An Analysis of Cloud Drop Growth by Collection Part II. Single Initial Distributions

Berry, Edwin X.; Reinhardt, R. Lee

doi:10.1175/1520-0469(1974)031<1825:aaocdg>2.0.co;2

Cited by 148 publications

(116 citation statements)

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“…In contrast, KK2000 is derived from curve fitting to large eddy simulations of marine stratocumulus. Thompson09 uses a more general Berry and Reinhardt (1974) scheme with an assumed gamma distribution for the droplet spectra (Berry and Reinhardt, 1974, droplet spectra originally followed a generalized Golovin distribution). The schemes presented in Table 1 also have very different fall-speed constants.…”

Section: Microphysics Schemesmentioning

confidence: 99%

Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework

Shipway

Hill

2012

Quart J Royal Meteoro Soc

125

144

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Section: Microphysics Schemesmentioning

confidence: 99%

Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework

Shipway

Hill

2012

Quart J Royal Meteoro Soc

125

144

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“…The reference case used to compare and analyze all simulations corresponds to the autoconversion parameterization (NR6_PCR discussed in Appendix B) developed by . The other six autoconversion parameterizations include those by Kessler [1969], , Sundqvist [1978], Liu et al [2006], Berry [1968], and Berry and Reinhardt [1974]. Detailed descriptions of the autoconversion parameterizations are provided in Appendix B.…”

Section: à3mentioning

confidence: 99%

“…[67] The BR74 parameterization [Berry and Reinhardt, 1974] is built on the observation that a characteristic water content L, of small drops develops steadily over a characteristic time-scale, t. These two positive quantities are expressed in the range 20 mm < D c < 36 mm by where…”

Section: Appendix B: Autoconversion Parameterizationsmentioning

confidence: 99%

Implementation of a two‐moment bulk microphysics scheme to the WRF model to investigate aerosol‐cloud interaction

Li¹,

Wang²,

Zhang³

2008

J. Geophys. Res.

182

186

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[1] A two-moment bulk microphysical scheme has been implemented into the Weather Research and Forecasting (WRF) model to investigate the aerosol-cloud interaction. The microphysical scheme calculates the mass mixing ratios and number concentrations of aerosols and five types of hydrometeors and accounts for various cloud processes including warm and mixed phase microphysics. The representation of the aerosol size distribution is evaluated, showing that the three-moment modal method produces results better in agreement with the sectional approach than the two-moment modal method for variable supersaturation conditions in clouds. The effects of aerosols on cloud processes are investigated using the two-moment bulk microphysical scheme in a convective cumulus cloud event occurring on 24 August 2000 in Houston, Texas. The modeled evolution of the distribution of radar reflectivity in the y-z section, the cell lifetime, and averaged accumulated precipitation with the aerosol concentration under the polluted urban condition are qualitatively consistent with the measurements. Sensitivity simulations are initialized using a set of aerosol profiles with the number concentrations ranging from 200 to 50,000 cm À3 and mass ranging from 1 to 10 mg m À3 at the surface level. The response of precipitation to the increase of aerosol concentrations is nonmonotonic, because of the complicated interaction between cloud microphysics and dynamics. The precipitation increases with aerosol concentrations from clean maritime to continental background conditions, but is considerably reduced and completely suppressed under highly polluted conditions, indicating that the aerosol concentration exhibits distinct effects on the precipitation efficiency under different aerosol conditions. The maximal cloud cover, core updraft, and maximal vertical velocity exhibit similar responses as precipitation. Comparison is made to evaluate the effects of different autoconversion parameterizations and bulk microphysical schemes on cloud properties. Because of its broad application in numerical weather prediction, implementation of the two-moment microphysical scheme to the WRF model will greatly facilitate assessment of aerosol-cloud interaction from individual cumulus to mesoscale convective systems.Citation: Li, G., Y. Wang, and R. , Implementation of a two-moment bulk microphysics scheme to the WRF model to investigate aerosol-cloud interaction,

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“…From Berry and Reinhardt (1974b) The cloud water mixing ratio is defined as r C, D m is the mean diameter, and v is the shape parameter of the size distribution. The mixing ratio tendency (mks units) can then be calculated…”

Section: Autoconversionmentioning

confidence: 99%

New RAMS cloud microphysics parameterization. Part II: The two-moment scheme

Meyers

Walko

Harrington

et al. 1997

Atmospheric Research

442

331

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This paper is the second in a series of articles describing the new microphysics scheme in the Regional Atmospheric Modeling System (RAMS). In this part, a new two-moment microphysical parameterization is described. The proposed scheme predicts the mixing ratio and number concentration of rain, pristine ice crystals, snow, aggregates, graupel and hail. The general gamma distribution is the basis function used for hydrometeor size in each category. Additional features include: use of stochastic collection for number concentration tendency; breakup of rain droplets formulated into the collection efficiency; diagnosis of ice crystal habit dependent on temperature and saturation; evaporation and melting of each species assuming that the smallest particles completely disappear first; and more complex shedding formulations which take into account the amount of water mass on the coalesced hydrometeor. Preliminary sensitivity testing of the new microphysical scheme in an idealized convective simulation shows that the two-moment prediction scheme allows more flexibility of the size distribution enabling the mean diameter to evolve in contrast to the one-moment scheme. Sensitivity to the prescribed input parameters such as cloud droplet concentrations and the shape parameter v is demonstrated in the model results. © 1997 Elsevier Science B.V.

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An Analysis of Cloud Drop Growth by Collection Part II. Single Initial Distributions

Cited by 148 publications

References 0 publications

Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework

Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework

Implementation of a two‐moment bulk microphysics scheme to the WRF model to investigate aerosol‐cloud interaction

New RAMS cloud microphysics parameterization. Part II: The two-moment scheme

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