C. Seman

发表

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3

Ramaswamy, Naik, S. Klein, 2011 .

An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data

Duane E. Waliser, Graeme L. Stephens, Min Deng, 2012 .

An Intercomparison of Cloud-Resolving Models with the ARM Summer 1997 IOP Data

Minghua Zhang, Shaocheng Xie, Wojciech W. Grabowski, 2001 .

Potential impacts from biological aerosols on ensembles of continental clouds simulated numerically

C. Seman, C. Morris, A. Lauer, 2009 .

An intercomparison of cloud‐resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data

Minghua Zhang, Shaocheng Xie, Wojciech W. Grabowski, 2002 .

Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations

Andrew Gettelman, Masahiro Watanabe, Stephen Jeffrey, 2012 .

The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies

J. R. Wilson, S. Malyshev, V. Ramaswamy, 2018 .

Cloud-Resolving Model Intercomparison with the ARM Summer 1997 IOP Data

D. Randall, F. Guichard, W. Tao, 2000 .

Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes

C. Naud, Ming Zhao, L. Donner, 2019, Journal of Climate.

An Observation of Banded Convective Development in the Presence of Weak Symmetric Stability

C. Seman, D. Houghton, S. Lindstrom, 1988 .

Structure and Performance of GFDL's CM4.0 Climate Model

Shian-Jiann Lin, Paul Ginoux, L. Harris, 2019, Journal of Advances in Modeling Earth Systems.

A study of the impact of the Intertropical Convergence Zone on aerosols during INDOEX

R. Hemler, L. Donner, C. Seman, 2002 .

Diagnosis of regime‐dependent cloud simulation errors in CMIP5 models using “A‐Train” satellite observations and reanalysis data

J. Dufresne, L. Horowitz, L. Nazarenko, 2013 .

The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs

J. R. Wilson, S. Malyshev, V. Ramaswamy, 2018 .

A gcss model intercomparison for a tropical squall line observed during toga‐coare. I: Cloud‐resolving models

F. Guichard, P. Brown, L. Donner, 2000 .

Convective Transition Statistics over Tropical Oceans for Climate Model Diagnostics: GCM Evaluation

Chih-Chieh Chen, E. Maloney, Ming Zhao, 2020, Journal of the Atmospheric Sciences.

Transport of radon‐222 and methyl iodide by deep convection in the GFDL Global Atmospheric Model AM2

L. Horowitz, D. Blake, A. Fiore, 2007 .

Evolution of Slantwise Vertical Motions in NCEP’s Mesoscale Eta Model

M. B. Mathur, C. Seman, K. Brill, 1999 .

Evaluating the Diurnal Cycle of Upper-Tropospheric Ice Clouds in Climate Models Using SMILES Observations

Masato Shiotani, Andrew Gettelman, Masahiro Watanabe, 2015 .

A Cumulus Parameterization Including Mass Fluxes, Convective Vertical Velocities, and Mesoscale Effects: Thermodynamic and Hydrological Aspects in a General Circulation Model

Leo J. Donner, Richard S. Hemler, S. Fan, 2001 .

Atmospheric sulfur and deep convective clouds in tropical Pacific: A model study

V. Ramaswamy, R. Hemler, L. Donner, 1999 .

Large-scale ice clouds in the GFDL SKYHI general circulation model

B. Soden, R. Hemler, L. Donner, 1997 .

Diagnosing Cloud Biases in the GFDL AM3 Model With Atmospheric Classification

R. Marchand, T. Ackerman, J. Golaz, 2017 .

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component of the GFDL global coupled model CM3

S. Griffies, E. Shevliakova, T. Delworth, 2010 .

Supporting Information for 1 “ The GFDL Global Atmosphere and Land Model AM 4 . 0 / LM 4 . 0 2 – Part II : Model Description , Sensitivity Studies , and Tuning ”

J. R. Wilson, S. Malyshev, V. Ramaswamy, 2018 .