Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part II : Sensitivity study
By Alexander Khain, Andrei Pokrovsky. 2004
156 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/d9c79545e177d17f025a26509ace58a18f5d5117
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
- Alexander Khain
- Hugh Morrison
- Jason A. Milbrandt
- Daniel Rosenfeld
- V. Phillips
- Jiwen Fan
- C. Hoose
- Matthew R. Kumjian
In Global and Planetary Change
- Alexander Khain
- Hugh Morrison
- Jason A. Milbrandt
- Daniel Rosenfeld
- V. Phillips
- Jiwen Fan
- Andrei Pokrovsky
- C. Hoose
Citations in the corpus
- Aerosol impact on the dynamics and microphysics of deep convective clouds (2005, methodology): “Some of these aerosol effects were numerically simulated by Khain et al. (1999, 2001a, 2004) and Khain and Pokrovsky (2004) using a two-dimensional spectral microphysics Hebrew University Cloud Model (HUCM).”
- Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, methodology): “The most detailed and accurate type of model is the spectral bin microphysics model [e.g., Khain et al., 2000, 2004].”
- Notes on state-of-the-art investigations of aerosol effects on precipitation: a critical review (2009, methodology): “As it was shown by Rosenfeld and Woodley (2000), Khain et al (2001), Khain and Pokrovsky (2004) and Khain et al (2008a), the strong atmospheric instability and high AP concentration typical of these clouds lead to the formation of a significant amount of ice crystals by homogeneous freezing.”
- Effects of aerosol optical properties on deep convective clouds and radiative forcing (2008, methodology): “The 2-D spectral-bin cloud model employed in the present study has been extensively validated for its capability to capture the macroand microphysical characteristics of deep convective clouds [Fan et al., 2007a, 2007b; Johnson et al., 2004; Tao and Simpson, 1993; Khain and Pokrovsky, 2004].”
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “, Hall, 1980), often following a category‐based approach similar to bulk schemes (e.g., Geresdi, 1998; Khain et al., 2004; Lebo & Seinfeld, 2011; Reisin et al., 1996).”
- Implementation of a two‐moment bulk microphysics scheme to the WRF model to investigate aerosol‐cloud interaction (2008, result): “Several model results also showed that an increase in the concentration of CCN drastically decreases precipitation [Khain and Pokrovsky, 2004; Cui et al., 2006].”
- The dependence of aerosol effects on clouds and precipitation on cloud‐system organization, shear and stability (2008, background): “[70] There are studies showing precipitation suppression at high aerosol in deep convective clouds in Texas, CCOPE, and Amazon cases [Khain and Pokrovsky, 2004; Khain et al., 2004, 2008; Cui et al., 2006; Phillips et al., 2007b].”