Drizzle in Stratiform Boundary Layer Clouds. Part II: Microphysical Aspects.
By R. Wood. 2005
188 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/0cc00c74b747fb9a8b5465242410f70ed87cb5f1
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
- Bjorn Stevens
- Alexander Khain
- Chris Bretherton
- Andrew Gettelman
- Xiaohong Liu
- A. Seifert
- Steven Ghan
In Earth-Surface Processes
- Hugh Morrison
- A. Seifert
- Alexander Khain
- Klaus D. Beheng
- Bjorn Stevens
- V. Phillips
- Hongli Jiang
- S. C. Heever
In Global and Planetary Change
- Hugh Morrison
- Bjorn Stevens
- Alexander Khain
- Chris Bretherton
- A. Seifert
- Andrew Gettelman
- Xiaohong Liu
- Steven Ghan
Citations in the corpus
- 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). k. WVU West Virginia University (WVU) solutions provided by D. Lewellen.”
- Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, background): “In the first approach, the rates of separate microphysical processes (e.g., various autoconversion and sedimentation schemes) are compared [Beheng, 1994; Seifert and Beheng, 2001; Milbrandt and Yau, 2005a, 2005b; Wood, 2005; Suzuki et al., 2011; Kumjian and Ryzhkov, 2012; Kumjian et al., 2012].”
- Aerosol Properties and Processes: A Path from Field and Laboratory Measurements to Global Climate Models (2007, background): “For example, Wood’s (2005) recent evaluation of droplet collision/coalescence schemes identifies weakness in all schemes and suggests how they might be improved.”
- Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection (2008, background): “Wood (2005) argues, based on an analysis of aircraft data of stratocumulus, that auto-conversion should be ∝ r3c which is stronger than KK, but weaker than SB (for which auto-conversion is ∝ r4c ).”
- Cancellation of Aerosol Indirect Effects in Marine Stratocumulus through Cloud Thinning (2007, methodology): “The formulation used compares favorably with aircraft data (Wood 2005a).”
- Entrainment, Mixing, and Microphysics in Trade-Wind Cumulus (2008, methodology): “The measured FSSP and UGN sub-cloud spectra agree quite well with Woodcock’s (1953) classical relationships between the dry radius of sea-salt particles and the near-surface wind speed, suggesting an ample presence of ultra-giant sea-salt nuclei (UGN) on flight RF12. These spectra and the incloud FS”
- An Overview of the Atmospheric Component of the Energy Exascale Earth System Model (2019, methodology): “ZM parameterization sensitivity to resolution in EAM is provided in Xie et al. (2018), and only a few of”
- Constraining cloud lifetime effects of aerosols using A‐Train satellite observations (2012, background): “Here, ‘rain certain’ is attenuationcorrected near surface radar reflectivity in excess of 0 dBZ in A-Train observations and surface precipitation rate above 0.6 mm/day in models (see Figure S1 and a discussion of the consistency between these two definitions in the auxiliary material).”