Articles | Volume 7, issue 4
https://doi.org/10.5194/gmd-7-1733-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-1733-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
20 Aug 2014
Model description paper |
| 20 Aug 2014
Development of two-moment cloud microphysics for liquid and ice within the NASA Goddard Earth Observing System Model (GEOS-5)
D. Barahona
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
A. Molod
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
University of Maryland, College Park, MD, USA
J. Bacmeister
National Center for Atmospheric Research, Boulder, CO, USA
School of Earth and Atmospheric Sciences and School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
A. Gettelman
National Center for Atmospheric Research, Boulder, CO, USA
H. Morrison
National Center for Atmospheric Research, Boulder, CO, USA
V. Phillips
School of Earth and Environment, University of Leeds, Leeds, UK
A. Eichmann
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
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63 citations as recorded by crossref.
- Inter-relationship between subtropical Pacific sea surface temperature, Arctic sea ice concentration, and North Atlantic Oscillation in recent summers Y. Lim et al. https://doi.org/10.1038/s41598-019-39896-7
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- Direct estimation of the global distribution of vertical velocity within cirrus clouds D. Barahona et al. https://doi.org/10.1038/s41598-017-07038-6
- Classical nucleation theory of immersion freezing: sensitivity of contact angle schemes to thermodynamic and kinetic parameters L. Ickes et al. https://doi.org/10.5194/acp-17-1713-2017
- Bias‐Free Estimation of Ice Nucleation Efficiencies D. Barahona https://doi.org/10.1029/2019GL086033
- Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model J. Nielsen et al. https://doi.org/10.1002/2017MS001011
- Impact of convectively lofted ice on the seasonal cycle of water vapor in the tropical tropopause layer X. Wang et al. https://doi.org/10.5194/acp-19-14621-2019
- On the drivers of droplet variability in alpine mixed-phase clouds P. Georgakaki et al. https://doi.org/10.5194/acp-21-10993-2021
- Impacts of the Eruption of Mount Pinatubo on Surface Temperatures and Precipitation Forecasts With the NASA GEOS Subseasonal‐to‐Seasonal System V. Aquila et al. https://doi.org/10.1029/2021JD034830
- Ice Crystal Sedimentation Errors Arising from Weighted Fall Velocity in Three-Moment Bulk Cloud Microphysics Scheme X. Shi et al. https://doi.org/10.3390/atmos17040357
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- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
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- Satellite Sea Surface Salinity Observations Impact on El Niño/Southern Oscillation Predictions: Case Studies From the NASA GEOS Seasonal Forecast System E. Hackert et al. https://doi.org/10.1029/2019JC015788
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- Correction of Excessive Precipitation over Steep and High Mountains in a GCM: A Simple Method of Parameterizing the Thermal Effects of Subgrid Topographic Variation W. Chao https://doi.org/10.1175/JAS-D-14-0336.1
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- Uncertainty of Observation Impact Estimation in an Adjoint Model Investigated with an Observing System Simulation Experiment N. Privé & R. Errico https://doi.org/10.1175/MWR-D-19-0097.1
- Influence of volcanic eruptions on midlatitude upper tropospheric aerosol and consequences for cirrus clouds J. Friberg et al. https://doi.org/10.1002/2015EA000110
- The Boreal Winter El Niño Precipitation Response over North America: Insights into Why January Is More Difficult to Predict Than February Y. Lim et al. https://doi.org/10.1175/JCLI-D-19-0841.1
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- Understanding the role of cloud microphysical processes behind the Indian summer monsoon rainfall U. Dutta et al. https://doi.org/10.1007/s00704-022-04193-3
- On the thermodynamic and kinetic aspects of immersion ice nucleation D. Barahona https://doi.org/10.5194/acp-18-17119-2018
- GEOS‐S2S Version 2: The GMAO High‐Resolution Coupled Model and Assimilation System for Seasonal Prediction A. Molod et al. https://doi.org/10.1029/2019JD031767
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. https://doi.org/10.5194/acp-16-2611-2016
- Effects of convective ice evaporation on interannual variability of tropical tropopause layer water vapor H. Ye et al. https://doi.org/10.5194/acp-18-4425-2018
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- Seasonal Predictability of Lightning Over the Global Hotspot Regions C. Mallick et al. https://doi.org/10.1029/2021GL096489
- Effect of cloud‐scale vertical velocity on the contribution of homogeneous nucleation to cirrus formation and radiative forcing X. Shi & X. Liu https://doi.org/10.1002/2016GL069531
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- Impacts of the ice-particle size distribution shape parameter on climate simulations with the Community Atmosphere Model Version 6 (CAM6) W. Zhang et al. https://doi.org/10.5194/gmd-15-7751-2022
- Estimating the potential cooling effect of cirrus thinning achieved via the seeding approach J. Liu & X. Shi https://doi.org/10.5194/acp-21-10609-2021
- Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. https://doi.org/10.1002/2014JD022457
- Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
- Effects of grid spacing on high-frequency precipitation variance in coupled high-resolution global ocean–atmosphere models C. Light et al. https://doi.org/10.1007/s00382-022-06257-6
- The importance of simulated errors in observing system simulation experiments N. Privé et al. https://doi.org/10.1080/16000870.2021.1886795
- The Framework for Assimilating All-Sky GPM Microwave Imager Brightness Temperature Data in the NASA GEOS Data Assimilation System M. Kim et al. https://doi.org/10.1175/MWR-D-19-0100.1
- Factors controlling black carbon distribution in the Arctic L. Qi et al. https://doi.org/10.5194/acp-17-1037-2017
- Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. https://doi.org/10.1073/pnas.1514039113
Saved (final revised paper)
Latest update: 10 Jun 2026
