D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 43 Citations 6,690 230 World Ranking 3432 National Ranking 1452

Overview

What is he best known for?

The fields of study he is best known for:

  • Meteorology
  • Precipitation
  • Climatology

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.

His most cited work include:

  • Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements (323 citations)
  • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud (222 citations)
  • Objective Analysis of ARM IOP Data: Method and Sensitivity (194 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Meteorology (44.67%)
  • Climatology (40.67%)
  • Climate model (39.33%)

What were the highlights of his more recent work (between 2017-2021)?

  • Atmospheric sciences (37.33%)
  • Climate model (39.33%)
  • Atmospheric model (24.67%)

In recent papers he was focusing on the following fields of study:

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.

Between 2017 and 2021, his most popular works were:

  • The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (143 citations)
  • Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model (44 citations)
  • CAUSES: On the Role of Surface Energy Budget Errors to the Warm Surface Air Temperature Error Over the Central United States (35 citations)

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.

Best Publications

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)

449 Citations

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)

307 Citations

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)

260 Citations

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)

242 Citations

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)

236 Citations

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)

222 Citations

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)

218 Citations

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)

216 Citations

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)

185 Citations

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)

156 Citations

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