Mesoscale modeling of springtime Arctic mixed-phase stratiform clouds using a new two-moment bulk microphysics scheme
By Hugh Morrison, James Pinto. 2005
167 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/a18bc5a04f3354c3974d349b554e52418987dc25
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Hugh Morrison
- Andrew Gettelman
- Xiaohong Liu
- Steven Ghan
- Jason A. Milbrandt
- Minghuai Wang
- J. Penner
- R. Easter
In Global and Planetary Change
- Hugh Morrison
- Andrew Gettelman
- Xiaohong Liu
- Steven Ghan
- Jason A. Milbrandt
- Minghuai Wang
- J. Penner
- R. Easter
Citations in the corpus
- Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations (2011, methodology): “…described in Morrison et al. (2005) and subsequently implemented into the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5; Morrison and Pinto 2005, 2006; Morrison et al. 2008) and WRF (MTT09; Solomon et al. 2009).”
- Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF (2011, background): “Several ice nucleation mechanisms are included: contact nucleation of cloud droplets following Morrison and Pinto (2005); immersion freezing of cloud droplets and rain following Bigg (1953); deposition-condensation freezing nucleation following Thompson et al. (2004), which is based on ice crystal…”
- Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion (2011, methodology): “Ice is initiated by deposition nucleation, contact freezing, and immersion freezing (see Morrison and Pinto (2005) for details on parameterizations used in the model).”
- A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests (2008, methodology): “Two-moment schemes have been used fairly extensively in cloud-resolving and mesoscale models (e.g., Ferrier 1994; Meyers et al. 1997; Khairoutidnov and Kogan 2000; Seifert and Beheng 2001; Morrison and Pinto 2005; Milbrandt and Yau 2005; Morrison and Grabowski 2007; Phillips et al. 2007).”
- Development of an Effective Double-Moment Cloud Microphysics Scheme with Prognostic Cloud Condensation Nuclei (CCN) for Weather and Climate Models (2010, background): “…of a subgrid vertical velocity derived from the planetary boundary layer and turbulence diffusion scheme into the CCN activation process (Ghan et al. 1997; Morrison et al. 2005; Morrison and Pinto 2005) would be more physically reasonable in estimating Smax, which can be pursued in future studies.”
- Inclusion of Ice Microphysics in the NCAR Community Atmospheric Model Version 3 (CAM3) (2007, background): “Following Morrison and Pinto (2005), we neglect the impact of phoretic forces on the grid-scale collection rate because these forces depend on local gradients of temperature and water vapor that are not resolved at the GCM scale.”
- Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes (2009, methodology): “This scheme is based on the parameterization of MCK, and subsequently implemented into the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5; Morrison and Pinto 2005, 2006; Morrison et al. 2008).”
- Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics (2012, unknown): “…and subsequently implemented, with modifications, into the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5; Morrison and Pinto 2005, 2006; Morrison et al. 2008) and the Weather Research and Forecasting model (WRF; Morrison et al. 2009).”
- Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE (2011, background): “Numerous modeling studies have shown that the parameterization of microphysics is a key in simulating Arctic mixedphase clouds (e.g., Harrington et al. 1999; Jiang et al. 2000; Morrison et al. 2003; Morrison and Pinto 2005; Sandvik et al. 2007; Prenni et al. 2007; Luo et al. 2008a; Fan et al. 2009).”
- Climate Models: An Assessment of Strengths and Limitations (2008, background): “1999; Chiacchio, Francis, and Stackhouse 2002; Pavolonis, Key, and Cassano 2004) and cloud microphysics in the relatively clean polar atmosphere (Curry et al. 1996; Pinto, Curry, and Intrieri 2001; Morrison and Pinto 2005).”