A Scheme for Calculation of the Liquid Fraction in Mixed-Phase Stratiform Clouds in Large-Scale Models
By Leon D. Rotstayn, B. Ryan, J. Katzfey. 2000
170 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/96bd6642f6f6fe96801640dc53d8d1c12fa34630
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
In Global and Planetary Change
Citations in the corpus
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, background): “The source and sink terms for cloud condensates (liquid and ice) are parameterized largely following Rotstayn (1997) and Rotstayn et al. (2000).”
- On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model (2014, methodology): “A number of GCMs do include separate prognostic variables for cloud liquid and ice with explicit mixed-phase microphysics (Wilson and Ballard 1999; Rotstayn et al. 2000; Lohmann et al. 2007; Morrison and Gettelman 2008) with increased degrees of freedom to representmixed-phase conditions, but this…”
- The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations (2004, methodology): “…CLOUD SCHEME AND RADIATION BALANCE TUNING Large-scale clouds are parameterized with separate prognostic variables for specific humidity of cloud liquid and ice. Cloud microphysics are parameterized according to Rotstayn (1997) with an updated treatment of mixed phase clouds (Rotstayn et al. 2000).”
- Importance of the mixed-phase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: a multi-model study (2006, methodology): “…Ballard 1999 Prognostic equation for cloud ice 40c 0 GFDL Cloud liquid, cloud ice (triangular PDF) Tiedtke 1993 (cloud microphysics, Rotstayn 1997, Rotstayn et al. 2000) Separate prognostic for cloud liquid and cloud ice 40c 0 UIUC Cloud (no variance), Sundqvist (1978, 1988) Separation by…”
- The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3 (2011, methodology): “Microphysical processes except for activation of liquid cloud drops (described in section 3f) follow Rotstayn (1997) and Rotstayn et al. (2000), as described in Anderson et al. (2004).”
- 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): “For example, as pointed out by Pincus and Klein (2000), Rotstayn et al. (2000), and Larson et al. (2001), precipitation formation is highly nonlinear, resulting in potentially substantial biases if only the mean in-cloud cloud water is considered.”
- Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data (2009, methodology): “Note that like AM2, AM3 uses a prognostic scheme of large-scale cloud condensates and fraction (Tiedtke, 1993) with microphysics largely following Rotstayn (1997) and Rotstayn et al. (2000).”
- Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period (2005, unknown): “GFDL separate prognostic equations for cloud liquid and ice and diagnostic rain and snow [Rotstayn, 1997; Rotstayn et al., 2000 ] prognostic cloud fraction [Tiedtke, 1993] relaxed AS scheme [Moorthi and Suarez, 1992]”
- Phase transformation of mixed‐phase clouds (2003, background): “…in a large variety of numerical models (e.g. Scott and Hobbs 1977; Hall 1980; Cotton and Anthes 1989; Houze 1992; Reisin et al. 1996; Lohmann and Roeckner 1996; Tremblay et al. 1996; Harrington et al. 1999; Jiang et al. 2000; Rotstayn et al. 2000; Zawadzki et al. 2000 to name a few of them).”