiosonde and Convection.
His Atmospheric sciences research incorporates elements of Cloud physics and Aerosol. The Climate model study combines topics in areas such as Atmospheric convection and Mesoscale meteorology. His work on Numerical weather prediction as part of general Climatology research is frequently linked to Rapid update cycle, thereby connecting diverse disciplines of science.
Shaocheng Xie mainly investigates Meteorology, Climatology, Climate model, Atmospheric sciences and Atmospheric model. His research integrates issues of Liquid water content and Cloud fraction in his study of Meteorology. His Climatology research integrates issues from Convection and Precipitation.
His Precipitation study integrates concerns from other disciplines, such as Scale and Mesoscale meteorology. As a member of one scientific family, he mostly works in the field of Climate model, focusing on Shortwave and, on occasion, Longwave and Cloud forcing. His biological study spans a wide range of topics, including Atmosphere and Aerosol.
His primary scientific interests are in Atmospheric sciences, Climate model, Atmospheric model, Precipitation and Climatology. His work carried out in the field of Atmospheric sciences brings together such families of science as Atmosphere, Convection and Radiative forcing, Aerosol. His studies deal with areas such as Ozone layer and Troposphere, Tropopause as well as Climate model.
His Atmospheric model study necessitates a more in-depth grasp of Meteorology. His Precipitation study combines topics in areas such as Remote sensing, Remote sensing, Diurnal cycle and Aerosol cloud. His work on Sea surface temperature as part of general Climatology research is frequently linked to Attribution, Systematic error and Earth system science, bridging the gap between disciplines.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements
M. H. Zhang;W. Y. Lin;S. A. Klein;S. A. Klein;J. T. Bacmeister.
Journal of Geophysical Research (2005)
The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
Jean Christophe Golaz;Peter M. Caldwell;Luke P. Van Roekel;Mark R. Petersen.
Journal of Advances in Modeling Earth Systems (2019)
Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud
Stephen A. Klein;Renata B. McCoy;Hugh Morrison;Andrew S. Ackerman.
Quarterly Journal of the Royal Meteorological Society (2009)
Objective Analysis of ARM IOP Data: Method and Sensitivity
M. H. Zhang;J. L. Lin;R. T. Cederwall;J. J. Yio.
Monthly Weather Review (2001)
Indirect and semi-direct aerosol campaign: The impact of Arctic aerosols on clouds
Greg M. McFarquhar;Steven Ghan;Johannes Verlinde;Alexei Korolev.
Bulletin of the American Meteorological Society (2011)
Toward understanding of differences in current cloud retrievals of ARM ground-based measurements
Chuanfeng Zhao;Shaocheng Xie;Stephen A. Klein;Alain Protat.
Journal of Geophysical Research (2012)
Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction
Thomas J. Phillips;Gerald L. Potter;David L. Williamson;Richard T. Cederwall.
Bulletin of the American Meteorological Society (2004)
An intercomparison of cloud-resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data
Kuan Man Xu;Richard T. Cederwall;Leo J. Donner;Wojciech W. Grabowski.
Quarterly Journal of the Royal Meteorological Society (2002)
CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data
Shaocheng Xie;Renata B. McCoy;Stephen A. Klein;Richard T. Cederwall.
Bulletin of the American Meteorological Society (2010)
The Midlatitude Continental Convective Clouds Experiment (MC3E)
M. P. Jensen;W. A. Petersen;Aaron R. Bansemer;N. Bharadwaj.
Bulletin of the American Meteorological Society (2016)
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