Parameterization of the Autoconversion Process. Part I: Analytical Formulation of the Kessler-Type Parameterizations
By Yangang Liu, P. Daum. 2004
217 citations recorded by the source corpus.
Subfields: Earth-Surface Processes, Global and Planetary Change, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/2f9da90455f4ad5980e8ccce3987db2ed7ca6e55
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Earth-Surface Processes
- Hugh Morrison
- Bjorn Stevens
- Hongli Jiang
- Jason A. Milbrandt
- R. Wood
- A. Lock
- Steven Ghan
- Gregory Thompson
In Global and Planetary Change
- Hugh Morrison
- Jason A. Milbrandt
- Bjorn Stevens
- Chris Bretherton
- Xiaohong Liu
- Steven Ghan
- R. Wood
- Andrew Gettelman
In Ocean Engineering
- Hugh Morrison
- Xiaohong Liu
- Bjorn Stevens
- Brian A. Colle
- R. Wood
- Steven Ghan
- Yanluan Lin
- Jason A. Milbrandt
Citations in the corpus
- Improving Parameterization of Rain Microphysics with Disdrometer and Radar Observations (2006, background): “However, such adjustments are mostly empirical (Liu and Daum 2004) and lack verification with observations.”
- Constraining cloud lifetime effects of aerosols using A‐Train satellite observations (2012, background): “formula (A-D), different autoconversion formulas (A-K from [Khairoutdinov and Kogan, 2000]; L-O from [Chen and Cotton, 1987]; and P-Q from [Liu and Daum, 2004]),”
- Drizzle in Stratiform Boundary Layer Clouds. Part II: Microphysical Aspects. (2005, methodology): “The good performance of L+D is a result of using a more physically realistic dependence of the collection kernel upon droplet radius to derive the analytical form for the autoconversion rate than has been used in previous parameterizations (see Liu and Daum, 2004, for a discussion).”
- A New Bulk Microphysical Scheme That Includes Riming Intensity and Temperature-Dependent Ice Characteristics (2011, methodology): “This new scheme uses a generalized gamma distribution to describe the size distribution of cloud water droplets (Liu and Daum 2004): N c 5 N 0c Dme lD, (16) where N0c is the intercept, m is the shape parameter, and l is the slope.”
- Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes (2015, background): “Autoconversion of cloud droplets to rain follows Liu and Daum (2004), while most other processes follow Lin et al. (1983).”
- Large-Eddy Simulations of a Drizzling, Stratocumulus-Topped Marine Boundary Layer (2009, methodology): “Autoconversion follows modified Liu and Daum (2004) formula in Wood (2005b), using the threshold function from Liu et al. (2005).”
- Implementation of a two‐moment bulk microphysics scheme to the WRF model to investigate aerosol‐cloud interaction (2008, background): “When p = 3 and p = 6, the relationship between R6 and R3 is obtained [Liu and Daum, 2004].”